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-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

Showing 15 citing articles:

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 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

Evaluation of DNA encoded library and machine learning model combinations for hit discovery
Sumaiya Iqbal, Wei Jiang, Eric R. Hansen, et al.
npj Drug Discovery. (2025) Vol. 2, Iss. 1
Open Access

Phenotypic drug discovery
Sonja Sievers, Herbert Waldmann, Slava Ziegler
Elsevier eBooks (2025)
Closed Access

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

DEL+ML paradigm for actionable hit discovery – a cross DEL and cross ML model assessment.
Sumaiya Iqbal, Wei Jiang, Eric R. Hansen, et al.
(2024)
Open Access | Times Cited: 2

Hit me with your best shot: Integrated hit discovery for the next generation of drug targets
Sajda Ashraf, J. Henry Blackwell, Geoffrey A. Holdgate, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 10, pp. 104143-104143
Closed Access | Times Cited: 2

Low concentration cell painting images enable the identification of highly potent compounds
Son V. Ha, Steffen Jaensch, Lorena G. A. Freitas, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Phenotypic approaches for CNS drugs
Rakesh Sharma, Caitlin R. M. Oyagawa, Hamid Abbasi, et al.
Trends in Pharmacological Sciences (2024) Vol. 45, Iss. 11, pp. 997-1017
Open Access

Development of a pipeline to evaluate YAP-TEAD inhibitor potential-direct TEAD inhibition represses cancerous growth in aNF2-mutant model of mesothelioma
Richard Cunningham, Siyang Jia, Krishna Pinganksha Purohit, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Insights into the Identification of iPSC- and Monocyte-Derived Macrophage-Polarizing Compounds by AI-Fueled Cell Painting Analysis Tools
Johanna B. Brüggenthies, Jakob Dittmer, Eva M. Garrido-Martín, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 22, pp. 12330-12330
Open Access

A Highly-Efficient, Scalable Pipeline for Fixed Feature Extraction from Large-Scale High-Content Imaging Screens
Gabriel Comolet, N.K. Bose, Jeff Winchell, et al.
iScience (2024) Vol. 27, Iss. 12, pp. 111434-111434
Open Access

A Framework for Autonomous AI-Driven Drug Discovery
Douglas W. Selinger, Tom Wall, Eleni Stylianou, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

ScaleFExSM: a lightweight and scalable method to extract fixed features from single cells in high-content imaging screens
Gabriel Comolet, N.K. Bose, Jeff Winchell, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

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