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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:

Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19
Atanu Acharya, Rupesh Agarwal, Matthew Baker, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 12, pp. 5832-5852
Open Access | Times Cited: 165

Showing 1-25 of 165 citing articles:

Artificial intelligence–enabled virtual screening of ultra-large chemical libraries with deep docking
Francesco Gentile, Jean Charle Yaacoub, James Gleave, et al.
Nature Protocols (2022) Vol. 17, Iss. 3, pp. 672-697
Open Access | Times Cited: 244
Molecular modeling in drug discovery
Temitope Isaac Adelusi, Abdul-Quddus Kehinde Oyedele, Ibrahim Damilare Boyenle, et al.
Informatics in Medicine Unlocked (2022) Vol. 29, pp. 100880-100880
Open Access | Times Cited: 204
A critical overview of computational approaches employed for COVID-19 drug discovery
Eugene Muratov, Rommie E. Amaro, Carolina Horta Andrade, et al.
Chemical Society Reviews (2021) Vol. 50, Iss. 16, pp. 9121-9151
Open Access | Times Cited: 174
The transformational role of GPU computing and deep learning in drug discovery
Mohit Pandey, Michael Fernández, Francesco Gentile, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 3, pp. 211-221
Open Access | Times Cited: 162
Defining and Exploring Chemical Spaces
Connor W. Coley
Trends in Chemistry (2020) Vol. 3, Iss. 2, pp. 133-145
Open Access | Times Cited: 109
Accelerating high-throughput virtual screening through molecular pool-based active learning
David Graff, Eugene I. Shakhnovich, Connor W. Coley
Chemical Science (2021) Vol. 12, Iss. 22, pp. 7866-7881
Open Access | Times Cited: 93
Biomolecular modeling thrives in the age of technology
Tamar Schlick, Stephanie Portillo‐Ledesma
Nature Computational Science (2021) Vol. 1, Iss. 5, pp. 321-331
Open Access | Times Cited: 88
High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor
Austin Clyde, Stephanie Galanie, Daniel W. Kneller, et al.
Journal of Chemical Information and Modeling (2021) Vol. 62, Iss. 1, pp. 116-128
Open Access | Times Cited: 83
Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19
Gunjan Arora, Jayadev Joshi, Rahul Shubhra Mandal, et al.
Pathogens (2021) Vol. 10, Iss. 8, pp. 1048-1048
Open Access | Times Cited: 73
Discovery of SARS-CoV-2 Mpro peptide inhibitors from modelling substrate and ligand binding
H. T. Henry Chan, Marc A. Moesser, Rebecca K. Walters, et al.
Chemical Science (2021) Vol. 12, Iss. 41, pp. 13686-13703
Open Access | Times Cited: 67
Benchmarking the Ability of Common Docking Programs to Correctly Reproduce and Score Binding Modes in SARS-CoV-2 Protease Mpro
Shani Zev, Keren Raz, Renana Schwartz, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 6, pp. 2957-2966
Open Access | Times Cited: 64
Accelerating COVID-19 Research Using Molecular Dynamics Simulation
Aditya K. Padhi, Soumya Lipsa Rath, Timir Tripathi
The Journal of Physical Chemistry B (2021) Vol. 125, Iss. 32, pp. 9078-9091
Closed Access | Times Cited: 64
Applications of Molecular Dynamics Simulation in Protein Study
Siddharth Sinha, Benjamin Tam, San Ming Wang
Membranes (2022) Vol. 12, Iss. 9, pp. 844-844
Open Access | Times Cited: 61
Automated discovery of noncovalent inhibitors of SARS-CoV-2 main protease by consensus Deep Docking of 40 billion small molecules
Francesco Gentile, Michael Fernández, Fuqiang Ban, et al.
Chemical Science (2021) Vol. 12, Iss. 48, pp. 15960-15974
Open Access | Times Cited: 55
A Review on Parallel Virtual Screening Softwares for High-Performance Computers
N. Arul Murugan, Artur Podobas, Davide Gadioli, et al.
Pharmaceuticals (2022) Vol. 15, Iss. 1, pp. 63-63
Open Access | Times Cited: 47
Artificial Intelligence Technologies for COVID-19 De Novo Drug Design
Giuseppe Floresta, Chiara Zagni, Davide Gentile, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 6, pp. 3261-3261
Open Access | Times Cited: 42
Comprehensive Survey of Consensus Docking for High-Throughput Virtual Screening
Clara Blanes‐Mira, Pilar Fernández-Aguado, Jorge de Andrés-López, et al.
Molecules (2022) Vol. 28, Iss. 1, pp. 175-175
Open Access | Times Cited: 41
1,2,3-Triazole-Benzofused Molecular Conjugates as Potential Antiviral Agents against SARS-CoV-2 Virus Variants
Jehan Y. Al‐Humaidi, Marwa M. Shaaban, Nadjet Rezki, et al.
Life (2022) Vol. 12, Iss. 9, pp. 1341-1341
Open Access | Times Cited: 37
Quantum mechanical-based strategies in drug discovery: Finding the pace to new challenges in drug design
Tiziana Ginex, Javier Vázquez, Carolina Estarellas, et al.
Current Opinion in Structural Biology (2024) Vol. 87, pp. 102870-102870
Open Access | Times Cited: 11
Sample efficient reinforcement learning with active learning for molecular design
Michael Dodds, Jeff Guo, Thomas Löhr, et al.
Chemical Science (2024) Vol. 15, Iss. 11, pp. 4146-4160
Open Access | Times Cited: 9
In silico screening of LRRK2 WDR domain inhibitors using deep docking and free energy simulations
Evgeny Gutkin, Filipp Gusev, Francesco Gentile, et al.
Chemical Science (2024) Vol. 15, Iss. 23, pp. 8800-8812
Open Access | Times Cited: 8
Dynamic Profiling of β-Coronavirus 3CL Mpro Protease Ligand-Binding Sites
Eunice Cho, Margarida Rosa, Ruhi Anjum, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 6, pp. 3058-3073
Open Access | Times Cited: 48
The Repurposed ACE2 Inhibitors: SARS-CoV-2 Entry Blockers of Covid-19
Iqrar Ahmad, Rahul Pawara, Sanjay J. Surana, et al.
Topics in Current Chemistry (2021) Vol. 379, Iss. 6
Open Access | Times Cited: 47
Strengths and Weaknesses of Docking Simulations in the SARS-CoV-2 Era: the Main Protease (Mpro) Case Study
Manuel A. Llanos, Melisa E. Gantner, Santiago Rodrı́guez, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 8, pp. 3758-3770
Open Access | Times Cited: 42
Emerging frontiers in virtual drug discovery: From quantum mechanical methods to deep learning approaches
Christoph Gorgulla, Abhilash Jayaraj, Konstantin Fackeldey, et al.
Current Opinion in Chemical Biology (2022) Vol. 69, pp. 102156-102156
Open Access | Times Cited: 33
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