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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:

Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 1: Ways to make an impact, and why we are not there yet
Andreas Bender, Isidro Cortés‐Ciriano
Drug Discovery Today (2020) Vol. 26, Iss. 2, pp. 511-524
Open Access | Times Cited: 219

Showing 26-50 of 219 citing articles:

Augmenting DMTA using predictive AI modelling at AstraZeneca
Gian Marco Ghiandoni, Emma Evertsson, D. Riley, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 4, pp. 103945-103945
Open Access | Times Cited: 13
Enhancing preclinical drug discovery with artificial intelligence
Ramachandran Vijayan, Jan Kihlberg, Jason B. Cross, et al.
Drug Discovery Today (2021) Vol. 27, Iss. 4, pp. 967-984
Open Access | Times Cited: 95
The Time and Place for Nature in Drug Discovery
Robert J. Young, Sabine L. Flitsch, Michael Grigalunas, et al.
JACS Au (2022) Vol. 2, Iss. 11, pp. 2400-2416
Open Access | Times Cited: 62
Integrating cell morphology with gene expression and chemical structure to aid mitochondrial toxicity detection
Srijit Seal, Jordi Carreras‐Puigvert, Maria‐Anna Trapotsi, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 61
Predictive validity in drug discovery: what it is, why it matters and how to improve it
Jack W. Scannell, Jim Bosley, John A. Hickman, et al.
Nature Reviews Drug Discovery (2022) Vol. 21, Iss. 12, pp. 915-931
Open Access | Times Cited: 60
Critical assessment of AI in drug discovery
W. Patrick Walters, Regina Barzilay
Expert Opinion on Drug Discovery (2021) Vol. 16, Iss. 9, pp. 937-947
Closed Access | Times Cited: 57
LibINVENT: Reaction-based Generative Scaffold Decoration for in Silico Library Design
Vendy Fialková, Jiaxi Zhao, Kostas Papadopoulos, et al.
Journal of Chemical Information and Modeling (2021) Vol. 62, Iss. 9, pp. 2046-2063
Open Access | Times Cited: 55
DOCKSTRING: Easy Molecular Docking Yields Better Benchmarks for Ligand Design
Miguel García-Ortegón, Gregor N. C. Simm, Austin Tripp, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 15, pp. 3486-3502
Open Access | Times Cited: 51
Prediction of In Vivo Pharmacokinetic Parameters and Time–Exposure Curves in Rats Using Machine Learning from the Chemical Structure
Olga Obrezanova, Anton Martinsson, Thomas M. Whitehead, et al.
Molecular Pharmaceutics (2022) Vol. 19, Iss. 5, pp. 1488-1504
Open Access | Times Cited: 46
Yes SIR! On the structure–inactivity relationships in drug discovery
Edgar López‐López, Eli Fernández‐de Gortari, José L. Medina‐Franco
Drug Discovery Today (2022) Vol. 27, Iss. 8, pp. 2353-2362
Closed Access | Times Cited: 37
Artificial intelligence as a smart approach to develop antimicrobial drug molecules: A paradigm to combat drug-resistant infections
Absar Talat, Asad U. Khan
Drug Discovery Today (2023) Vol. 28, Iss. 4, pp. 103491-103491
Closed Access | Times Cited: 36
Artificial intelligence revolutionizing drug development: Exploring opportunities and challenges
Prafulla Tiwari, Rishi Pal, Manju J. Chaudhary, et al.
Drug Development Research (2023) Vol. 84, Iss. 8, pp. 1652-1663
Closed Access | Times Cited: 33
Computer-aided drug design in anti-cancer drug discovery: What have we learnt and what is the way forward?
Opeyemi Iwaloye, Paul Olamide Ottu, Femi Olawale, et al.
Informatics in Medicine Unlocked (2023) Vol. 41, pp. 101332-101332
Open Access | Times Cited: 31
Importance of tautomerism in drugs
Prasad V. Bharatam, Omkar Rajendra Valanju, Aabid A. Wani, et al.
Drug Discovery Today (2023) Vol. 28, Iss. 4, pp. 103494-103494
Closed Access | Times Cited: 28
Artificial Intelligence in Drug Discovery and Development
Kit‐Kay Mak, Yi-Hang Wong, Mallikarjuna Rao Pichika
Springer eBooks (2023), pp. 1-38
Closed Access | Times Cited: 26
Federated learning for molecular discovery
Thierry Hanser
Current Opinion in Structural Biology (2023) Vol. 79, pp. 102545-102545
Open Access | Times Cited: 21
Relative molecule self-attention transformer
Łukasz Maziarka, Dawid Majchrowski, Tomasz Danel, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 11
Advancing drug discovery with deep attention neural networks
Antonio Lavecchia
Drug Discovery Today (2024) Vol. 29, Iss. 8, pp. 104067-104067
Open Access | Times Cited: 9
Predictive Modelling in pharmacokinetics: from in-silico simulations to personalized medicine
Ajita Paliwal, Smita Jain, Sachin Kumar, et al.
Expert Opinion on Drug Metabolism & Toxicology (2024) Vol. 20, Iss. 4, pp. 181-195
Closed Access | Times Cited: 7
Transform Drug Discovery and Development With Generative Artificial Intelligence
Antonio Lavecchia
(2025), pp. 489-537
Closed Access
HIV OctaScanner: A Machine Learning Approach to Unveil Proteolytic Cleavage Dynamics in HIV-1 Protease Substrates
Kashif Iqbal Sahibzada, Syed Muhammad Shahid, Mohsina Akhter, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
AI-Driven Discovery
Pritam Roy, Dhananjoy Datta
IGI Global eBooks (2025), pp. 29-52
Closed Access
Computational analyses of mechanism of action (MoA): data, methods and integration
Maria‐Anna Trapotsi, Layla Hosseini-Gerami, Andreas Bender
RSC Chemical Biology (2021) Vol. 3, Iss. 2, pp. 170-200
Open Access | Times Cited: 48
AI in drug development: a multidisciplinary perspective
Víctor Gallego, Roi Naveiro, Carlos Roca, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1461-1479
Open Access | Times Cited: 42
Grand Challenges of Computer-Aided Drug Design: The Road Ahead
José L. Medina‐Franco
Frontiers in Drug Discovery (2021) Vol. 1
Open Access | Times Cited: 40

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