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:

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

Showing 1-25 of 56 citing articles:

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

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

Deep learning in image-based phenotypic drug discovery
Daniel Krentzel, Spencer Shorte, Christophe Zimmer
Trends in Cell Biology (2023) Vol. 33, Iss. 7, pp. 538-554
Open Access | Times Cited: 48

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

High-dimensional phenotyping to define the genetic basis of cellular morphology
Matthew Tegtmeyer, Jatin Arora, Samira Asgari, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 29

A genome-wide atlas of human cell morphology
Meraj Ramezani, Erin Weisbart, Julia Bauman, et al.
Nature Methods (2025)
Open Access | Times Cited: 4

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

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: 11

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

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

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

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

Unbiased identification of cell identity in dense mixed neural cultures
Sarah De Beuckeleer, Tim Van De Looverbosch, Johanna Van Den Daele, et al.
eLife (2025) Vol. 13
Open Access

Imaging flow cytometry-based cellular screening elucidates pathophysiology in individuals with Variants of Uncertain Significance
Irena Muffels, Hans R. Waterham, Giuseppina D’Alessandro, et al.
Genome Medicine (2025) Vol. 17, Iss. 1
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

Pooled genetic screens with image‐based profiling
Russell T. Walton, Avtar Singh, Paul C. Blainey
Molecular Systems Biology (2022) Vol. 18, Iss. 11
Open Access | Times Cited: 17

High-content microscopy reveals a morphological signature of bortezomib resistance
Megan E. Kelley, Adi Y. Berman, David R. Stirling, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 9

Toward generalizable phenotype prediction from single-cell morphology representations
Jenna Tomkinson, Roshan Kern, Cameron Mattson, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
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

Reproducible image-based profiling with Pycytominer
Erik Serrano, Srinivas Niranj Chandrasekaran, Dave Bunten, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 7

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