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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:

Prospective de novo drug design with deep interactome learning
Kenneth Atz, Leandro Cotos, Clemens Isert, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 22

Showing 22 citing articles:

Machine learning-aided generative molecular design
Yuanqi Du, Arian R. Jamasb, Jeff Guo, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 6, pp. 589-604
Closed Access | Times Cited: 18
Strategies to achieve efficiencies of over 19% for organic solar cells
Xingchi Xiao, Malika Chalh, Zhi Rong Loh, et al.
Cell Reports Physical Science (2025) Vol. 6, Iss. 1, pp. 102390-102390
Open Access
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
Deep learning: A game changer in drug design and development
Sushanta Kumar Das, Rahul Mishra, Amit Samanta, et al.
Advances in pharmacology (2025)
Closed Access
New strategies to enhance the efficiency and precision of drug discovery
Qi An, Liang Huang, Chuan Wang, et al.
Frontiers in Pharmacology (2025) Vol. 16
Open Access
The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges
Chiranjib Chakraborty, Manojit Bhattacharya, Sang‐Soo Lee, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 3, pp. 102295-102295
Open Access | Times Cited: 5
Simple User-Friendly Reaction Format
David F. Nippa, Alex T. Müller, Kenneth Atz, et al.
(2024)
Open Access | Times Cited: 3
An update on lipophilic efficiency as an important metric in drug design
Rebecca A. Gallego, Martin P. Edwards, T. Patrick Montgomery
Expert Opinion on Drug Discovery (2024) Vol. 19, Iss. 8, pp. 917-931
Closed Access | Times Cited: 3
Geometric deep learning-guided Suzuki reaction conditions assessment for applications in medicinal chemistry
Kenneth Atz, David F. Nippa, Alex T. Müller, et al.
RSC Medicinal Chemistry (2024) Vol. 15, Iss. 7, pp. 2310-2321
Closed Access | Times Cited: 1
Utilizing Omics Technologies and Machine Learning to Improve Predictive Toxicology
Ahrum Son, Jongham Park, Woojin Kim, et al.
(2024)
Open Access | Times Cited: 1
Automated design of multi-target ligands by generative deep learning
Laura Isigkeit, Tim Hörmann, Espen Schallmayer, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Revolutionizing Molecular Design for Innovative Therapeutic Applications through Artificial Intelligence
Ahrum Son, Jongham Park, Woojin Kim, et al.
Molecules (2024) Vol. 29, Iss. 19, pp. 4626-4626
Open Access | Times Cited: 1
Designed with interactome-based deep learning
Xueying Mao, Yanyi Chu, Dong‐Qing Wei
Nature Chemical Biology (2024) Vol. 20, Iss. 11, pp. 1399-1401
Closed Access | Times Cited: 1
Current Status of Computational Approaches for Small Molecule Drug Discovery
Weijun Xu
Journal of Medicinal Chemistry (2024) Vol. 67, Iss. 21, pp. 18633-18636
Open Access | Times Cited: 1
Novel drug discovery approaches for MMP-13 inhibitors in the treatment of osteoarthritis
Lixin Wang
Bioorganic & Medicinal Chemistry Letters (2024), pp. 130009-130009
Closed Access | Times Cited: 1
Recent Advances in Omics, Computational Models, and Advanced Screening Methods for Drug Safety and Efficacy
Areum Sohn, Jongham Park, Woojin Kim, et al.
Toxics (2024) Vol. 12, Iss. 11, pp. 822-822
Open Access | Times Cited: 1
Enhancing Drug Discovery and Development through the Integration of Medicinal Chemistry, Chemical Biology, and Academia-Industry Partnerships: Insights from Roche’s Endocannabinoid System Projects
Johannes D. Aebi, Kenneth Atz, Simon M. Ametamey, et al.
CHIMIA International Journal for Chemistry (2024) Vol. 78, Iss. 7-8, pp. 499-512
Open Access
“Novel chemo-enzymatic synthesis, structural elucidation and first antiprotozoal activity profiling of the atropoisomeric dimers of trans-8-Hydroxycalamenene”
Ivan Bassanini, Chiara Tognoli, Massimiliano Meli, et al.
Bioorganic Chemistry (2024) Vol. 153, pp. 107917-107917
Open Access
Artificial intelligence, medications, pharmacogenomics, and ethics
Susanne B. Haga
Pharmacogenomics (2024), pp. 1-12
Closed Access
A systematic review of deep learning chemical language models in recent era
Hector Flores-Hernandez, Emmanuel Martínez-Ledesma
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access
Combining de novo molecular design with semiempirical protein–ligand binding free energy calculation
Michael Iff, Kenneth Atz, Clemens Isert, et al.
RSC Advances (2024) Vol. 14, Iss. 50, pp. 37035-37044
Open Access
Protein Binding Site Representation in Latent Space
Frederieke Lohmann, Stephan Allenspach, Kenneth Atz, et al.
Molecular Informatics (2024)
Open Access
3D molecular generation models expand chemical space exploration in drug design
Yuting Xiang, Guang-Yi Huang, Xing-Xing Shi, et al.
Drug Discovery Today (2024), pp. 104282-104282
Closed Access
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