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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:

AI/ML Models to Predict the Severity of Drug-Induced Liver Injury for Small Molecules
Mohan Rao, Vahid Nassiri, Cristóbal Alhambra, et al.
Chemical Research in Toxicology (2023) Vol. 36, Iss. 7, pp. 1129-1139
Closed Access | Times Cited: 19

Showing 19 citing articles:

Application of artificial intelligence and machine learning in early detection of adverse drug reactions (ADRs) and drug-induced toxicity
Siyun Yang, Supratik Kar
Artificial Intelligence Chemistry (2023) Vol. 1, Iss. 2, pp. 100011-100011
Open Access | Times Cited: 47
Advancing Drug Safety in Drug Development: Bridging Computational Predictions for Enhanced Toxicity Prediction
Ana M. B. Amorim, Luiz F. Piochi, Ana Teresa Gaspar, et al.
Chemical Research in Toxicology (2024) Vol. 37, Iss. 6, pp. 827-849
Open Access | Times Cited: 14
Computational models for predicting liver toxicity in the deep learning era
Fahad Mostafa, Minjun Chen
Frontiers in Toxicology (2024) Vol. 5
Open Access | Times Cited: 10
Improved Detection of Drug-Induced Liver Injury by Integrating Predicted In Vivo and In Vitro Data
Srijit Seal, Dominic P. Williams, Layla Hosseini-Gerami, et al.
Chemical Research in Toxicology (2024) Vol. 37, Iss. 8, pp. 1290-1305
Open Access | Times Cited: 10
Drug Induced Liver Injury: Highlights and Controversies in the 2023 Literature
Harjit Singh, Bryce Kunkle, Angela Troia, et al.
Drug Safety (2025)
Closed Access | Times Cited: 1
Improved Detection of Drug-Induced Liver Injury by Integrating Predictedin vivoandin vitroData
Srijit Seal, Dominic P. Williams, Layla Hosseini-Gerami, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Multi-tissue metabolomics analysis reveals susceptible factors for chemotherapy-induced hepatotoxicity in colorectal cancer patients
Huilin Xu, Mingming Li, Houshan Yao, et al.
Frontiers in Pharmacology (2025) Vol. 16
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
Prediction of Drug‐Induced Liver Injury: From Molecular Physicochemical Properties and Scaffold Architectures to Machine Learning Approaches
Yulong Zhao, Zhoudong Zhang, Xiaotian Kong, et al.
Chemical Biology & Drug Design (2024) Vol. 104, Iss. 2
Open Access | Times Cited: 3
In silico ADME/tox comes of age: twenty years later
Sean Ekins, Thomas R. Lane, Fabio Urbina, et al.
Xenobiotica (2023) Vol. 54, Iss. 7, pp. 352-358
Closed Access | Times Cited: 7
Introduction to the Special Issue: AI Meets Toxicology
Günter Klambauer, Djork-Arné Clevert, Imran Shah, et al.
Chemical Research in Toxicology (2023) Vol. 36, Iss. 8, pp. 1163-1167
Closed Access | Times Cited: 7
Can Machine Learning Overcome the 95% Failure Rate and Reality that Only 30% of Approved Cancer Drugs Meaningfully Extend Patient Survival?
Duxin Sun, Christian Macedonia, Zhigang Chen, et al.
Journal of Medicinal Chemistry (2024)
Closed Access | Times Cited: 2
Roadmap to DILI research in Europe. A proposal from COST action ProEuroDILINet
Mi Lucena, Marina Villanueva-Paz, Ismael Álvarez‐Álvarez, et al.
Pharmacological Research (2023) Vol. 200, pp. 107046-107046
Open Access | Times Cited: 4
Safety Implications of Modulating Nuclear Receptors: A Comprehensive Analysis from Non-Clinical and Clinical Perspectives
Mohan Rao, Eric McDuffie, Sanjay Srivastava, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 7, pp. 875-875
Open Access | Times Cited: 1
Artificial Intelligence and Machine Learning Models for Predicting Drug-Induced Kidney Injury in Small Molecules
Mohan Rao, Vahid Nassiri, Sanjay Srivastava, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 11, pp. 1550-1550
Open Access | Times Cited: 1
Artificial intelligence-driven prediction and validation of blood-brain barrier permeability and absorption, distribution, metabolism, excretion profiles in Natural Product Research Laboratory compounds
Jai‐Sing Yang, E.P. Huang, Ken Ying-Kai Liao, et al.
Biomedicine (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 1
Deep Learning Prediction of Drug-Induced Liver Toxicity by Manifold Embedding of Quantum Information of Drug Molecules
Tonglei Li, J. Li, Hongyi Jiang, et al.
Pharmaceutical Research (2024)
Closed Access | Times Cited: 1
Prediction of Drug-Induced Liver Injury: From Molecular Physicochemical Properties and Scaffold Architectures to Machine Learning Approaches
Yulong Zhao, Zhoudong Zhang, Kai Wang, et al.
Research Square (Research Square) (2024)
Open Access
Avances en modelos in silico para el descubrimiento rápido de fármacos: transformando la farmacología computacional
Kimberly Zamira León Fiallos, Bryan Omar Zurita Sánchez
AlfaPublicaciones (2024) Vol. 6, Iss. 2, pp. 127-151
Open Access
WITHDRAWN: The Molecular Signature Associated with Oxaliplatin Induced Peripheral Neuropathy in Colorectal Cancer
Suneeta Modekurty
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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