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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:

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

Showing 1-25 of 83 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
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
OME-Zarr: a cloud-optimized bioimaging file format with international community support
Josh Moore, Daniela Basurto-Lozada, Sébastien Besson, et al.
Histochemistry and Cell Biology (2023) Vol. 160, Iss. 3, pp. 223-251
Open Access | Times Cited: 63
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
A genome-wide atlas of human cell morphology
Meraj Ramezani, Erin Weisbart, Julia Bauman, et al.
Nature Methods (2025)
Open Access | Times Cited: 5
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
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
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
Multiplexed, image-based pooled screens in primary cells and tissues with PerturbView
Takamasa Kudo, Ana M. Meireles, Reuben Moncada, et al.
Nature Biotechnology (2024)
Closed Access | Times Cited: 15
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
VIBRANT: spectral profiling for single-cell drug responses
Xinwen Liu, Lixue Shi, Zhilun Zhao, et al.
Nature Methods (2024) Vol. 21, Iss. 3, pp. 501-511
Open Access | Times Cited: 11
Deep learning large-scale drug discovery and repurposing
Min Yu, W. Li, Yunru Yu, et al.
Nature Computational Science (2024) Vol. 4, Iss. 8, pp. 600-614
Closed 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
Reproducible image-based profiling with Pycytominer
Erik Serrano, Srinivas Niranj Chandrasekaran, David Bunten, et al.
Nature Methods (2025)
Open Access | Times Cited: 1
Geometric deep learning and multiple-instance learning for 3D cell-shape profiling
Matt De Vries, Lucas Dent, Nathan Curry, et al.
Cell Systems (2025) Vol. 16, Iss. 3, pp. 101229-101229
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
DynaMorph: self-supervised learning of morphodynamic states of live cells
Zhenqin Wu, Bryant B. Chhun, Galina Popova, et al.
Molecular Biology of the Cell (2022) Vol. 33, Iss. 6
Open Access | Times Cited: 30
Reference compounds for characterizing cellular injury in high-content cellular morphology assays
Jayme L. Dahlin, Bruce K. Hua, Beth E. Zucconi, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 21
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
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