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:

Self-supervised learning of T cell receptor sequences exposes core properties for T cell membership
Romi Goldner Kabeli, Sarit Zevin, Avital Abargel, et al.
Science Advances (2024) Vol. 10, Iss. 17
Open Access | Times Cited: 5

Showing 5 citing articles:

Contrastive learning of T cell receptor representations
Yuta Nagano, Andrew G. T. Pyo, Martina Milighetti, et al.
Cell Systems (2025), pp. 101165-101165
Open Access | Times Cited: 1

Leveraging machine learning for integrative analysis of T-cell receptor repertoires in colorectal cancer: Insights into MAIT cell dynamics and risk assessment
Romi Goldner Kabeli, Ben Boursi, Alona Zilberberg, et al.
Translational Oncology (2025) Vol. 55, pp. 102358-102358
Closed Access

Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning
Timothy J O'Donnell, Chakravarthi Kanduri, Giulio Isacchini, et al.
Cell Systems (2024) Vol. 15, Iss. 12, pp. 1168-1189
Open Access | Times Cited: 2

MIST: an interpretable and flexible deep learning framework for single-T cell transcriptome and receptor analysis
Wenpu Lai, Yangqiu Li, Oscar Junhong Luo
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access

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