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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:

Novel machine learning models to predict endocrine disruption activity for high-throughput chemical screening
Sean P. Collins, Tara S. Barton‐Maclaren
Frontiers in Toxicology (2022) Vol. 4
Open Access | Times Cited: 9

Showing 9 citing articles:

Screening of the Antagonistic Activity of Potential Bisphenol A Alternatives toward the Androgen Receptor Using Machine Learning and Molecular Dynamics Simulation
Zeguo Yang, Ling Wang, Ying Yang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 6, pp. 2817-2829
Closed Access | Times Cited: 7
Development and application of consensus in silico models for advancing high-throughput toxicological predictions
Sean P. Collins, Brandon Mailloux, Sunil Kulkarni, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 6
Report on the European Partnership for Alternative Approaches to Animal Testing (EPAA) “New Approach Methodologies (NAMs) User Forum Kick-off Workshop”
Mark T.D. Cronin, Maria Teresa Baltazar, Tara S. Barton‐Maclaren, et al.
Regulatory Toxicology and Pharmacology (2025), pp. 105796-105796
Open Access
Advances in QSAR through artificial intelligence and machine learning methods
Chandrabose Selvaraj, Elakkiya Elango, Paulraj Prabhu, et al.
Elsevier eBooks (2023), pp. 101-116
Closed Access | Times Cited: 5
Overcoming barriers to machine learning applications in toxicity prediction
Abdallah Abou Hajal, Ahmad Z. Al Meslamani
Expert Opinion on Drug Metabolism & Toxicology (2023) Vol. 20, Iss. 7, pp. 549-553
Open Access | Times Cited: 5
The Role of Simulation Science in Public Health at the Agency for Toxic Substances and Disease Registry: An Overview and Analysis of the Last Decade
Saaketh Desai, J. Deanna Wilson, Chao Ji, et al.
Toxics (2024) Vol. 12, Iss. 11, pp. 811-811
Open Access | Times Cited: 1
Prediction of Endocrine-Disrupting Chemicals Related to Estrogen, Androgen, and Thyroid Hormone (EAT) Modalities Using Transcriptomics Data and Machine Learning
Guillaume Ollitrault, Marco Marzo, Alessandra Roncaglioni, et al.
Toxics (2024) Vol. 12, Iss. 8, pp. 541-541
Open Access
Binary Classification of the Endocrine Disrupting Chemicals by Artificial Neural Networks
Zahir Aghayev, George F. Walker, Funda Iseri, et al.
Computer-aided chemical engineering/Computer aided chemical engineering (2023), pp. 2631-2636
Open Access | Times Cited: 1
In Silico Prediction of Toxicological and Pharmacokinetic Characteristics of Medicinal Compounds
Pavel M. Vassiliev, Anna V. Golubeva, А.Р. Королева, et al.
Safety and Risk of Pharmacotherapy (2023) Vol. 11, Iss. 4, pp. 390-408
Open Access
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