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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:

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

Showing 1-25 of 26 citing articles:

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
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
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
Augmenting DMTA using predictive AI modelling at AstraZeneca
Gian Marco Ghiandoni, Emma Evertsson, D. Riley, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 4, pp. 103945-103945
Open Access | Times Cited: 13
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
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
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
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
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
Morphological profiling for drug discovery in the era of deep learning
Qiaosi Tang, Ranjala Ratnayake, Gustavo Seabra, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 4
Cell-vision fusion: A Swin transformer-based approach for predicting kinase inhibitor mechanism of action from Cell Painting data
William Dee, Inês Sequeira, Anna Lobley, et al.
iScience (2024) Vol. 27, Iss. 8, pp. 110511-110511
Open Access | Times Cited: 4
Phenotypic drug discovery
Sonja Sievers, Herbert Waldmann, Slava Ziegler
Elsevier eBooks (2025)
Closed Access
Assessing biologic/toxicologic effects of extractables from plastic contact materials for advanced therapy manufacturing using cell painting assay and cytotoxicity screening
Ina Pahl, Axel Pahl, Armin Hauk, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
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: 3
Polypharmacology prediction: the long road toward comprehensively anticipating small-molecule selectivity to de-risk drug discovery
Leticia Manen-Freixa, Albert A. Antolín
Expert Opinion on Drug Discovery (2024) Vol. 19, Iss. 9, pp. 1043-1069
Closed Access | Times Cited: 2
Unleashing the potential of cell painting assays for compound activities and hazards prediction
Floriane Odje, David Meijer, Elena von Coburg, et al.
Frontiers in Toxicology (2024) Vol. 6
Open Access | Times Cited: 2
Optimizing Photodegradation Rate Prediction of Organic Contaminants: Models with Fine-Tuned Hyperparameters and SHAP Feature Analysis for Informed Decision Making
Rodrigo Teixeira Schossler, Samuel Ojo, Xiong Yu
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 1131-1145
Closed Access | Times Cited: 6
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
Step Forward Cross Validation for Bioactivity Prediction: Out of Distribution Validation in Drug Discovery
Udit Surya Saha, Michele Vendruscolo, Anne E. Carpenter, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Advancing Bioactivity Prediction through Molecular Docking and Self-Attention
Yueming Yin, Hilbert Yuen In Lam, Yuguang Mu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 12, pp. 7599-7610
Open 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
Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA DICTrank
Srijit Seal, Ola Spjuth, Layla Hosseini-Gerami, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
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
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