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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:

Predicting the Mitochondrial Toxicity of Small Molecules: Insights from Mechanistic Assays and Cell Painting Data
Marina García de Lomana, Paula Andrea Marin Zapata, Floriane Montanari
Chemical Research in Toxicology (2023) Vol. 36, Iss. 7, pp. 1107-1120
Open Access | Times Cited: 21

Showing 21 citing articles:

A Decade in a Systematic Review: The Evolution and Impact of Cell Painting
Srijit Seal, Maria‐Anna Trapotsi, Ola Spjuth, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 11
Self-supervision advances morphological profiling by unlocking powerful image representations
Vladislav Kim, Nikolas Adaloglou, Marc Osterland, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 21
Machine learning in toxicological sciences: opportunities for assessing drug toxicity
Lusine Tonoyan, Arno G. Siraki
Frontiers in Drug Discovery (2024) Vol. 4
Open Access | Times Cited: 7
Semisupervised Contrastive Learning for Bioactivity Prediction Using Cell Painting Image Data
David Bushiri Pwesombo, Carsten Jörn Beese, Christopher Schmied, et al.
Journal of Chemical Information and Modeling (2025)
Open Access
Self-supervision advances morphological profiling by unlocking powerful image representations
Vladislav Kim, Nikolas Adaloglou, Marc Osterland, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Predicting Liver-Related In Vitro Endpoints with Machine Learning to Support Early Detection of Drug-Induced Liver Injury
Marina García de Lomana, Domenico Gadaleta, Marian Raschke, et al.
Chemical Research in Toxicology (2025)
Open Access
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
Detection of a Mitochondrial Fragmentation and Integrated Stress Response Using the Cell Painting Assay
Soheila Rezaei Adariani, Daya Agne, Sandra Koska, et al.
Journal of Medicinal Chemistry (2024) Vol. 67, Iss. 15, pp. 13252-13270
Open Access | Times Cited: 2
Discovery Phase Agrochemical Predictive Safety Assessment Using High Content In Vitro Data to Estimate an In Vivo Toxicity Point of Departure
Enrica Bianchi, Eduardo Costa, Joshua Harrill, et al.
Journal of Agricultural and Food Chemistry (2024) Vol. 72, Iss. 30, pp. 17099-17120
Closed Access | Times Cited: 2
In Vitro Predictions of Acute Fish Toxicity for Development of Sustainable Crop Protection Products
Tamara D. Lunsman, Gyan Harwood, Audrey Lehman, et al.
Journal of Agricultural and Food Chemistry (2024)
Closed Access | Times Cited: 2
Cell Painting: a decade of discovery and innovation in cellular imaging
Srijit Seal, Maria‐Anna Trapotsi, Ola Spjuth, et al.
Nature Methods (2024)
Closed Access | Times Cited: 2
Cell Painting and chemical structure read-across can complement each other for rat acute oral toxicity prediction in chemical early de-risking
F. Camilleri, J. Wenda, C. Pecoraro-Mercier, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
High-Throughput Image-Based Assay for Identifying In Vitro Hepatocyte Microtubule Disruption
Yang Li, Andrew J. Bowling, Audrey Lehman, et al.
Journal of Agricultural and Food Chemistry (2024) Vol. 72, Iss. 39, pp. 21804-21819
Closed Access | Times Cited: 1
Cell Painting and Chemical Structure Read-Across Can Complement Each Other for Rat Acute Oral Toxicity Prediction in Chemical Early Derisking
F. Camilleri, J. Wenda, C. Pecoraro-Mercier, et al.
Chemical Research in Toxicology (2024) Vol. 37, Iss. 11, pp. 1851-1866
Closed Access | Times Cited: 1
Detection of a Mitochondrial Stress Phenotype using the Cell Painting Assay
Soheila Rezaei Adariani, Daya Agne, Sandra Koska, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
FSL-CP: a benchmark for small molecule activity few-shot prediction using cell microscopy images
Son V. Ha, Lucas Leuschner, Paul Czodrowski
Digital Discovery (2024) Vol. 3, Iss. 4, pp. 719-727
Open Access
Artificial Intelligence Methods for Evaluating Mitochondrial Dysfunction: Exploring Various Chemical Notations Suitable for Neural Language Processing Models
Edoardo Luca Viganò, Erika Colombo, Davide Ballabio, et al.
Lecture notes in computer science (2024), pp. 116-131
Open Access
Computational Strategies for Assessing Adverse Outcome Pathways: Hepatic Steatosis as a Case Study
Rita Ortega-Vallbona, Martina Palomino‐Schätzlein, Laia Tolosa, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 20, pp. 11154-11154
Open Access
Semi-supervised Contrastive Learning for Bioactivity Prediction using Cell Painting Image Data
David Bushiri Pwesombo, Carsten Jörn Beese, Christopher Schmied, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A diffusion model conditioned on compound bioactivity profiles for predicting high-content images
Steven Cook, Jason Chyba, Laura Gresoro, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Development of a pipeline to evaluate YAP-TEAD inhibitor potential-direct TEAD inhibition represses cancerous growth in aNF2-mutant model of mesothelioma
Richard Cunningham, Siyang Jia, Krishna Pinganksha Purohit, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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