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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:

Machine Learning Models Identify New Inhibitors for Human OATP1B1
Thomas R. Lane, Fabio Urbina, Xiaohong Zhang, et al.
Molecular Pharmaceutics (2022) Vol. 19, Iss. 11, pp. 4320-4332
Open Access | Times Cited: 18

Showing 18 citing articles:

Cryo-EM structures of human organic anion transporting polypeptide OATP1B1
Ziyang Shan, Xuemei Yang, Huihui Liu, et al.
Cell Research (2023) Vol. 33, Iss. 12, pp. 940-951
Open Access | Times Cited: 34
Distinguishing Molecular Properties of OAT, OATP, and MRP Drug Substrates by Machine Learning
Anisha K. Nigam, Jeremiah D. Momper, Anupam Anand Ojha, et al.
Pharmaceutics (2024) Vol. 16, Iss. 5, pp. 592-592
Open Access | Times Cited: 5
Machine Learning Techniques Applied to the Study of Drug Transporters
Xiaorui Kong, Kexin Lin, Gaolei Wu, et al.
Molecules (2023) Vol. 28, Iss. 16, pp. 5936-5936
Open Access | Times Cited: 12
The Goldilocks paradigm: comparing classical machine learning, large language models, and few-shot learning for drug discovery applications
Scott Snyder, Patricia A. Vignaux, Mustafa Kemal Ozalp, et al.
Communications Chemistry (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 4
MONSTROUS: a web-based chemical-transporter interaction profiler
Mohamed Diwan M. AbdulHameed, Souvik Dey, Zhen Xu, et al.
Frontiers in Pharmacology (2025) Vol. 16
Open Access
Computational Approaches for Predicting Drug Interactions with Human Organic Anion Transporter 4 (OAT4)
Lucy J. Martínez-Guerrero, Patricia A. Vignaux, Joshua S. Harris, et al.
Molecular Pharmaceutics (2025)
Closed Access
Identification of acrylamide-based covalent inhibitors of SARS-CoV-2 (SCoV-2) Nsp15 using high-throughput screening and machine learning
Teena Bajaj, Babak Mosavati, Lydia H. Zhang, et al.
RSC Advances (2025) Vol. 15, Iss. 13, pp. 10243-10256
Open Access
Artificial intelligence to predict inhibitors of drug-metabolizing enzymes and transporters for safer drug design
Arnab Bhattacharjee, Ankur Kumar, Probir Kumar Ojha, et al.
Expert Opinion on Drug Discovery (2025), pp. 1-21
Closed Access
Predicting inhibitors of OATP1B1 via heterogeneous OATP-ligand interaction graph neural network (HOLIgraph)
Mehrsa Mardikoraem, Joelle Eaves, Theodore Belecciu, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Survey of Pharmaceutical Industry’s Best Practices around In Vitro Transporter Assessment and Implications for Drug Development: Considerations from the International Consortium for Innovation and Quality for Pharmaceutical Development Transporter Working Group
Helen Rollison, Pallabi Mitra, Hugues Chanteux, et al.
Drug Metabolism and Disposition (2024) Vol. 52, Iss. 7, pp. 582-596
Open Access | Times Cited: 3
Comparative analysis of machine learning algorithms for identifying cobalt contamination in soil using spectroscopy
Nana Zhou, Tao Hu, Mengting Wu, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 5, pp. 113328-113328
Closed Access | Times Cited: 3
Computational and artificial intelligence-based approaches for drug metabolism and transport prediction
Bálint Dudás, Maria A. Miteva
Trends in Pharmacological Sciences (2023) Vol. 45, Iss. 1, pp. 39-55
Closed Access | Times Cited: 8
The protein disulfide isomerase inhibitor 3-methyltoxoflavin inhibits Chikungunya virus
Ana C. Puhl, R.S. Fernandes, André S. Godoy, et al.
Bioorganic & Medicinal Chemistry (2023) Vol. 83, pp. 117239-117239
Open Access | Times Cited: 6
State-of-the-art Application of Artificial Intelligence to Transporter-centered Functional and Pharmaceutical Research
Jiayi Yin, Nanxin You, Fengcheng Li, et al.
Current Drug Metabolism (2023) Vol. 24, Iss. 3, pp. 162-174
Closed Access | Times Cited: 4
In Silico prediction of inhibitors for multiple transporters via machine learning methods
Hao Duan, Chaofeng Lou, Yaxin Gu, et al.
Molecular Informatics (2024) Vol. 43, Iss. 3
Closed Access | Times Cited: 1
Classification of arsenic contamination in soil across the EU by vis-NIR spectroscopy and machine learning
Tao Hu, Chongchong Qi, Mengting Wu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 134, pp. 104158-104158
Open Access | Times Cited: 1
Organic anion transporting polypeptides (OATPs/SLCOs): Pharmacology, toxicology, structure, and transport mechanisms
Bruno Hagenbuch, Bruno Stieger, Kaspar P. Locher
Pharmacological Reviews (2024) Vol. 77, Iss. 2, pp. 100023-100023
Closed Access | Times Cited: 1
Transporter Inhibition Profile for the Antivirals Tilorone, Quinacrine and Pyronaridine
Patricia A. Vignaux, Thomas R. Lane, Ana C. Puhl, et al.
ACS Omega (2023) Vol. 8, Iss. 13, pp. 12532-12537
Open Access | Times Cited: 2
Repurposing Lapatinib as a Triple Antagonist of Chemokine Receptors 3, 4 and 5
Thomas R. Lane, Ana C. Puhl, Patricia A. Vignaux, et al.
Molecular Pharmacology (2024) Vol. 107, Iss. 1, pp. 100010-100010
Closed Access
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