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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:

A multi-pronged approach targeting SARS-CoV-2 proteins using ultra-large virtual screening
Christoph Gorgulla, Krishna Mohan Das, Kendra E. Leigh, et al.
iScience (2021) Vol. 24, Iss. 2, pp. 102021-102021
Open Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

Computational approaches streamlining drug discovery
Anastasiia Sadybekov, Vsevolod Katritch
Nature (2023) Vol. 616, Iss. 7958, pp. 673-685
Open Access | Times Cited: 573
Efficient Exploration of Chemical Space with Docking and Deep Learning
Yang Ying, Kun Yao, Matthew P. Repasky, et al.
Journal of Chemical Theory and Computation (2021) Vol. 17, Iss. 11, pp. 7106-7119
Closed Access | Times Cited: 200
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: 188
Serine 477 plays a crucial role in the interaction of the SARS-CoV-2 spike protein with the human receptor ACE2
Amit Singh, Georg Steinkellner, Katharina Köchl, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 109
Molecular Docking: Principles, Advances, and Its Applications in Drug Discovery
Muhammed Tılahun Muhammed, Esin Aki
Letters in Drug Design & Discovery (2022) Vol. 21, Iss. 3, pp. 480-495
Closed Access | Times Cited: 94
GROMACS in the Cloud: A Global Supercomputer to Speed Up Alchemical Drug Design
Carsten Kutzner, Christian Kniep, Austin Cherian, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 7, pp. 1691-1711
Open Access | Times Cited: 92
Antiviral Drug Discovery for the Treatment of COVID-19 Infections
Teresa I. Ng, Ivan Correia, Jane Seagal, et al.
Viruses (2022) Vol. 14, Iss. 5, pp. 961-961
Open Access | Times Cited: 80
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 | Times Cited: 3
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: 91
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: 85
Chemical space docking enables large-scale structure-based virtual screening to discover ROCK1 kinase inhibitors
Paul Beroza, James J. Crawford, Oleg Ganichkin, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 69
Non-covalent SARS-CoV-2 Mpro inhibitors developed from in silico screen hits
Giacomo G. Rossetti, Marianna Ossorio, S. Rempel, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 60
When Virtual Screening Yields Inactive Drugs: Dealing with False Theoretical Friends
José P. Cerón‐Carrasco
ChemMedChem (2022) Vol. 17, Iss. 16
Open Access | Times Cited: 57
Speed vs Accuracy: Effect on Ligand Pose Accuracy of Varying Box Size and Exhaustiveness in AutoDock Vina
Rupesh Agarwal, Jeremy C. Smith
Molecular Informatics (2022) Vol. 42, Iss. 2
Open Access | Times Cited: 44
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: 41
Virtual Screening of a Chemically Diverse “Superscaffold” Library Enables Ligand Discovery for a Key GPCR Target
Katharina Grotsch, Anastasiia Sadybekov, Sydney Hiller, et al.
ACS Chemical Biology (2024) Vol. 19, Iss. 4, pp. 866-874
Closed Access | Times Cited: 11
Recent Advances in Clusteroluminescence
Zhaoyu Wang, Haoke Zhang, Siqi Li, et al.
Topics in Current Chemistry (2021) Vol. 379, Iss. 2
Closed Access | Times Cited: 47
A review on structural, non-structural, and accessory proteins of SARS-CoV-2: Highlighting drug target sites
Md. Jahirul Islam, Nafisa Nawal Islam, Md. Siddik Alom, et al.
Immunobiology (2022) Vol. 228, Iss. 1, pp. 152302-152302
Open Access | Times Cited: 35
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
Medicinal chemistry strategies towards the development of non-covalent SARS-CoV-2 Mpro inhibitors
Letian Song, Shenghua Gao, Bing Ye, et al.
Acta Pharmaceutica Sinica B (2023) Vol. 14, Iss. 1, pp. 87-109
Open Access | Times Cited: 20
AI-accelerated protein-ligand docking for SARS-CoV-2 is 100-fold faster with no significant change in detection
Austin Clyde, Xuefeng Liu, Thomas Brettin, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 18
Large-Scale Pretraining Improves Sample Efficiency of Active Learning-Based Virtual Screening
Zhonglin Cao, Simone Sciabola, Ye Wang
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 6, pp. 1882-1891
Closed Access | Times Cited: 8
AI-guided pipeline for protein–protein interaction drug discovery identifies a SARS-CoV-2 inhibitor
Philipp Trepte, Christopher Secker, Julien Olivet, et al.
Molecular Systems Biology (2024) Vol. 20, Iss. 4, pp. 428-457
Open Access | Times Cited: 7
Relevance of Peroxisome Proliferator Activated Receptors in Multitarget Paradigm Associated with the Endocannabinoid System
Ana Lago-Fernandez, Sara Zarzo-Arias, Nadine Jagerovic, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 3, pp. 1001-1001
Open Access | Times Cited: 38
High-resolution structures of the SARS-CoV-2 N7-methyltransferase inform therapeutic development
Jithesh Kottur, Olga Rechkoblit, Richard Quintana‐Feliciano, et al.
Nature Structural & Molecular Biology (2022) Vol. 29, Iss. 9, pp. 850-853
Open Access | Times Cited: 24
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