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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:

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

Showing 1-25 of 38 citing articles:

Three million images and morphological profiles of cells treated with matched chemical and genetic perturbations
Srinivas Niranj Chandrasekaran, Beth A. Cimini, Amy Goodale, et al.
Nature Methods (2024) Vol. 21, Iss. 6, pp. 1114-1121
Open Access | Times Cited: 55
How to build the virtual cell with artificial intelligence: Priorities and opportunities
Charlotte Bunne, Yusuf Roohani, Yanay Rosen, et al.
Cell (2024) Vol. 187, Iss. 25, pp. 7045-7063
Open Access | Times Cited: 16
A genome-wide atlas of human cell morphology
Meraj Ramezani, Erin Weisbart, Julia Bauman, et al.
Nature Methods (2025)
Open Access | Times Cited: 5
A genome-wide atlas of human cell morphology
Meraj Ramezani, Julia Bauman, Avtar Singh, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 26
Evaluating batch correction methods for image-based cell profiling
John Arévalo, Ellen Su, Jessica Ewald, et al.
Nature Communications (2024) Vol. 15, Iss. 1
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
Artificial intelligence for high content imaging in drug discovery
Jordi Carreras‐Puigvert, Ola Spjuth
Current Opinion in Structural Biology (2024) Vol. 87, pp. 102842-102842
Open Access | Times Cited: 9
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
PIFiA: self-supervised approach for protein functional annotation from single-cell imaging data
Anastasia Razdaibiedina, Alexander Brechalov, Helena Friesen, et al.
Molecular Systems Biology (2024) Vol. 20, Iss. 5, pp. 521-548
Open Access | Times Cited: 7
Microsnoop: A generalist tool for microscopy image representation
Dejin Xun, Rui Wang, Xingcai Zhang, et al.
The Innovation (2024) Vol. 5, Iss. 1, pp. 100541-100541
Open Access | Times Cited: 6
A versatile information retrieval framework for evaluating profile strength and similarity
Alexandr A. Kalinin, John Arévalo, Loan Vulliard, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 6
Building, benchmarking, and exploring perturbative maps of transcriptional and morphological data
Safiye Çelik, Jan-Christian Hütter, Sandra Melo Carlos, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 10, pp. e1012463-e1012463
Open Access | Times Cited: 6
Evaluating the utility of brightfield image data for mechanism of action prediction
Philip J. Harrison, Ankit Gupta, Jonne Rietdijk, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 7, pp. e1011323-e1011323
Open Access | Times Cited: 15
Evaluating batch correction methods for image-based cell profiling
John Arévalo, Ellen Su, Robert van Dijk, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 15
Assessing the performance of the Cell Painting assay across different imaging systems
Callum Tromans‐Coia, Nasim Jamali, Hamdah Shafqat Abbasi, et al.
Cytometry Part A (2023) Vol. 103, Iss. 11, pp. 915-926
Open Access | Times Cited: 12
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
Attention-based deep learning for accurate cell image analysis
Xiangrui Gao, Fan Zhang, Xueyu Guo, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Self‐Driving Microscopes: AI Meets Super‐Resolution Microscopy
Edward Ward, Anna Scheeder, Max Barysevich, et al.
Small Methods (2025)
Open Access
uniDINO: assay-independent feature extraction for fluorescence microscopy images
Flavio M. Morelli, Vladislav Kim, Franziska Annabelle Hecker, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 928-936
Open Access
Evaluating feature extraction in ovarian cancer cell line co-cultures using deep neural networks
O. P. Sharma, Greta Gudoitytė, Rezan Minozada, et al.
Communications Biology (2025) Vol. 8, Iss. 1
Open Access
Recent Advances in Structured Illumination Microscopy: From Fundamental Principles to AI‐Enhanced Imaging
Heng Zhang, Yunqi Zhu, Luhong Jin, et al.
Small Methods (2025)
Open Access
Nontargeted Toxicological/Chemical Analysis in Complex Mixtures for Risk Assessment and Key Driver Discovery
Chunzhen Shi, Xiaoxi Yang, Jifu Liu, et al.
Environment & Health (2025)
Open Access
Toward automated and explainable high-throughput perturbation analysis in single cells
Jesus Gonzalez-Ferrer, Mohammed A. Mostajo-Radji
Patterns (2025) Vol. 6, Iss. 4, pp. 101228-101228
Open Access
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