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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 1-25 of 219 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
Artificial intelligence in drug discovery: recent advances and future perspectives
José Jiménez-Luna, Francesca Grisoni, Nils Weskamp, et al.
Expert Opinion on Drug Discovery (2021) Vol. 16, Iss. 9, pp. 949-959
Open Access | Times Cited: 274
A review of molecular representation in the age of machine learning
Daniel Wigh, Jonathan M. Goodman, Alexei A. Lapkin
Wiley Interdisciplinary Reviews Computational Molecular Science (2022) Vol. 12, Iss. 5
Open Access | Times Cited: 176
Artificial Intelligence in Chemistry: Current Trends and Future Directions
Zachary J. Baum, Xiang Yu, Philippe Y. Ayala, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 7, pp. 3197-3212
Closed Access | Times Cited: 163
Deep Learning in Virtual Screening: Recent Applications and Developments
Talia B. Kimber, Yonghui Chen, Andrea Volkamer
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 9, pp. 4435-4435
Open Access | Times Cited: 154
Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 2: a discussion of chemical and biological data
Andreas Bender, Isidro Cortés‐Ciriano
Drug Discovery Today (2021) Vol. 26, Iss. 4, pp. 1040-1052
Open Access | Times Cited: 127
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: 124
Deep generative molecular design reshapes drug discovery
Xiangxiang Zeng, Fei Wang, Yuan Luo, et al.
Cell Reports Medicine (2022) Vol. 3, Iss. 12, pp. 100794-100794
Open Access | Times Cited: 120
Artificial intelligence for natural product drug discovery
Michael W. Mullowney, Katherine Duncan, Somayah S. Elsayed, et al.
Nature Reviews Drug Discovery (2023) Vol. 22, Iss. 11, pp. 895-916
Closed Access | Times Cited: 117
Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm
Gokul Krishnan, Shiana Singh, Monika Pathania, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 104
Attention is all you need: utilizing attention in AI-enabled drug discovery
Yang Zhang, Caiqi Liu, Mujiexin Liu, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 102
AI-based language models powering drug discovery and development
Zhichao Liu, Ruth Roberts, Madhu Lal‐Nag, et al.
Drug Discovery Today (2021) Vol. 26, Iss. 11, pp. 2593-2607
Open Access | Times Cited: 98
Artificial intelligence in drug discovery: applications and techniques
Jianyuan Deng, Zhibo Yang, Iwao Ojima, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 98
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: 98
Evaluation guidelines for machine learning tools in the chemical sciences
Andreas Bender, Nadine Schneider, Marwin Segler, et al.
Nature Reviews Chemistry (2022) Vol. 6, Iss. 6, pp. 428-442
Closed Access | Times Cited: 96
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: 82
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: 64
Drug discovery and development: introduction to the general public and patient groups
Natesh Singh, Philippe Vayer, Shivalika Tanwar, et al.
Frontiers in Drug Discovery (2023) Vol. 3
Open Access | Times Cited: 57
Is Target-Based Drug Discovery Efficient? Discovery and “Off-Target” Mechanisms of All Drugs
Arash Sadri
Journal of Medicinal Chemistry (2023) Vol. 66, Iss. 18, pp. 12651-12677
Closed Access | Times Cited: 57
A systematic study of key elements underlying molecular property prediction
Jianyuan Deng, Zhibo Yang, Hehe Wang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 56
Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review
Rizwan Qureshi, Muhammad Irfan, Hazrat Ali, et al.
IEEE Access (2023) Vol. 11, pp. 61600-61620
Open Access | Times Cited: 52
Discovery of senolytics using machine learning
Vanessa Smer-Barreto, Andrea Quintanilla, Richard Elliott, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 44
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
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: 21
Generative artificial intelligence in drug discovery: basic framework, recent advances, challenges, and opportunities
Amit Gangwal, M. Azim Ansari, Iqrar Ahmad, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 17
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