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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:

TULIP: A transformer-based unsupervised language model for interacting peptides and T cell receptors that generalizes to unseen epitopes
Barthelemy Meynard-Piganeau, Christoph Feinauer, Martin Weigt, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 24
Open Access | Times Cited: 17

Showing 17 citing articles:

Machine learning meets physics: A two-way street
Herbert Levine, Yuhai Tu
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 27
Open Access | Times Cited: 9
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
Enhancing TCR specificity predictions by combined pan- and peptide-specific training, loss-scaling, and sequence similarity integration
Mathias Fynbo Jensen, Morten Nielsen
eLife (2023) Vol. 12
Open Access | Times Cited: 12
The Observed T Cell Receptor Space database enables paired-chain repertoire mining, coherence analysis, and language modeling
Matthew I. J. Raybould, Alexander Greenshields‐Watson, Parth Agarwal, et al.
Cell Reports (2024) Vol. 43, Iss. 9, pp. 114704-114704
Open Access | Times Cited: 4
Lessons learned from the IMMREP23 TCR-epitope prediction challenge
Morten Nielsen, Anne Eugster, Mathias Fynbo Jensen, et al.
ImmunoInformatics (2024) Vol. 16, pp. 100045-100045
Open Access | Times Cited: 4
Feature selection enhances peptide binding predictions for TCR-specific interactions
Hamid Teimouri, Zahra S. Ghoreyshi, Anatoly B. Kolomeisky, et al.
Frontiers in Immunology (2025) Vol. 15
Open Access
T-cell receptor specificity landscape revealed through de novo peptide design
Gian Marco Visani, Michael N. Pun, Anastasia A. Minervina, et al.
(2025)
Open Access
Sequence-Based TCR-Peptide Representations Using Cross-Epitope Contrastive Fine-Tuning of Protein Language Models
Chiho Im, Ryan Zhao, Scott D. Boyd, et al.
Lecture notes in computer science (2025), pp. 34-48
Closed Access
Limits on inferring T cell specificity from partial information
James Henderson, Yuta Nagano, Martina Milighetti, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 42
Open Access | Times Cited: 3
Epitope-anchored contrastive transfer learning for paired CD8+ T cell receptor–antigen recognition
Yumeng Zhang, Zhikang Wang, Yunzhe Jiang, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 11, pp. 1344-1358
Closed Access | Times Cited: 2
Integration of Kinetic Data into Affinity-Based Models for Improved T Cell Specificity Prediction
Zahra S. Ghoreyshi, Hamid Teimouri, Anatoly B. Kolomeisky, et al.
Biophysical Journal (2024)
Closed Access | Times Cited: 2
Epitope-anchored contrastive transfer learning for paired CD8+T cell receptor-antigen recognition
Yumeng Zhang, Zhikang Wang, Yunzhe Jiang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Leveraging large language models for peptide antibiotic design
Changge Guan, Fabiano C. Fernandes, Octávio Luiz Franco, et al.
Cell Reports Physical Science (2024) Vol. 6, Iss. 1, pp. 102359-102359
Open Access | Times Cited: 1
Feature Selection Enhances Peptide Binding Predictions for TCR-Specific Interactions
Hamid Teimouri, Zahra S. Ghoreyshi, Anatoly B. Kolomeisky, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Efficient Inference, Training, and Fine-tuning of Protein Language Models
Muhammed Hasan Çelik, Xiaohui Xie
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Sequence-based TCR-Peptide Representations Using Cross-Epitope Contrastive Fine-tuning of Protein Language Models
Chiho Im, Ryan Zhao, Scott D. Boyd, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
MLM Pretraining Dynamics for Downstream peptide: TCR Binding Prediction
Blake J. Landry, Jian Zhang
Bioinformatics Advances (2024) Vol. 5, Iss. 1
Open Access
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