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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 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

Showing 1-25 of 62 citing articles:

Morphology and gene expression profiling provide complementary information for mapping cell state
Gregory P. Way, Ted Natoli, Adeniyi Adeboye, et al.
Cell Systems (2022) Vol. 13, Iss. 11, pp. 911-923.e9
Open Access | Times Cited: 83
Optimizing the Cell Painting assay for image-based profiling
Beth A. Cimini, Srinivas Niranj Chandrasekaran, Maria Kost‐Alimova, et al.
Nature Protocols (2023) Vol. 18, Iss. 7, pp. 1981-2013
Open Access | Times Cited: 81
High-dimensional gene expression and morphology profiles of cells across 28,000 genetic and chemical perturbations
Marzieh Haghighi, Juan C. Caicedo, Beth A. Cimini, et al.
Nature Methods (2022) Vol. 19, Iss. 12, pp. 1550-1557
Open Access | Times Cited: 70
JUMP Cell Painting dataset: morphological impact of 136,000 chemical and genetic perturbations
Srinivas Niranj Chandrasekaran, Jeanelle Ackerman, Eric Alix, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 62
Learning representations for image-based profiling of perturbations
Nikita Moshkov, Michael Bornholdt, Santiago Benoit, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 38
Artificial intelligence in drug development
Kang Zhang, Xin Yang, Yifei Wang, et al.
Nature Medicine (2025) Vol. 31, Iss. 1, pp. 45-59
Closed Access | Times Cited: 12
Data-Driven Approach for Designing Eco-Friendly Heterocyclic Compounds for the Soil Microbiome
Bingfeng Chen, Meng Liu, Zhenyan Zhang, et al.
Environmental Science & Technology (2025)
Closed Access | Times Cited: 2
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 predicts impact of lung cancer variants
Juan C. Caicedo, John Arévalo, Federica Piccioni, et al.
Molecular Biology of the Cell (2022) Vol. 33, Iss. 6
Open Access | Times Cited: 56
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
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: 25
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
Synthetic biology advances towards a bio-based society in the era of artificial intelligence
Attia Iram, Yueming Dong, Codruţa Ignea
Current Opinion in Biotechnology (2024) Vol. 87, pp. 103143-103143
Open Access | Times Cited: 8
Applications of Artificial Intelligence in Drug Repurposing
Zhaoman Wan, Xinran Sun, Yi Li, et al.
Advanced Science (2025)
Open Access | Times Cited: 1
Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmetic
Yuen Ler Chow, Shantanu Singh, Anne E. Carpenter, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 2, pp. e1009888-e1009888
Open Access | Times Cited: 33
Unbiased single-cell morphology with self-supervised vision transformers
Michael Doron, Théo Moutakanni, Zitong Chen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 21
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
Combining molecular and cell painting image data for mechanism of action prediction
Guangyan Tian, Philip J. Harrison, Akshai Parakkal Sreenivasan, et al.
Artificial Intelligence in the Life Sciences (2023) Vol. 3, pp. 100060-100060
Open Access | Times Cited: 17
Perspectives on Advancing Multimodal Learning in Environmental Science and Engineering Studies
Wenjia Liu, Jingwen Chen, Haobo Wang, et al.
Environmental Science & Technology (2024)
Closed Access | Times Cited: 6
DICTrank: The largest reference list of 1318 human drugs ranked by risk of drug-induced cardiotoxicity using FDA labeling
Yanyan Qu, Ting Li, Zhichao Liu, et al.
Drug Discovery Today (2023) Vol. 28, Iss. 11, pp. 103770-103770
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: 13
A phenomics approach for antiviral drug discovery
Jonne Rietdijk, Marianna Tampere, Aleksandra Pettke, et al.
BMC Biology (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 27
High throughput microscopy and single cell phenotypic image-based analysis in toxicology and drug discovery
Fabio Stossi, Pankaj K. Singh, Kazem Safari, et al.
Biochemical Pharmacology (2023) Vol. 216, pp. 115770-115770
Closed Access | Times Cited: 12
Network-Based Methods and Their Applications in Drug Discovery
Zhuohang Yu, Zengrui Wu, Ze Wang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 1, pp. 57-75
Closed Access | Times Cited: 11
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
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