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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:

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: 34

Showing 1-25 of 34 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: 103
Advancing Computational Toxicology by Interpretable Machine Learning
Xuelian Jia, Tong Wang, Hao Zhu
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 17690-17706
Open Access | Times Cited: 48
Role of Artificial Intelligence in Revolutionizing Drug Discovery
Ashfaq Ur Rehman, Mingyu Li, Binjian Wu, et al.
Fundamental Research (2024)
Open Access | Times Cited: 24
Acute oral toxicity and safety assessment of Morus alba L. (Moraceae) methanol fruit extract in mice
Parul Sood, Richa Shri, Varinder Singh, et al.
Italian Journal of Food Science (2024) Vol. 36, Iss. 3, pp. 11-19
Open Access | Times Cited: 12
A review of in silico toxicology approaches to support the safety assessment of cosmetics-related materials
Mark T.D. Cronin, Steven J. Enoch, Judith C. Madden, et al.
Computational Toxicology (2022) Vol. 21, pp. 100213-100213
Open Access | Times Cited: 32
Current status and future directions for a neurotoxicity hazard assessment framework that integrates in silico approaches
Kevin M. Crofton, Arianna Bassan, Mamta Behl, et al.
Computational Toxicology (2022) Vol. 22, pp. 100223-100223
Open Access | Times Cited: 28
Developing a pragmatic consensus procedure supporting the ICH S1B(R1) weight of evidence carcinogenicity assessment
Arianna Bassan, Ronald W. Steigerwalt, Douglas A. Keller, et al.
Frontiers in Toxicology (2024) Vol. 6
Open Access | Times Cited: 5
The database makes the poison: How the selection of datasets in QSAR models impacts toxicant prediction of higher tier endpoints
Lyle D. Burgoon, Felix M. Kluxen, A. Hüser, et al.
Regulatory Toxicology and Pharmacology (2024) Vol. 151, pp. 105663-105663
Open Access | Times Cited: 5
In silico approaches in organ toxicity hazard assessment: Current status and future needs for predicting heart, kidney and lung toxicities
Arianna Bassan, Vinícius M. Alves, Alexander Amberg, et al.
Computational Toxicology (2021) Vol. 20, pp. 100188-100188
Open Access | Times Cited: 31
In-silico study for the identification of potential destabilizers between the spike protein of SARS-CoV-2 and human ACE-2
Jeffry Medina-Barandica, Neyder Contreras‐Puentes, Arnulfo Tarón-Dunoyer, et al.
Informatics in Medicine Unlocked (2023) Vol. 40, pp. 101278-101278
Open Access | Times Cited: 11
Advancing hepatotoxicity assessment: current advances and future directions
Yewon Kim, Ho Jin Kim, Yohan Kim
Toxicological Research (2025)
Open Access
The role of computational toxicology in drug discovery
Chris Barber, Adrian Fowkes
Elsevier eBooks (2025)
Closed Access
Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World
Srijit Seal, Manas Mahale, Miguel García-Ortegón, et al.
Chemical Research in Toxicology (2025)
Open Access
iSKIN: Integrated application of machine learning and Mondrian conformal prediction to detect skin sensitizers in cosmetic raw materials
Weikaixin Kong, Jie Zhu, Peipei Shan, et al.
SmartMat (2024)
Open Access | Times Cited: 3
Evaluation of QSAR models for tissue-specific predictive toxicology and risk assessment of military-relevant chemical exposures: A systematic review
Jennifer L. Fisher, Kelly T. Williams, L.J. Schneider, et al.
Computational Toxicology (2024), pp. 100329-100329
Closed Access | Times Cited: 3
Principles and procedures for assessment of acute toxicity incorporating in silico methods
Craig Zwickl, Jessica Graham, Robert A. Jolly, et al.
Computational Toxicology (2022) Vol. 24, pp. 100237-100237
Open Access | Times Cited: 11
Prediction of inotropic effect based on calcium transients in human iPSC-derived cardiomyocytes and machine learning
Hongbin Yang, Olga Obrezanova, Amy Pointon, et al.
Toxicology and Applied Pharmacology (2022) Vol. 459, pp. 116342-116342
Open Access | Times Cited: 9
Understanding and overcoming the technical challenges in using in silico predictions in regulatory decisions of complex toxicological endpoints – A pesticide perspective for regulatory toxicologists with a focus on machine learning models
Lyle D. Burgoon, Felix M. Kluxen, Markus Frericks
Regulatory Toxicology and Pharmacology (2022) Vol. 137, pp. 105311-105311
Open Access | Times Cited: 9
CORAL Models for Drug-Induced Nephrotoxicity
Andrey A. Toropov, Devon Barnes, Alla P. Toropova, et al.
Toxics (2023) Vol. 11, Iss. 4, pp. 293-293
Open Access | Times Cited: 5
Increasing the acceptance of in silico toxicology through development of protocols and position papers
Glenn J. Myatt, Arianna Bassan, Dave Bower, et al.
Computational Toxicology (2021) Vol. 21, pp. 100209-100209
Closed Access | Times Cited: 11
Machine Learning to Predict Drug-Induced Liver Injury and Its Validation on Failed Drug Candidates in Development
Fahad Mostafa, Victoria E. Howle, Minjun Chen
Toxics (2024) Vol. 12, Iss. 6, pp. 385-385
Open Access | Times Cited: 1
Repurpose Macelignan as a Potential Drug candidate for Alzheimer’s disease: In-Silico Study
Rezina Pradhan, Asmita Shrestha, Siddha Raj Upadhyaya, et al.
(2024)
Closed Access | Times Cited: 1
Computational assessment of the toxicological profiles of various chemicals to which humans are exposed. A review
Daniela Dascălu, Alecu Ciorsac, Adriana Isvoran
Analele Universităţii "Ovidius" Constanţa. Seria Chimie/"Ovidius" University Annals of Chemistry (2024) Vol. 35, Iss. 2, pp. 83-90
Closed Access | Times Cited: 1
Railway Defect Detection Method: A Review
Shu Ing Doh, J. Li
CONSTRUCTION (2022) Vol. 2, Iss. 2, pp. 22-30
Open Access | Times Cited: 3
Machine Learning to Predict Drug-Induced Liver Injury and its Validation on Failed Drug Candidates in Development
Fahad Mostafa, Victoria E. Howle, Minjun Chen
Research Square (Research Square) (2024)
Open Access
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