OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A comprehensive protein design protocol to identify resistance mutations and signatures of adaptation in pathogens
Aditya K. Padhi, Timir Tripathi
Briefings in Functional Genomics (2022) Vol. 22, Iss. 2, pp. 195-203
Closed Access | Times Cited: 9

Showing 9 citing articles:

Computational Protein Design for COVID-19 Research and Emerging Therapeutics
Parismita Kalita, Timir Tripathi, Aditya K. Padhi
ACS Central Science (2023) Vol. 9, Iss. 4, pp. 602-613
Open Access | Times Cited: 15

From De Novo Design to Redesign: Harnessing Computational Protein Design for Understanding SARS-CoV-2 Molecular Mechanisms and Developing Therapeutics
Aditya K. Padhi, Parismita Kalita, Shweata Maurya, et al.
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 41, pp. 8717-8735
Closed Access | Times Cited: 4

Uncovering the secrets of resistance: An introduction to computational methods in infectious disease research
Aditya K. Padhi, Shweata Maurya
Advances in protein chemistry and structural biology (2024), pp. 173-220
Closed Access

Interface design of SARS-CoV-2 symmetrical nsp7 dimer and machine learning-guided nsp7 sequence prediction reveals physicochemical properties and hotspots for nsp7 stability, adaptation, and therapeutic design
Amar Jeet Yadav, S Rajesh Kumar, Shweata Maurya, et al.
Physical Chemistry Chemical Physics (2024) Vol. 26, Iss. 18, pp. 14046-14061
Closed Access

Progress on the development of prediction tools for detecting disease causing mutations in proteins
M. Michael Gromiha, Medha Pandey, A. Kulandaisamy, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109510-109510
Closed Access

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