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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:

Integrating cell morphology with gene expression and chemical structure to aid mitochondrial toxicity detection
Srijit Seal, Jordi Carreras‐Puigvert, Maria‐Anna Trapotsi, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Predicting compound activity from phenotypic profiles and chemical structures
Nikita Moshkov, Tim Becker, Kevin Yang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 62
Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA Drug-Induced Cardiotoxicity Rank
Srijit Seal, Ola Spjuth, Layla Hosseini-Gerami, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 4, pp. 1172-1186
Open Access | Times Cited: 18
Using chemical and biological data to predict drug toxicity
Anika Liu, Srijit Seal, Hongbin Yang, et al.
SLAS DISCOVERY (2023) Vol. 28, Iss. 3, pp. 53-64
Open Access | Times Cited: 37
Application of Cell Painting for chemical hazard evaluation in support of screening-level chemical assessments
Johanna Nyffeler, Clinton Willis, Felix R. Harris, et al.
Toxicology and Applied Pharmacology (2023) Vol. 468, pp. 116513-116513
Open Access | Times Cited: 33
Immunotoxic, genotoxic, and endocrine disrupting impacts of polyamide microplastic particles and chemicals
Andi Alijagić, Oleksandr Kotlyar, Maria Larsson, et al.
Environment International (2023) Vol. 183, pp. 108412-108412
Open Access | Times Cited: 29
Merging bioactivity predictions from cell morphology and chemical fingerprint models using similarity to training data
Srijit Seal, Hongbin Yang, Maria‐Anna Trapotsi, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 26
Morphological subprofile analysis for bioactivity annotation of small molecules
Axel Pahl, Beate Schölermann, Philipp Lampe, et al.
Cell chemical biology (2023) Vol. 30, Iss. 7, pp. 839-853.e7
Open Access | Times Cited: 24
Cell Painting-based bioactivity prediction boosts high-throughput screening hit-rates and compound diversity
Johan Fredin Haslum, Charles-Hugues Lardeau, Johan Karlsson, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 15
From pixels to phenotypes: Integrating image-based profiling with cell health data as BioMorph features improves interpretability
Srijit Seal, Jordi Carreras‐Puigvert, Shantanu Singh, et al.
Molecular Biology of the Cell (2024) Vol. 35, Iss. 3
Open Access | Times Cited: 12
Cocktail effects of tire wear particles leachates on diverse biological models: A multilevel analysis
Jessy Le Du-Carrée, Clara Kempkens Palacios, Anna Rotander, et al.
Journal of Hazardous Materials (2024) Vol. 471, pp. 134401-134401
Open Access | Times Cited: 12
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: 12
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
Using Generative Modeling to Endow with Potency Initially Inert Compounds with Good Bioavailability and Low Toxicity
Robert I. Horne, Jared Wilson-Godber, Alicia González Díaz, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 590-596
Open Access | Times Cited: 9
Metabolic and phenotypic changes induced by PFAS exposure in two human hepatocyte cell models
Andi Alijagić, Lisanna Sinisalu, Daniel Duberg, et al.
Environment International (2024) Vol. 190, pp. 108820-108820
Open Access | Times Cited: 9
Progress in toxicogenomics to protect human health
Matthew J. Meier, Joshua Harrill, Kamin J. Johnson, et al.
Nature Reviews Genetics (2024)
Closed Access | Times Cited: 8
Machine Learning‐Enabled Drug‐Induced Toxicity Prediction
Changsen Bai, Lianlian Wu, Ruijiang Li, et al.
Advanced Science (2025)
Open Access | Times Cited: 1
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
Evolution and impact of high content imaging
Gregory P. Way, Heba Sailem, Steven Shave, et al.
SLAS DISCOVERY (2023) Vol. 28, Iss. 7, pp. 292-305
Open Access | Times Cited: 21
A Novel Nanosafety Approach Using Cell Painting, Metabolomics, and Lipidomics Captures the Cellular and Molecular Phenotypes Induced by the Unintentionally Formed Metal-Based (Nano)Particles
Andi Alijagić, Nikolai Scherbak, Oleksandr Kotlyar, et al.
Cells (2023) Vol. 12, Iss. 2, pp. 281-281
Open Access | Times Cited: 15
Assessment of Drug-Induced Liver Injury through Cell Morphology and Gene Expression Analysis
Vanille Lejal, Natacha Cerisier, David Rouquié, et al.
Chemical Research in Toxicology (2023) Vol. 36, Iss. 9, pp. 1456-1470
Open Access | Times Cited: 15
Using Transcriptomics and Cell Morphology Data in Drug Discovery: The Long Road to Practice
Lavinia-Lorena Pruteanu, Andreas Bender
ACS Medicinal Chemistry Letters (2023) Vol. 14, Iss. 4, pp. 386-395
Open Access | Times Cited: 14
Leveraging Cell Painting Images to Expand the Applicability Domain and Actively Improve Deep Learning Quantitative Structure–Activity Relationship Models
Dorota Herman, Maciej M. Kańduła, Lorena Freitas, et al.
Chemical Research in Toxicology (2023) Vol. 36, Iss. 7, pp. 1028-1036
Open Access | Times Cited: 14
An NLP-based technique to extract meaningful features from drug SMILES
Rahul Sharma, Ehsan Saghapour, Jake Y. Chen
iScience (2024) Vol. 27, Iss. 3, pp. 109127-109127
Open Access | Times Cited: 5
Hybrid non-animal modeling: A mechanistic approach to predict chemical hepatotoxicity
Elena Chung, Xia Wen, Xuelian Jia, et al.
Journal of Hazardous Materials (2024) Vol. 471, pp. 134297-134297
Closed Access | Times Cited: 5
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: 4
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