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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:

ZINC-22─A Free Multi-Billion-Scale Database of Tangible Compounds for Ligand Discovery
Benjamin I. Tingle, Khanh Tang, Mar Castanon, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 4, pp. 1166-1176
Open Access | Times Cited: 116

Showing 1-25 of 116 citing articles:

Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR
Alexander Tropsha, Olexandr Isayev, Alexandre Varnek, et al.
Nature Reviews Drug Discovery (2023) Vol. 23, Iss. 2, pp. 141-155
Closed Access | Times Cited: 112
Iterative computational design and crystallographic screening identifies potent inhibitors targeting the Nsp3 macrodomain of SARS-CoV-2
Stefan Gahbauer, G.J. Correy, M. Schuller, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 2
Open Access | Times Cited: 90
Artificial Intelligence for Drug Discovery: Are We There Yet?
Catrin Hasselgren, Tudor I. Oprea
The Annual Review of Pharmacology and Toxicology (2023) Vol. 64, Iss. 1, pp. 527-550
Open Access | Times Cited: 77
Machine learning in preclinical drug discovery
Denise B. Catacutan, Jeremie Alexander, Autumn Arnold, et al.
Nature Chemical Biology (2024) Vol. 20, Iss. 8, pp. 960-973
Closed Access | Times Cited: 41
Tribulations and future opportunities for artificial intelligence in precision medicine
Claudio Carini, Attila A. Seyhan
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 33
An artificial intelligence accelerated virtual screening platform for drug discovery
Guangfeng Zhou, Domnița-Valeria Rusnac, Hahnbeom Park, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 25
Artificial intelligence in drug development
Kang Zhang, Xin Yang, Yifei Wang, et al.
Nature Medicine (2025) Vol. 31, Iss. 1, pp. 45-59
Closed Access | Times Cited: 17
Advancing Ligand Docking through Deep Learning: Challenges and Prospects in Virtual Screening
Xujun Zhang, Chao Shen, Haotian Zhang, et al.
Accounts of Chemical Research (2024) Vol. 57, Iss. 10, pp. 1500-1509
Closed Access | Times Cited: 16
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: 16
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
Peptide-Aware Chemical Language Model Successfully Predicts Membrane Diffusion of Cyclic Peptides
Aaron L. Feller, Claus O. Wilke
Journal of Chemical Information and Modeling (2025)
Closed Access | Times Cited: 2
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: 23
Chemical space as a unifying theme for chemistry
Jean‐Louis Reymond
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access | Times Cited: 1
Assessment of the Efficiency of Selecting Promising Compounds During Virtual Screening Based on Various Estimations of Drug-Likeness
Vladislav S. Sukhachev, Alexander V. Dmitriev, Sergey M. Ivanov, et al.
Pharmaceutical Chemistry Journal (2025)
Closed Access | Times Cited: 1
Foundation models in bioinformatics
Fei Guo, Renchu Guan, Yaohang Li, et al.
National Science Review (2025)
Open Access | Times Cited: 1
Exploring chemical space for “druglike” small molecules in the age of AI
Aman Achuthan Kattuparambil, Dheeraj Kumar Chaurasia, Shashank Shekhar, et al.
Frontiers in Molecular Biosciences (2025) Vol. 12
Open Access | Times Cited: 1
Keeping pace with the explosive growth of chemical libraries with structure‐based virtual screening
Jacqueline Kuan, Mariia Radaeva, Adeline Avenido, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2023) Vol. 13, Iss. 6
Open Access | Times Cited: 19
PubChemQC B3LYP/6-31G*//PM6 Data Set: The Electronic Structures of 86 Million Molecules Using B3LYP/6-31G* Calculations
Maho Nakata, Toshiyuki Maeda
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 18, pp. 5734-5754
Open Access | Times Cited: 17
Impact of inhibition mechanisms, automation, and computational models on the discovery of organic corrosion inhibitors
David A. Winkler, A.E. Hughés, Can Özkan, et al.
Progress in Materials Science (2024), pp. 101392-101392
Open Access | Times Cited: 8
COATI: Multimodal Contrastive Pretraining for Representing and Traversing Chemical Space
Benjamin Kaufman, Edward C. Williams, Carl Underkoffler, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 4, pp. 1145-1157
Closed Access | Times Cited: 7
Emerging structure-based computational methods to screen the exploding accessible chemical space
Corentin Bedart, Conrad V. Simoben, Matthieu Schapira
Current Opinion in Structural Biology (2024) Vol. 86, pp. 102812-102812
Open Access | Times Cited: 7
Efficient clustering of large molecular libraries
Kenneth López Pérez, Vicky Jung, Lexin Chen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 7
Transformers for Molecular Property Prediction: Lessons Learned from the Past Five Years
A.R. Sultan, Jochen Sieg, Miriam Mathea, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 16, pp. 6259-6280
Open Access | Times Cited: 7
Large library docking identifies positive allosteric modulators of the calcium-sensing receptor
Fangyu Liu, Cheng-Guo Wu, Chia‐Ling Tu, et al.
Science (2024) Vol. 385, Iss. 6715
Closed Access | Times Cited: 7
Large Language Models as Molecular Design Engines
Debjyoti Bhattacharya, Harrison J. Cassady, Michael A. Hickner, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 18, pp. 7086-7096
Closed Access | Times Cited: 6
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