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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 Structure-Based Drug Discovery Paradigm
Maria Batool, Sheikh Bilal Ahmad, Sangdun Choi
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 11, pp. 2783-2783
Open Access | Times Cited: 571

Showing 1-25 of 571 citing articles:

AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
Mihály Váradi, Stephen Anyango, Mandar Deshpande, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D439-D444
Open Access | Times Cited: 6095
Current trends in computer aided drug design and a highlight of drugs discovered via computational techniques: A review
Victor T. Sabe, Thandokuhle Ntombela, Lindiwe A. Jhamba, et al.
European Journal of Medicinal Chemistry (2021) Vol. 224, pp. 113705-113705
Closed Access | Times Cited: 445
In silico methods and tools for drug discovery
Bilal Shaker, Sajjad Ahmad, Jingyu Lee, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104851-104851
Closed Access | Times Cited: 381
Targeting RNA structures with small molecules
Jessica L. Childs‐Disney, Xueyi Yang, Quentin M. R. Gibaut, et al.
Nature Reviews Drug Discovery (2022) Vol. 21, Iss. 10, pp. 736-762
Open Access | Times Cited: 353
A review on machine learning approaches and trends in drug discovery
Paula Carracedo-Reboredo, José Liñares-Blanco, Nereida Rodríguez-Fernández, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 4538-4558
Open Access | Times Cited: 317
Highly Flexible Ligand Docking: Benchmarking of the DockThor Program on the LEADS-PEP Protein–Peptide Data Set
Karina B. Santos, Isabella Alvim Guedes, Ana L. M. Karl, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 2, pp. 667-683
Closed Access | Times Cited: 220
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor
Feng Ren, Xiao Ding, Min Zheng, et al.
Chemical Science (2023) Vol. 14, Iss. 6, pp. 1443-1452
Open Access | Times Cited: 188
An Updated Review of Computer‐Aided Drug Design and Its Application to COVID‐19
Arun Bahadur Gurung, M. Ajmal Ali, Joongku Lee, et al.
BioMed Research International (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 165
AlphaFold heralds a data-driven revolution in biology and medicine
Janet M. Thornton, Roman A. Laskowski, Neera Borkakoti
Nature Medicine (2021) Vol. 27, Iss. 10, pp. 1666-1669
Open Access | Times Cited: 152
AI in drug discovery and its clinical relevance
Rizwan Qureshi, Muhammad Irfan, Taimoor Muzaffar Gondal, et al.
Heliyon (2023) Vol. 9, Iss. 7, pp. e17575-e17575
Open Access | Times Cited: 148
Machine‐learning scoring functions for structure‐based virtual screening
Hongjian Li, Kam‐Heung Sze, Gang Lü, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2020) Vol. 11, Iss. 1
Closed Access | Times Cited: 142
Cryo-EM and antisense targeting of the 28-kDa frameshift stimulation element from the SARS-CoV-2 RNA genome
Kaiming Zhang, Ivan N. Zheludev, Rachel J. Hagey, et al.
Nature Structural & Molecular Biology (2021) Vol. 28, Iss. 9, pp. 747-754
Open Access | Times Cited: 139
Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning
Jike Wang, Chang‐Yu Hsieh, Mingyang Wang, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 10, pp. 914-922
Closed Access | Times Cited: 130
Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries
Chandrabose Selvaraj, Ishwar Chandra, Sanjeev Kumar Singh
Molecular Diversity (2021) Vol. 26, Iss. 3, pp. 1893-1913
Open Access | Times Cited: 126
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
Shuangli Li, Jingbo Zhou, Tong Xu, et al.
(2021), pp. 975-985
Open Access | Times Cited: 121
CADD, AI and ML in drug discovery: A comprehensive review
Divya Vemula, Perka Jayasurya, Varthiya Sushmitha, et al.
European Journal of Pharmaceutical Sciences (2022) Vol. 181, pp. 106324-106324
Open Access | Times Cited: 120
Drug Resistance in Nontuberculous Mycobacteria: Mechanisms and Models
Saloni Saxena, Herman P. Spaink, Gabriel Forn‐Cuní
Biology (2021) Vol. 10, Iss. 2, pp. 96-96
Open Access | Times Cited: 109
Exploring the Binding Mechanism of PF-07321332 SARS-CoV-2 Protease Inhibitor through Molecular Dynamics and Binding Free Energy Simulations
Sheikh Bilal Ahmad, Maria Batool, Quratul Ain, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 17, pp. 9124-9124
Open Access | Times Cited: 109
Deep learning tools for advancing drug discovery and development
Sagorika Nag, Anurag T. K. Baidya, Abhimanyu Mandal, et al.
3 Biotech (2022) Vol. 12, Iss. 5
Open Access | Times Cited: 106
Generative machine learning for de novo drug discovery: A systematic review
Dominic D. Martinelli
Computers in Biology and Medicine (2022) Vol. 145, pp. 105403-105403
Closed Access | Times Cited: 96
Structure-based drug repurposing: Traditional and advanced AI/ML-aided methods
Chinmayee Choudhury, N. Arul Murugan, U. Deva Priyakumar
Drug Discovery Today (2022) Vol. 27, Iss. 7, pp. 1847-1861
Open Access | Times Cited: 79
Application of Computational Biology and Artificial Intelligence in Drug Design
Yue Zhang, Mengqi Luo, Peng Wu, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 21, pp. 13568-13568
Open Access | Times Cited: 70
Opportunities and challenges in application of artificial intelligence in pharmacology
Mandeep Kumar, T. P. Nhung Nguyen, Jasleen Kaur, et al.
Pharmacological Reports (2023) Vol. 75, Iss. 1, pp. 3-18
Open Access | Times Cited: 44
Chai-1: Decoding the molecular interactions of life
Jacques Boitreaud, Jack Dent, Matt McPartlon, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 36
Artificial intelligence in healthcare delivery: Prospects and pitfalls
David B. Olawade, Aanuoluwapo Clement David-Olawade, Ojima Z. Wada, et al.
Journal of Medicine Surgery and Public Health (2024) Vol. 3, pp. 100108-100108
Open Access | Times Cited: 33
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