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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:

Accelerating drug target inhibitor discovery with a deep generative foundation model
Vijil Chenthamarakshan, Samuel C. Hoffman, David Owen, et al.
Science Advances (2023) Vol. 9, Iss. 25
Open Access | Times Cited: 22

Showing 22 citing articles:

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
Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance
Angela Cesaro, Samuel C. Hoffman, Payel Das, et al.
npj Antimicrobials and Resistance (2025) Vol. 3, Iss. 1
Open Access | Times Cited: 7
The Physics-AI Dialogue in Drug Design
Pablo Andrés Vargas-Rosales, Amedeo Caflisch
RSC Medicinal Chemistry (2025)
Open Access | Times Cited: 1
Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model
Jike Wang, Jianwen Feng, Yu Kang, et al.
Science Advances (2025) Vol. 11, Iss. 10
Open Access | Times Cited: 1
The Promises and Perils of Foundation Models in Dermatology
Haiwen Gui, Jesutofunmi A. Omiye, Crystal Chang, et al.
Journal of Investigative Dermatology (2024) Vol. 144, Iss. 7, pp. 1440-1448
Closed Access | Times Cited: 8
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
Accelerating discovery of bioactive ligands with pharmacophore-informed generative models
Weixin Xie, Jianhang Zhang, Qin Xie, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
druglikeFilter 1.0: An AI powered filter for collectively measuring the drug-likeness of compounds
Minjie Mou, Yintao Zhang, Yuntao Qian, et al.
Journal of Pharmaceutical Analysis (2025), pp. 101298-101298
Open Access
Target-aware Molecule Generation for Drug Design Using a Chemical Language Model
Yingce Xia, Kehan Wu, Deng Pan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Recent advances from computer-aided drug design to artificial intelligence drug design
Keran Wang, Yanwen Huang, Yongxian Wang, et al.
RSC Medicinal Chemistry (2024) Vol. 15, Iss. 12, pp. 3978-4000
Closed Access | Times Cited: 3
AI-driven smart pharmacology
Li Xiao, Ying Zhang
Intelligent Pharmacy (2023) Vol. 1, Iss. 4, pp. 179-182
Open Access | Times Cited: 8
Identification of SARS-CoV-2 Mpro inhibitors through deep reinforcement learning for de novo drug design and computational chemistry approaches
Julien Hazemann, Thierry Kimmerlin, Roland Lange, et al.
RSC Medicinal Chemistry (2024) Vol. 15, Iss. 6, pp. 2146-2159
Open Access | Times Cited: 3
IUPHAR review – Data-driven computational drug repurposing approaches for opioid use disorder
Zhenxiang Gao, Pingjian Ding, Rong Xu
Pharmacological Research (2023) Vol. 199, pp. 106960-106960
Open Access | Times Cited: 6
Targeting the Main Protease (Mpro, nsp5) by Growth of Fragment Scaffolds Exploiting Structure-Based Methodologies
Nadide Altincekic, Nathalie Jores, Frank Löhr, et al.
ACS Chemical Biology (2024) Vol. 19, Iss. 2, pp. 563-574
Open Access | Times Cited: 1
How Deep Learning in Antiviral Molecular Profiling Identified Anti-SARS-CoV-2 Inhibitors
Mohamed A. Ali, In Ho Park, Junebeom Kim, et al.
Biomedicines (2023) Vol. 11, Iss. 12, pp. 3134-3134
Open Access | Times Cited: 2
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.
(2024)
Open Access
Digital Chemistry: Navigating the Confluence of Computation and Experimentation – Definition, Status Quo, and Future Perspective
Stefan Bräse
Digital Discovery (2024)
Open Access
Discovery of novel quinoline papain-like protease inhibitors for COVID-19 through topology constrained molecular generative model
Jinsai Shang, Ting Ran, Yongzhi Lu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Generative AI Disproportionately Harms Long Tail Users
Barani Maung Maung, Keegan McBride, Jason Lucas, et al.
Computer (2024) Vol. 57, Iss. 11, pp. 82-85
Closed Access
Deep learning-based design and screening of benzimidazole-pyrazine derivatives as adenosine A 2B receptor antagonists
Rui Qin, Hao Zhang, Weifeng Huang, et al.
Journal of Biomolecular Structure and Dynamics (2023), pp. 1-17
Closed Access | Times Cited: 1
Concerted deletions eliminate a neutralizing supersite in SARS-CoV-2 BA.2.87.1 spike
Helen M. E. Duyvesteyn, Aiste Dijokaite-Guraliuc, Chang Liu, et al.
Structure (2024) Vol. 32, Iss. 10, pp. 1594-1602.e6
Open Access
Large Language Model for Automating the Analysis of Cryoprotectants
Mariia S. Ashikhmina, Artemii M. Zenkin, Anastasia O. Ivanova, et al.
Journal of Chemical Information and Modeling (2024) Vol. 65, Iss. 1, pp. 162-172
Closed Access
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