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2022
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., “Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys”, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., “Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys”, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., “Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys”, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., “Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys”, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., “Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys”, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., “Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys”, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., “Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys”, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., “Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys”, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., “Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys”, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., “Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys”, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
S. K. Verma and Punji, B., “Manganese-catalyzed C(sp(2))-H alkylation of indolines and arenes with unactivated alkyl bromides”, Chemistry-an Asian Journal, vol. 17, no. 9, p. e202200103, 2022.
R. Pramanik, Soni, F., Shanmuganathan, K., and Arockiarajan, A., “Mechanics of soft polymeric materials using a fractal viscoelastic model”, Mechanics of Time-Dependent Materials, vol. 26, no. 2, 2022.
P. Babu, Dash, S. Ranjan, and Parida, K., “Mechanistic insight the visible light driven hydrogen generation by plasmonic Au-Cu alloy mounted on TiO2 @B-doped g-C3N4 heterojunction photocatalyst”, Journal of Alloys and Compounds, vol. 909, p. 164754, 2022.
P. Deulgaonkar, Bhambure, R., Prasad, B., Mishra, A., Tiwari, S., and Mody, R., “Mechanistic modeling of continuous capture step purification of biosimilar monoclonal antibody therapeutic”, Journal of Chemical Technology and Biotechnology, vol. 97, no. 9, pp. 2404-2419, 2022.
A. Sen, Kumar, R., Pandey, S., K. Raj, V., Kumar, P., Vanka, K., and Chikkali, S. H., “Mechanistically guided one pot synthesis of phosphine-phosphite and its implication in asymmetric hydrogenation”, European Journal of Organic Chemistry, vol. 2022, no. 2, p. e202101447, 2022.
S. Prakash, Malshikare, H., and Sengupta, D., “Molecular mechanisms underlying caveolin-1 mediated membrane curvature”, Journal of Membrane Biology, vol. 255, no. 2-3, pp. 225-236, 2022.
S. Kumari Yadav, Panwar, D., Singh, A., Tellis, M. B., Joshi, R. Shamsunder, and Dixit, A., “Molecular phylogeny, structure modeling and in silico screening of putative inhibitors of aerolysin of Aeromonas hydrophila EUS112”, Journal of Biomolecular Structure & Dynamics, vol. 40, no. 19, 2022.
S. Mondal, Sarkar, S., Bagchi, D., Das, T., Das, R., Singh, A. Kumar, Prasanna, P. Kechanda, Vinod, C. P., Chakraborty, S., and Peter, S. C., “Morphology-tuned Pt3Ge accelerates water dissociation to industrial-standard hydrogen production over a wide pH range”, Advanced Materials, vol. 34, no. 30, p. 2202294, 2022.
S. Mondal, Sarkar, S., Bagchi, D., Das, T., Das, R., Singh, A. Kumar, Prasanna, P. Kechanda, Vinod, C. P., Chakraborty, S., and Peter, S. C., “Morphology-tuned Pt3Ge accelerates water dissociation to industrial-standard hydrogen production over a wide pH range”, Advanced Materials, vol. 34, no. 30, p. 2202294, 2022.
K. Wasnik, Pawar, M. D., Raphael, L. Rose, Pullanchiyodan, A., V. Shelke, M., and Raghavan, P., “MXenes: advances in the synthesis and application in supercapacitors and batteries”, Journal of Materials Research, vol. 37, no. 22, pp. 3865-3889, 2022.
K. Wasnik, Pawar, M. D., Raphael, L. Rose, Pullanchiyodan, A., V. Shelke, M., and Raghavan, P., “MXenes: advances in the synthesis and application in supercapacitors and batteries”, Journal of Materials Research, vol. 37, no. 22, pp. 3865-3889, 2022.
R. Das, Sarkar, S., Kumar, R., Ramarao, S. D., Cherevotan, A., Jasil, M., Vinod, C. P., Singh, A. Kumar, and Peter, S. C., “Noble-metal-free heterojunction photocatalyst for selective CO2 reduction to methane upon induced strain relaxation”, ACS Catalysis, vol. 12, no. 1, pp. 687-697, 2022.
T. R. Shaikh, George, C. P., Bhukya, P., Shelke, N., Pawar, K., Garai, A., Dandela, R., Gonnade, R. G., and Nangia, A. K., “Novel crystal forms of Entresto: a supramolecular complex of trisodium sacubitril/valsartan hemi-pentahydrate”, Crystengcomm, vol. 24, no. 42, pp. 7387-7393, 2022.
N. Rao, Lele, A. K., and Patwardhan, A. W., “Optimization of Liquid Organic Hydrogen Carrier (LOHC) dehydrogenation system”, International Journal of Hydrogen Energy, vol. 47, no. 66, pp. 28530-28547, 2022.
V. Wagh, Patel, H., Patel, N., Vamkudoth, K. Rao, and Ajmera, S., “Pectinase production by aspergillus niger and its applications in fruit juice clarification”, Journal of Pure and Applied Microbiology, vol. 16, no. 4, pp. 2724-2737, 2022.
V. Wagh, Patel, H., Patel, N., Vamkudoth, K. Rao, and Ajmera, S., “Pectinase production by aspergillus niger and its applications in fruit juice clarification”, Journal of Pure and Applied Microbiology, vol. 16, no. 4, pp. 2724-2737, 2022.
K. Koner, Karak, S., Kandambeth, S., Karak, S., Thomas, N., Leanza, L., Perego, C., Pesce, L., Capelli, R., Moun, M., Bhakar, M., Ajithkumar, T. G., Pavan, G. M., and Banerjee, R., “Porous covalent organic nanotubes and their assembly in loops and toroids”, Nature Chemistry, vol. 14, no. 5, p. 507+, 2022.
K. Koner, Karak, S., Kandambeth, S., Karak, S., Thomas, N., Leanza, L., Perego, C., Pesce, L., Capelli, R., Moun, M., Bhakar, M., Ajithkumar, T. G., Pavan, G. M., and Banerjee, R., “Porous covalent organic nanotubes and their assembly in loops and toroids”, Nature Chemistry, vol. 14, no. 5, p. 507+, 2022.
K. Koner, Karak, S., Kandambeth, S., Karak, S., Thomas, N., Leanza, L., Perego, C., Pesce, L., Capelli, R., Moun, M., Bhakar, M., Ajithkumar, T. G., Pavan, G. M., and Banerjee, R., “Porous covalent organic nanotubes and their assembly in loops and toroids”, Nature Chemistry, vol. 14, no. 5, p. 507+, 2022.
D. Bagchi, Sarkar, S., Singh, A. Kumar, Vinod, C. P., and Peter, S. C., “Potential- and time-dependent dynamic nature of an oxide-derived pdin nanocatalyst during electrochemical CO2 reduction”, ACS Nano, vol. 16, no. 4, pp. 6185-6196, 2022.
M. Abdulghani, Iram, R., Chidrawar, P., Bhosle, K., Kazi, R., Patil, R., Kharat, K., and Zore, G., “Proteomic profile of candida albicans biofilm”, Journal of Proteomics, vol. 265, p. 104661, 2022.
R. P. Sowjanya, Shilpa, P., Patil, G. Prakash, Babu, D. Karuppanna, Sharma, J., Sangnure, V. R., Mundewadikar, D. M., Natarajan, P., Marathe, A. Rajiv, Reddy, U. K., and Singh, V. Nripendra, “Reference quality genome sequence of Indian pomegranate cv. `Bhagawa' (Punica granatum L.)”, Frontiers in Plant Science, vol. 13, p. 947164, 2022.
M. Ghalawat and Poddar, P., “Remarkable effect of Fe and Se composition on magnetic properties-comparative study of the Fe-Se system at the nanoscale”, Journal of Physical Chemistry C, vol. 126, no. 9, pp. 4655-4663, 2022.
A. Patrike, Yadav, P., Shelke, V., and Shelke, M., “Research progress and perspective on lithium/sodium metal anodes for next-generation rechargeable batteries”, ChemSusChem, vol. 15, no. 14, p. e202200504, 2022.
A. B. Shabade, Sharma, D. M., Bajpai, P., Gonnade, R. G., Vanka, K., and Punji, B., “Room temperature chemoselective hydrogenation of C=C, C=O and C=N bonds by using a well-defined mixed donor Mn(I) pincer catalyst”, Chemical Science, vol. 13, no. 46, pp. 13764-13773, 2022.
D. M. Sharma, Gouda, C., Gonnade, R. G., and Punji, B., “Room temperature Z-selective hydrogenation of alkynes by hemilabile and non-innocent (NNN)Co(ii) catalysts”, Catalysis Science & Technology, vol. 12, no. 6, pp. 1843-1849, 2022.
P. M. Kodam, Ghadage, P. A., Nadargi, D. Y., Shinde, K. P., Mulla, I. S., Park, J. S., and Suryavanshi, S. S., “Ru, Pd doped WO3 nanomaterials: a synergistic effect of noble metals to enhance the acetone response properties”, Ceramics International, vol. 48, no. 12, pp. 17923-17933, 2022.
K. Asokan, Patil, M. Krishnat, Mukherjee, S. Porel, Sukumaran, S. Babu, and Nandakumar, T., “Scalable mechanochemical synthesis of beta-ketoenamine-linked covalent organic frameworks for methane storage”, Chemistry-An Asian Journal, vol. 17, no. 24, 2022.
P. Patel, Patil, T., Maiti, S., Paul, D., and Amaresan, N., “Screening of osmotic stress-tolerant bacteria for plant growth promotion in wheat (Triticum aestivum L.) and brinjal (Solanum melongena L.) under drought conditions”, Letters in Applied Microbiology, vol. 75, no. 5, pp. 1286-1292, 2022.
P. Patel, Patil, T., Maiti, S., Paul, D., and Amaresan, N., “Screening of osmotic stress-tolerant bacteria for plant growth promotion in wheat (Triticum aestivum L.) and brinjal (Solanum melongena L.) under drought conditions”, Letters in Applied Microbiology, vol. 75, no. 5, pp. 1286-1292, 2022.
P. Patel, Patil, T., Maiti, S., Paul, D., and Amaresan, N., “Screening of osmotic stress-tolerant bacteria for plant growth promotion in wheat (Triticum aestivum L.) and brinjal (Solanum melongena L.) under drought conditions”, Letters in Applied Microbiology, vol. 75, no. 5, pp. 1286-1292, 2022.
M. D. Baravkar and Prasad, B. L. V., “Selective electro-oxidation of phenol to 1,4-hydroquinone employing carbonaceous electrodes: surface modification is the key”, New Journal of Chemistry, vol. 46, pp. 2518-2525, 2022.
L. Gurrala, M. Kumar, M., Sharma, S., Paek, C., and Vinu, R., “Selective production of C9 monomeric phenols via hydrogenolysis of lignin using Pd-(W/Zr/Mo oxides)-supported on biochar catalyst”, Fuel, vol. 308, p. 121818, 2022.
E. Joseph, Kane, K., Parekh, N., Nisal, A., and V. Janorkar, A., “Silk fibroin and recombinant elastin blend nano-coatings for implantable medical devices”, Materials Today Communications, vol. 33, p. 104875, 2022.
P. B. Patil and Bhandari, V. M., “Solvent-assisted cavitation for enhanced removal of organic pollutants - degradation of 4-aminophenol”, Journal of Environmental Management, vol. 311, p. 114857, 2022.
D. Nadargi, Umar, A., Nadargi, J., Patil, J., Mulla, I., Akbar, S., and Suryavanshi, S., “Spinel magnesium ferrite (MgFe2O4): a glycine-assisted colloidal combustion and its potentiality in gas-sensing application”, Chemosensors, vol. 10, no. 9, p. 361, 2022.
A. Ghadage, Kodam, P., Nadargi, D., Shinde, K. P., Mulla, I., Park, J. S., and Suryavanshi, S., “Sponge microflowers of NiCo2O4: a versatile material for high performance supercapacitor”, Journal of Porous Materials, vol. 29, no. 4, pp. 1239-1252, 2022.
S. Panda, Jozwiak, A., Sonawane, P. D., Szymanski, J., Kazachkova, Y., Vainer, A., Kilambi, H. Vasuki, Almekias-Siegl, E., Dikaya, V., Bocobza, S., Shohat, H., Meir, S., Wizler, G., Giri, A. P., Schuurink, R., Weiss, D., Yasuor, H., Kamble, A., and Aharoni, A., “Steroidal alkaloids defence metabolism and plant growth are modulated by the joint action of gibberellin and jasmonate signalling”, New Phytologist, vol. 233, no. 3, pp. 1220-1237, 2022.
D. Goud, Churipard, S. R., Bagchi, D., Singh, A. Kumar, Riyaz, M., Vinod, C. P., and Peter, S. C., “Strain-enhanced phase transformation of iron oxide for higher alcohol production from CO2”, ACS Catalysis, vol. 12, no. 18, pp. 11118-11128, 2022.
D. Bagchi, Raj, J., Singh, A. Kumar, Cherevotan, A., Roy, S., Manoj, K. Sai, Vinod, C. P., and Peter, S. C., “Structure-tailored surface oxide on Cu-Ga intermetallics enhances CO2 reduction selectivity to methanol at ultralow potential”, Advanced Materials, vol. 34, no. 19, p. 2109426, 2022.
R. Nomula, Pratapure, M. S., and Kontham, R., “Studies directed toward the total synthesis of nannocystin A”, ChemistrySelect, vol. 7, no. 42, p. e202203893, 2022.
S. Prakash Kulkarni, Dure, S. N., Joshi, S. S., Pandare, K. V., and Mali, N. A., “Subcritical water hydrolysis of N-acetyl-D-glucosamine: hydrolysis mechanism, reaction pathways and optimization for selective production of 5-HMF and levulinic acid”, Carbohydrate Research, vol. 516, p. 108560, 2022.
N. Parekh, Bijosh, C. K., Kane, K., Panicker, A., Nisal, A., Wangikar, P., and Agawane, S., “Superior processability of Antheraea mylitta silk with cryo-milling: performance in bone tissue regeneration”, International Journal of Biological Macromolecules, vol. 213, pp. 155-165, 2022.
N. Parekh, Bijosh, C. K., Kane, K., Panicker, A., Nisal, A., Wangikar, P., and Agawane, S., “Superior processability of Antheraea mylitta silk with cryo-milling: performance in bone tissue regeneration”, International Journal of Biological Macromolecules, vol. 213, pp. 155-165, 2022.
S. Kumari Jhajharia, Gupta, S., Manappadan, Z., Selvaraj, K., Padmanabhan, M. K., and Mahajan, R. L., “Surface alteration driven bi-functional catalytic activity of alkali niobate-N doped graphene composite for exalted oxygen electrochemistry”, Applied Surface Science, vol. 580, p. 152160, 2022.
P. Yadav, Parte, G., Malik, W., Sabri, Y. M., Jones, L. A., and V. Shelke, M., “Sustainable composite of SnFe2O4 conversion alloying anode for lithium-ion storage”, Sustainable Energy & Fuels, vol. 6, no. 16, pp. 3806-3817, 2022.
A. C. Tella, Isaac, A. Y., Clayton, H. S., Ogunlaja, A. S., Venugopalan, A. T., Prabu, M., and Thirumalaiswamy, R., “Synthesis and crystal structures of Mn(II) and Co(II) complexes as catalysts for oxidation of cyclohexanone”, Inorganics, vol. 10, no. 7, p. 100, 2022.
M. Pirimova, Torambetov, B., Kadirova, S., Ziyaev, A., Gonnade, R. G., and Ashurov, J., “Synthesis, crystal structure and Hirshfeld surface analysis of a zinc(II) coordination polymer of 5-phenyl-1,3,4-oxa­diazole-2-thiol­ate”, Acta Crystallographica Section E Crystallographic Communications, vol. 87, no. Part 8, pp. 794-797, 2022.
J. Shukla, Illathvalappil, R., Kumar, S., Chorol, S., Pandikassala, A., Kurungot, S., and Mukhopadhyay, P., “Synthesis of a highly electron-deficient, water-stable, large ionic box: multielectron accumulation and proton conductivity”, Organic Letters, vol. 24, no. 16, pp. 3038-3042, 2022.
S. M. Jagadale, Abhale, Y. K., Pawar, H. R., Shinde, A., Bobade, V. D., Chavan, A. P., Sarkar, D., and Mhaske, P. C., “Synthesis of new thiazole and pyrazole clubbed 1,2,3-triazol derivatives as potential antimycobacterial and antibacterial agents”, Polycyclic Aromatic Compounds, vol. 42, no. 6, pp. 3216-3237, 2022.
H. M. Abdul Hakkeem, Babu, A., Shilpa, N., Venugopal, A. A., Mohamed, A. P., Kurungot, S., and Pillai, S., “Tailored synthesis of ultra-stable Au@Pd nanoflowers with enhanced catalytic properties using cellulose nanocrystals”, Carbohydrate Polymers, vol. 292, p. 119723, 2022.
U. Kumar Nandi, Patel, P., Moid, M., Nandi, M. Kumar, Sengupta, S., Karmakar, S., Maiti, P. K., Dasgupta, C., and Bhattacharyya, S. Maitra, “Thermodynamics and its correlation with dynamics in a mean-field model and pinned systems: a comparative study using two different methods of entropy calculation”, Journal of Chemical Physics, vol. 156, no. 1, p. 014503, 2022.
S. S. Patil, Jachak, G. R., Krishna, G. Rama, Argade, N. P., and D. Reddy, S., “Total synthesis of 12, 13-dibenzyl-banistenoside B and analogs”, European Journal of Organic Chemistry, vol. 2022, no. 19, p. e202200222, 2022.
P. Oak, Jha, V., Deshpande, A., Tanpure, R., Dawkar, V., Mundhe, S., Ghuge, S., Prabhudesai, S., Krishanpal, A., Jere, A., Giri, A., and Gupta, V., “Transcriptional and translational perturbation in abiotic stress induced physiological activities and metabolic pathway networks in spongy tissue disorder of mango fruit”, Postharvest Biology and Technology, vol. 188, p. 111880, 2022.
S. Pahar, Sharma, V., Mahata, B., George, C. P., Sharma, H., Vanka, K., and Sen, S. S., “Tridentate NacNac stabilized tin and nickel complexes: access to a monomeric nickel hydride and its catalytic application”, Inorganic Chemistry, vol. 61, no. 43, pp. 17370-17377, 2022.
S. Thundiyil, Pandikassala, A., Kurungot, S., and R. Devi, N., “Tuning of oxygen reduction pathways through structural variation in transition metal-doped Ba2In2O5”, ChemElectroChem, vol. 9, p. e202101163, 2022.
K. Soumya, I. Selvam, P., Vinod, C. P., and Potty, S. N., “Tuning of work function of ZnO by doping and co-doping: an investigation using X-ray photoelectron spectroscopy”, Thin Solid Films, vol. 761, p. 139538, 2022.
A. Cherevotan, Ray, B., Yadav, A., Bagchi, D., Singh, A. Kumar, Riyaz, M., Churipard, S. R., Naral, V., Kaur, K., Gautam, U. K., Vinod, C. P., and Peter, S. C., “Tuning the hybridization and charge polarization in metal nanoparticles dispersed over Schiff base functionalized SBA-15 enhances CO2 capture and conversion to formic acid”, Journal of Materials Chemistry A, vol. 10, no. 35, pp. 18354-18362, 2022.
F. A. Mulani, Nandikol, S. S., Kajjihundi, J. S., Pathappa, N., Puttappa, S., and V. Thulasiram, H., “Ultra-high performance liquid chromatography Q-Orbitrap MS/MS-based profiling and quantification of limonoids in Meliaceae plants”, Analytical and Bioanalytical Chemistry, vol. 414, no. 20, pp. 6093-6106, 2022.
F. A. Mulani, Nandikol, S. S., Kajjihundi, J. S., Pathappa, N., Puttappa, S., and V. Thulasiram, H., “Ultra-high performance liquid chromatography Q-Orbitrap MS/MS-based profiling and quantification of limonoids in Meliaceae plants”, Analytical and Bioanalytical Chemistry, vol. 414, no. 20, pp. 6093-6106, 2022.
L. Gurrala, Kumar, M. M., Yerrayya, A., Kandasamy, P., Castano, P., Raja, T., Pilloni, G., Paek, C., and Vinu, R., “Unraveling the reaction mechanism of selective C9 monomeric phenols formation from lignin using Pd-Al2O3-activated biochar catalyst”, Bioresource Technology, vol. 344, p. 126204, 2022.
L. Gurrala, Kumar, M. M., Yerrayya, A., Kandasamy, P., Castano, P., Raja, T., Pilloni, G., Paek, C., and Vinu, R., “Unraveling the reaction mechanism of selective C9 monomeric phenols formation from lignin using Pd-Al2O3-activated biochar catalyst”, Bioresource Technology, vol. 344, p. 126204, 2022.
V. Kashyap, Pandikassala, A., Singla, G., Khan, T. Suvra, M. Haider, A., Vinod, C. P., and Kurungot, S., “Unravelling faradaic electrochemical efficiencies over Fe/Co spinel metal oxides using surface spectroscopy and microscopy techniques”, Nanoscale, vol. 14, no. 42, pp. 15928-15941, 2022.
B. Krishnakumar, Pucci, A., Wadgaonkar, P. P., Kumar, I., Binder, W. H., and Rana, S., “Vitrimers based on bio-derived chemicals: overview and future prospects”, Chemical Engineering Journal, vol. 433, p. 133261, 2022.
A. Datar, Paithankar, H., Deb, P., Chugh, J., Bagchi, S., Mukherjee, A., and Hazra, A., “Water-controlled keto-enol tautomerization of a prebiotic nucleobase”, Journal of Physical Chemistry B, vol. 126, no. 31, pp. 5735–5743, 2022.
E. Samuel, Joshi, B., Park, C., Aldalbahi, A., El-Newehy, M., Lee, H. - S., and Yoon, S. S., “Wearable fabric supercapacitors based on CNTs and polyhedral ZnO with a wide potential window”, International Journal of Energy Research, vol. 46, no. 6, pp. 8186-8200, 2022.
2021
M. Nirshad Alam, Dash, S. Ranjan, Mukherjee, A., Pandole, S., Marelli, U. Kiran, Vanka, K., and Maity, P., “[1,3]-Claisen rearrangement via removable functional group mediated radical stabilization”, Organic Letters, vol. 23, no. 3, pp. 890-895, 2021.
N. T. Patil, Patil, M. T., Sarkar, N., Gonnade, R. G., and Shashidhar, M. S., “Access to enantiomeric organic compounds with potential for synthesis via racemic conglomerates: inositol derivatives as a case in point”, Crystal Growth & Design, vol. 21, no. 7, pp. 3786-3797, 2021.
N. T. Patil, Patil, M. T., Sarkar, N., Gonnade, R. G., and Shashidhar, M. S., “Access to enantiomeric organic compounds with potential for synthesis via racemic conglomerates: inositol derivatives as a case in point”, Crystal Growth & Design, vol. 21, no. 7, pp. 3786-3797, 2021.
R. A. Jagtap, Ankade, S. B., Gonnade, R. G., and Punji, B., “Achiral and chiral NNN-pincer nickel complexes with oxazolinyl backbones: application in transfer hydrogenation of ketones”, New Journal of Chemistry, vol. 45, no. 27, pp. 11927-11936, 2021.
P. S. Pawar, Lokhande, A. A., Nandanwar, S. U., Niphadkar, P. S., and Bokade, V. V., “Active nickel hollow nanosphere supported over SiO2 catalyst for reduction of nitro compound”, Particulate Science and Technology, vol. 40, no. 3, pp. 325-335, 2021.
S. Bansal, Shabade, A. B., and Punji, B., “Advances in C(sp(2))-H/C(sp(2))-H oxidative coupling of (Hetero)arenes using 3d transition metal catalysts”, Advanced Synthesis & Catalysis, vol. 363, no. 8, pp. 1998-2022, 2021.
M. Vijaykumar and Punji, B., “Advances in transition-metal-catalyzed C-H bond oxygenation of amides”, Synthesis-Stuttgart, 2021.
N. V. Gorantla, Sunny, L. P., Rajasekhar, K., Nagaraju, P. G., Priyadarshini, P. C. G., Govindaraju, T., and Chinnathambi, S., “Amyloid-beta-derived peptidomimetics inhibits tau aggregation”, ACS Omega , vol. 6, no. 17, pp. 11131-11138, 2021.
A. B. Viveki, Pol, M. D., Halder, P., Sonavane, S. R., and Mhaske, S. B., “Annulation of enals with carbamoylpropiolates via NHC-catalyzed enolate pathway: access to functionalized maleimides/iso-maleimides and synthesis of aspergillus FH-X-213”, Journal of Organic Chemistry, vol. 86, no. 14, pp. 9466-9477, 2021.
S. Chavan, Bhuvad, S., Kumbhlakar, B., Auti, J., Walunj, T., Pathak, S., Tanpure, R., Gujar, S., Shinde, J., Kulkarni, A., Gupta, V., Deshmukh, V., and Sardeshmukh, S., “Antimicrobial and antioxidant potential of a standardized ayurvedic formulation explains its clinical efficacy as gargles in post-radiotherapy oral cancer patients”, Journal of Herbal Medicine, vol. 30, p. 100510, 2021.
S. Pal, Nikam, A. V., and Kulkarni, A. A., “Antisolvent based ultrasound-assisted batch and continuous flow precipitation of metformin hydrochloride particles”, Journal of Flow Chemistry, vol. 11, no. 2, pp. 181-192, 2021.
R. Lochana Panchangam, Rao, R. Nishanth, Balamurali, M. Motilal, Hingamire, T. B., Shanmugam, D., Manickam, V., and Chanda, K., “Antitumor effects of Ir(III)-2H-indazole complexes for triple negative breast cancer”, Inorganic Chemistry, vol. 60, no. 23, pp. 17593-17607, 2021.
S. P. Chavan, Kawale, S. A., Patil, N. B., and Kalbhor, D. B., “Application of allylic amine formation from aziridine-2-ol under appel reaction condition: synthesis of N-(tert-butoxycarbonyl)-D-vinyl glycine methyl ester”, Tetrahedron Letters, vol. 73, p. 153119, 2021.
A. M. Tamboli, Tamboli, M. S., Praveen, C. S., Dwivedi, P. Kumari, Karbhal, I., Gosavi, S. W., ,, and Kale, B. B., “Architecture of NaFe(MoO4)2 as a novel anode material for rechargeable lithium and sodium ion batteries”, Applied Surface Science, vol. 559, p. 149903, 2021.
K. R. Kondhare, Patil, A. B., and Giri, A. P., “Auxin: an emerging regulator of tuber and storage root development”, Plant Science, vol. 306, p. 110854, 2021.
V. P. Patil, Kashid, A. A., Solanki, B. S., Kharul, U. K., and Iyer, S., “Bimetallic nano alloy architecture on a special polymer: Ni or Cu merged with Pd for the promotion of the Mizoroki-Heck reaction and the Suzuki-Miyaura coupling”, Journal of Chemical Sciences, vol. 133, no. 1, p. 8, 2021.
A. A. Kashid, Patil, D. J., Mali, R. D., Patil, V. P., Neethu, T. V., Meroliya, H. K., Waghmode, S. A., and Iyer, S., “Bimetallic Ni-Pd synergism-mixed metal catalysis of the mizoroki-heck reaction and the suzuki-miyaura coupling of aryl bromides”, Catalysis Letters, vol. 151, no. 2, pp. 353-358, 2021.
A. A. Kashid, Patil, D. J., Mali, R. D., Patil, V. P., Neethu, T. V., Meroliya, H. K., Waghmode, S. A., and Iyer, S., “Bimetallic Ni-Pd synergism-mixed metal catalysis of the mizoroki-heck reaction and the suzuki-miyaura coupling of aryl bromides”, Catalysis Letters, vol. 151, no. 2, pp. 353-358, 2021.
A. A. Kashid, Patil, D. J., Mali, R. D., Patil, V. P., Neethu, T. V., Meroliya, H. K., Waghmode, S. A., and Iyer, S., “Bimetallic Ni–Pd synergism—mixed metal catalysis of the mizoroki-heck reaction and the suzuki–miyaura coupling of aryl bromides”, Catalysis Letters, vol. 151, no. 2, pp. 353 - 358, 2021.
A. A. Kashid, Patil, D. J., Mali, R. D., Patil, V. P., Neethu, T. V., Meroliya, H. K., Waghmode, S. A., and Iyer, S., “Bimetallic Ni–Pd synergism—mixed metal catalysis of the mizoroki-heck reaction and the suzuki–miyaura coupling of aryl bromides”, Catalysis Letters, vol. 151, no. 2, pp. 353 - 358, 2021.
B. Joshi, Samuel, E., Park, C., Kim, Y., Lee, H. - S., and Yoon, S. S., “Bimetallic ZnFe2O4 nanosheets prepared via electrodeposition as binder-free high-performance supercapacitor electrodes”, Applied Surface Science, vol. 559, p. 149951, 2021.
R. Parate, Borgave, M., Dharne, M., and Rode, C., “Bioglycerol (C3) upgrading to 2,3-butanediol (C4) by cell-free extracts of Enterobacter aerogenes NCIM 2695”, Journal of Chemical Technology and Biotechnology, vol. 96, no. 5, pp. 1316-1325, 2021.
R. Zhang, Noordam, L., Ou, X., Ma, B., Li, Y., Das, P., Shi, S., Liu, J., Wang, L., Li, P., Verstegen, M. M. A., D. Reddy, S., van Der Laan, L. J. W., Peppelenbosch, M. P., Kwekkeboom, J., Smits, R., and Pan, Q., “Biological process of lysine-tRNA charging is therapeutically targetable in liver cancer”, Liver International, vol. 41, no. 1, pp. 206-219, 2021.
R. Zhang, Noordam, L., Ou, X., Ma, B., Li, Y., Das, P., Shi, S., Liu, J., Wang, L., Li, P., Verstegen, M. M. A., D. Reddy, S., van Der Laan, L. J. W., Peppelenbosch, M. P., Kwekkeboom, J., Smits, R., and Pan, Q., “Biological process of lysine-tRNA charging is therapeutically targetable in liver cancer”, Liver International, vol. 41, no. 1, pp. 206-219, 2021.

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