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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:

Development of a Battery of In Silico Prediction Tools for Drug-Induced Liver Injury from the Vantage Point of Translational Safety Assessment
James F. Rathman, Chihae Yang, J.V. Ribeiro, et al.
Chemical Research in Toxicology (2020) Vol. 34, Iss. 2, pp. 601-615
Closed Access | Times Cited: 13

Showing 13 citing articles:

Artificial Intelligence in Drug Toxicity Prediction: Recent Advances, Challenges, and Future Perspectives
Thi Tuyet Van Tran, Agung Surya Wibowo, Hilal Tayara, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 9, pp. 2628-2643
Closed Access | Times Cited: 110
Artificial Intelligence-Based Toxicity Prediction of Environmental Chemicals: Future Directions for Chemical Management Applications
Jaeseong Jeong, Jinhee Choi
Environmental Science & Technology (2022) Vol. 56, Iss. 12, pp. 7532-7543
Closed Access | Times Cited: 82
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
Evaluating the synergistic use of advanced liver models and AI for the prediction of drug-induced liver injury
Yitian Zhou, Yi Zhong, Volker M. Lauschke
Expert Opinion on Drug Metabolism & Toxicology (2025), pp. 1-15
Closed Access | Times Cited: 1
Application of ToxCast/Tox21 data for toxicity mechanism-based evaluation and prioritization of environmental chemicals: Perspective and limitations
Jaeseong Jeong, Donghyeon Kim, Jinhee Choi
Toxicology in Vitro (2022) Vol. 84, pp. 105451-105451
Closed Access | Times Cited: 37
In silico approaches in organ toxicity hazard assessment: Current status and future needs in predicting liver toxicity
Arianna Bassan, Vinícius M. Alves, Alexander Amberg, et al.
Computational Toxicology (2021) Vol. 20, pp. 100187-100187
Open Access | Times Cited: 37
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: 5
The role of a molecular informatics platform to support next generation risk assessment
Chihae Yang, James F. Rathman, Bruno Bienfait, et al.
Computational Toxicology (2023) Vol. 26, pp. 100272-100272
Open Access | Times Cited: 9
High Throughput Read-Across for Screening a Large Inventory of Related Structures by Balancing Artificial Intelligence/Machine Learning and Human Knowledge
Chihae Yang, James F. Rathman, Aleksandra Mostrąg, et al.
Chemical Research in Toxicology (2023) Vol. 36, Iss. 7, pp. 1081-1106
Closed Access | Times Cited: 9
Introduction to Special Issue: Computational Toxicology
Nicole Kleinstreuer, Igor V. Tetko, Weida Tong
Chemical Research in Toxicology (2021) Vol. 34, Iss. 2, pp. 171-175
Open Access | Times Cited: 19
Molecular designing of potential environmentally friendly PFAS based on deep learning and generative models
Ying Yang, Zeguo Yang, Xudi Pang, et al.
The Science of The Total Environment (2024) Vol. 953, pp. 176095-176095
Closed Access | Times Cited: 1
A Robust, Mechanistically Based In Silico Structural Profiler for Hepatic Cholestasis
James W. Firman, Cynthia B. Pestana, James F. Rathman, et al.
Chemical Research in Toxicology (2020) Vol. 34, Iss. 2, pp. 641-655
Open Access | Times Cited: 6
Construction of an In Silico Structural Profiling Tool Facilitating Mechanistically Grounded Classification of Aquatic Toxicants
James W. Firman, David J. Ebbrell, Franklin J. Bauer, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 24, pp. 17805-17814
Open Access | Times Cited: 2
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