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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:

Making in silico predictive models for toxicology FAIR
Mark T.D. Cronin, Samuel J. Belfield, Katharine Briggs, et al.
Regulatory Toxicology and Pharmacology (2023) Vol. 140, pp. 105385-105385
Open Access | Times Cited: 17

Showing 17 citing articles:

Transformers enable accurate prediction of acute and chronic chemical toxicity in aquatic organisms
Mikael Gustavsson, Styrbjörn Käll, Patrik Svedberg, et al.
Science Advances (2024) Vol. 10, Iss. 10
Open Access | Times Cited: 19
Human biomonitoring and toxicokinetics as key building blocks for next generation risk assessment
Elena Reale, Maryam Zare Jeddi, Alicia Paini, et al.
Environment International (2024) Vol. 184, pp. 108474-108474
Open Access | Times Cited: 12
The FAIR Principles as a Key Enabler to Operationalize Safe and Sustainable by Design Approaches
Achilleas Karakoltzidis, Chiara Laura Battistelli, Cecilia Bossa, et al.
RSC Sustainability (2024) Vol. 2, Iss. 11, pp. 3464-3477
Open Access | Times Cited: 6
Read-across-based intelligent learning: development of a global q-RASAR model for the efficient quantitative predictions of skin sensitization potential of diverse organic chemicals
Arkaprava Banerjee, Kunal Roy
Environmental Science Processes & Impacts (2023) Vol. 25, Iss. 10, pp. 1626-1644
Closed Access | Times Cited: 16
The TOXIN knowledge graph: supporting animal-free risk assessment of cosmetics
Sara Sepehri, Anja Heymans, Dinja De Win, et al.
Database (2025) Vol. 2025
Open Access
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
Machine learning-based prediction of fish acute mortality: implementation, interpretation, and regulatory relevance
Lilian Gasser, Christoph Schür, Fernando Pérez‐Cruz, et al.
Environmental Science Advances (2024) Vol. 3, Iss. 8, pp. 1124-1138
Open Access | Times Cited: 2
Making PBPK models more reproducible in practice
Elena Domínguez-Romero, Stanislav Mazurenko, Martin Scheringer, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 2
Systems for Genetic Assessment of the Impact of Environmental Factors
Sergey Kislyak, О. М. Дуган, Olena Yalovenko
Innovative Biosystems and Bioengineering (2024) Vol. 8, Iss. 2, pp. 3-27
Open Access | Times Cited: 1
FAIR environmental and health registry (FAIREHR)- supporting the science to policy interface and life science research, development and innovation
Maryam Zare Jeddi, Karen S. Galea, Susana Viegas, et al.
Frontiers in Toxicology (2023) Vol. 5
Open Access | Times Cited: 3
Read-Across and Quantitative Structure–Activity Relationships (QSAR) for Making Predictions and Data Gap-Filling
Kunal Roy, Arkaprava Banerjee
Springer briefs in molecular science (2024), pp. 15-29
Closed Access
Machine learning-based prediction of fish acute mortality: Implementation, interpretation, and regulatory relevance
Lilian Gasser, Christoph Schür, Fernando Pérez‐Cruz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A Deep Overview of Anticoagulant Drugs: Recent Synthesis and Their Activity Assay
Engrid Juni Astuti, Slamet Ibrahim, Muhammad Ali Zulfikar, et al.
Indonesian Journal of Chemistry (2024) Vol. 24, Iss. 2, pp. 606-606
Open Access
P05-01 Ensuring in silico models for toxicology are FAIR
Mark T.D. Cronin, Hassan Basiri, Samuel J. Belfield, et al.
Toxicology Letters (2024) Vol. 399, pp. S132-S132
Closed Access
Evidence-based approaches in toxicology: their origins, challenges, and future directions
Thomas Härtung, Katya Tsaioun
Evidence-Based Toxicology (2024) Vol. 2, Iss. 1
Open Access
The predictivity of QSARs for toxicity: Recommendations for improving model performance
Mark T.D. Cronin, Hassan Basiri, Georgios Chrysochoou, et al.
Computational Toxicology (2024) Vol. 33, pp. 100338-100338
Open Access
Artificial Intelligence in Predictive Toxicology: Identifying influential topics based on science mapping
Avradeep Bose, Bidhan Dolai, Hriddhiman Basu
International Journal of Medical Research (2022)
Open Access
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