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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:

Exploration of Ultralarge Compound Collections for Drug Discovery
Wendy A. Warr, Marc C. Nicklaus, Christos A. Nicolaou, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 9, pp. 2021-2034
Closed Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

Computational approaches streamlining drug discovery
Anastasiia Sadybekov, Vsevolod Katritch
Nature (2023) Vol. 616, Iss. 7958, pp. 673-685
Open Access | Times Cited: 470
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: 98
Epik: pKa and Protonation State Prediction through Machine Learning
Ryne C. Johnston, Kun Yao, Zachary Kaplan, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 8, pp. 2380-2388
Closed Access | Times Cited: 95
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
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: 77
Thompson Sampling─An Efficient Method for Searching Ultralarge Synthesis on Demand Databases
Kathryn Klarich, Brian Goldman, Trevor Kramer, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 4, pp. 1158-1171
Open Access | Times Cited: 14
Chemical Multiverse: An Expanded View of Chemical Space
José L. Medina‐Franco, Ana L. Chávez‐Hernández, Edgar López‐López, et al.
Molecular Informatics (2022) Vol. 41, Iss. 11
Open Access | Times Cited: 49
Navigating large chemical spaces in early-phase drug discovery
Malte Korn, Christiane Ehrt, Fiorella Ruggiu, et al.
Current Opinion in Structural Biology (2023) Vol. 80, pp. 102578-102578
Open Access | Times Cited: 23
Fragment-to-Lead Medicinal Chemistry Publications in 2022
Andrew J. Woodhead, Daniel A. Erlanson, Iwan J. P. de Esch, et al.
Journal of Medicinal Chemistry (2024) Vol. 67, Iss. 4, pp. 2287-2304
Closed Access | Times Cited: 11
Active learning driven prioritisation of compounds from on-demand libraries targeting the SARS-CoV-2 main protease
Ben Cree, M. Bieniek, Siddique Amin, et al.
Digital Discovery (2025)
Open Access
Learning a CoNCISE language for small-molecule binding
Mert Erden, Kapil Devkota, Lia Varghese, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Active Learning to Select the Most Suitable Reagents and One-Step Organic Chemistry Reactions for Prioritizing Target-Specific Hits from Ultralarge Chemical Spaces
V. G. KOZYREV, François Sindt, Didier Rognan
Journal of Chemical Information and Modeling (2025)
Closed Access
Chemical space as a unifying theme for chemistry
Jean‐Louis Reymond
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Virtual screening: hope, hype, and the fine line in between
Hossam Nada, Nicholas A. Meanwell, Moustafa T. Gabr
Expert Opinion on Drug Discovery (2025)
Closed Access
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: 17
Industrializing AI/ML during the end-to-end drug discovery process
Jiho Yoo, Tae Yong Kim, InSuk Joung, et al.
Current Opinion in Structural Biology (2023) Vol. 79, pp. 102528-102528
Open Access | Times Cited: 15
Machine Learning-Boosted Docking Enables the Efficient Structure-Based Virtual Screening of Giga-Scale Enumerated Chemical Libraries
Toni Sivula, Laxman Yetukuri, Tuomo Kalliokoski, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 18, pp. 5773-5783
Open Access | Times Cited: 14
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: 5
Structure-Based Drug Design with a Deep Hierarchical Generative Model
Jesse A. Weller, Remo Rohs
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 16, pp. 6450-6463
Open Access | Times Cited: 4
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: 4
Targeting in silico GPCR conformations with ultra-large library screening for hit discovery
Davide Sala, Hossein Batebi, Kaitlyn Ledwitch, et al.
Trends in Pharmacological Sciences (2023) Vol. 44, Iss. 3, pp. 150-161
Open Access | Times Cited: 11
Streamlining Large Chemical Library Docking with Artificial Intelligence: the PyRMD2Dock Approach
Michele Roggia, Benito Natale, Giorgio Amendola, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2143-2149
Open Access | Times Cited: 11
Chemoinformatic approaches for navigating large chemical spaces
Martin Vogt
Expert Opinion on Drug Discovery (2024) Vol. 19, Iss. 4, pp. 403-414
Closed Access | Times Cited: 3
Shape-Aware Synthon Search (SASS) for Virtual Screening of Synthon-Based Chemical Spaces
Chen Cheng, Paul Beroza
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 4, pp. 1251-1260
Closed Access | Times Cited: 3
Protein Structure-Based Organic Chemistry-Driven Ligand Design from Ultralarge Chemical Spaces
François Sindt, Anthony Seyller, Merveille Eguida, et al.
ACS Central Science (2024) Vol. 10, Iss. 3, pp. 615-627
Open Access | Times Cited: 3
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