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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:

Property-Unmatched Decoys in Docking Benchmarks
Reed M. Stein, Yang Ying, Trent E. Balius, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 2, pp. 699-714
Open Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

A practical guide to large-scale docking
Brian J. Bender, Stefan Gahbauer, Andreas Luttens, et al.
Nature Protocols (2021) Vol. 16, Iss. 10, pp. 4799-4832
Open Access | Times Cited: 352
Ultralarge Virtual Screening Identifies SARS-CoV-2 Main Protease Inhibitors with Broad-Spectrum Activity against Coronaviruses
Andreas Luttens, Hjalmar Gullberg, Eldar Abdurakhmanov, et al.
Journal of the American Chemical Society (2022) Vol. 144, Iss. 7, pp. 2905-2920
Open Access | Times Cited: 176
Fragment binding to the Nsp3 macrodomain of SARS-CoV-2 identified through crystallographic screening and computational docking
M. Schuller, G.J. Correy, Stefan Gahbauer, et al.
Science Advances (2021) Vol. 7, Iss. 16
Open Access | Times Cited: 152
Structures of the σ2 receptor enable docking for bioactive ligand discovery
Assaf Alon, Jiankun Lyu, João M. Bráz, et al.
Nature (2021) Vol. 600, Iss. 7890, pp. 759-764
Open Access | Times Cited: 141
Modeling the expansion of virtual screening libraries
Jiankun Lyu, John J. Irwin, Brian K. Shoichet
Nature Chemical Biology (2023) Vol. 19, Iss. 6, pp. 712-718
Open Access | Times Cited: 94
Structure-based discovery of nonopioid analgesics acting through the α 2A -adrenergic receptor
Elissa A. Fink, Jun Xu, Harald Hübner, et al.
Science (2022) Vol. 377, Iss. 6614
Open Access | Times Cited: 89
New avenues in artificial-intelligence-assisted drug discovery
Carmen Cerchia, Antonio Lavecchia
Drug Discovery Today (2023) Vol. 28, Iss. 4, pp. 103516-103516
Open Access | Times Cited: 52
A practical guide to machine-learning scoring for structure-based virtual screening
Viet‐Khoa Tran‐Nguyen, Muhammad Junaid, Saw Simeon, et al.
Nature Protocols (2023) Vol. 18, Iss. 11, pp. 3460-3511
Closed Access | Times Cited: 37
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: 39
Structure-Based Discovery of Inhibitors of the SARS-CoV-2 Nsp14 N7-Methyltransferase
Isha Singh, Fengling Li, Elissa A. Fink, et al.
Journal of Medicinal Chemistry (2023) Vol. 66, Iss. 12, pp. 7785-7803
Open Access | Times Cited: 21
Structure-based virtual screening of vast chemical space as a starting point for drug discovery
Jens Carlsson, Andreas Luttens
Current Opinion in Structural Biology (2024) Vol. 87, pp. 102829-102829
Open Access | Times Cited: 8
The impact of library size and scale of testing on virtual screening
Fangyu Liu, Olivier Mailhot, Isabella Glenn, et al.
Nature Chemical Biology (2025)
Open Access
Development of Receptor Desolvation Scoring and Covalent Sampling in DOCK 6: Methods Evaluated on a RAS Test Set
Yu-Hong Tan, Mayukh Chakrabarti, Reed M. Stein, et al.
Journal of Chemical Information and Modeling (2025)
Open Access
Docking 14 million virtual isoquinuclidines against the mu and kappa opioid receptors reveals dual antagonists-inverse agonists with reduced withdrawal effects
Seth F. Vigneron, Shohei Ohno, João Braz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Recent progress on the prospective application of machine learning to structure-based virtual screening
Ghita Ghislat, Taufiq Rahman, Pedro J. Ballester
Current Opinion in Chemical Biology (2021) Vol. 65, pp. 28-34
Open Access | Times Cited: 47
Large library docking for novel SARS‐CoV‐2 main protease non‐covalent and covalent inhibitors
Elissa A. Fink, Conner Bardine, Stefan Gahbauer, et al.
Protein Science (2023) Vol. 32, Iss. 8
Open Access | Times Cited: 18
Modern machine‐learning for binding affinity estimation of protein–ligand complexes: Progress, opportunities, and challenges
Tobias Harren, Torben Gutermuth, Christoph Grebner, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 3
Closed Access | Times Cited: 5
Selecting machine-learning scoring functions for structure-based virtual screening
Pedro J. Ballester
Drug Discovery Today Technologies (2019) Vol. 32-33, pp. 81-87
Open Access | Times Cited: 46
Computational Modeling as a Tool to Investigate PPI: From Drug Design to Tissue Engineering
Juan J. Pérez, Román A. Pérez, Alberto Pérez
Frontiers in Molecular Biosciences (2021) Vol. 8
Open Access | Times Cited: 33
Prediction of Binding Free Energy of Protein–Ligand Complexes with a Hybrid Molecular Mechanics/Generalized Born Surface Area and Machine Learning Method
Lina Dong, Xiaoyang Qu, Yuan Zhao, et al.
ACS Omega (2021) Vol. 6, Iss. 48, pp. 32938-32947
Open Access | Times Cited: 31
Large-Scale Docking in the Cloud
Benjamin I. Tingle, John J. Irwin
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 9, pp. 2735-2741
Open Access | Times Cited: 13
Docking for EP4R antagonists active against inflammatory pain
Stefan Gahbauer, Chelsea DeLeon, João Braz, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Redocking the PDB
Florian Flachsenberg, Christiane Ehrt, Torben Gutermuth, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 1, pp. 219-237
Closed Access | Times Cited: 11
DockOpt: A Tool for Automatic Optimization of Docking Models
Ian Knight, Olivier Mailhot, Khanh Tang, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 1004-1016
Open Access | Times Cited: 3
Docking for Molecules That Bind in a Symmetric Stack with SymDOCK
Matthew S. Smith, Ian Knight, Rian Kormos, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 2, pp. 425-434
Open Access | Times Cited: 3
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