Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Predicting recognition between T cell receptors and epitopes with TCRGP
Emmi Jokinen, Jani Huuhtanen, Satu Mustjoki, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 3, pp. e1008814-e1008814
Open Access | Times Cited: 111

Showing 1-25 of 111 citing articles:

TITAN: T-cell receptor specificity prediction with bimodal attention networks
Anna Weber, Jannis Born, María Rodríguez Martínez
Bioinformatics (2021) Vol. 37, Iss. Supplement_1, pp. i237-i244
Open Access | Times Cited: 126
Can we predict T cell specificity with digital biology and machine learning?
D. R. Hudson, Ricardo A. Fernandes, Mark Basham, et al.
Nature reviews. Immunology (2023) Vol. 23, Iss. 8, pp. 511-521
Open Access | Times Cited: 118
Contribution of T Cell Receptor Alpha and Beta CDR3, MHC Typing, V and J Genes to Peptide Binding Prediction
Ido Springer, Nili Tickotsky, Yoram Louzoun
Frontiers in Immunology (2021) Vol. 12
Open Access | Times Cited: 114
Bystander T cells in cancer immunology and therapy
Stefanie L. Meier, Ansuman T. Satpathy, Daniel K. Wells
Nature Cancer (2022) Vol. 3, Iss. 2, pp. 143-155
Closed Access | Times Cited: 93
Pan-Peptide Meta Learning for T-cell receptor–antigen binding recognition
Yicheng Gao, Yuli Gao, Yuxiao Fan, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 3, pp. 236-249
Open Access | Times Cited: 84
Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report
Pieter Meysman, Justin Barton, Barbara Bravi, et al.
ImmunoInformatics (2023) Vol. 9, pp. 100024-100024
Open Access | Times Cited: 68
Single-cell characterization of anti–LAG-3 and anti–PD-1 combination treatment in patients with melanoma
Jani Huuhtanen, Henna H.E. Kasanen, Katriina Peltola, et al.
Journal of Clinical Investigation (2023) Vol. 133, Iss. 6
Open Access | Times Cited: 63
Development and use of machine learning algorithms in vaccine target selection
Barbara Bravi
npj Vaccines (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 34
Deep learning predictions of TCR-epitope interactions reveal epitope-specific chains in dual alpha T cells
Giancarlo Croce, Sara Bobisse, Dana Léa Moreno, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 27
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
Integrating T cell receptor sequences and transcriptional profiles by clonotype neighbor graph analysis (CoNGA)
Stefan A. Schattgen, Kate Guion, Jeremy Chase Crawford, et al.
Nature Biotechnology (2021) Vol. 40, Iss. 1, pp. 54-63
Open Access | Times Cited: 96
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires
Milena Pavlović, Lonneke Scheffer, Keshav Motwani, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 11, pp. 936-944
Open Access | Times Cited: 61
On TCR binding predictors failing to generalize to unseen peptides
Filippo Grazioli, Anja Mösch, Pierre Machart, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 53
ATM-TCR: TCR-Epitope Binding Affinity Prediction Using a Multi-Head Self-Attention Model
Michael Cai, Seojin Bang, Pengfei Zhang, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 44
Single-cell characterization of leukemic and non-leukemic immune repertoires in CD8+ T-cell large granular lymphocytic leukemia
Jani Huuhtanen, Dipabarna Bhattacharya, Tapio Lönnberg, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 42
TEINet: a deep learning framework for prediction of TCR–epitope binding specificity
Yuepeng Jiang, Miaozhe Huo, Shuai Cheng Li
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Open Access | Times Cited: 36
epiTCR: a highly sensitive predictor for TCR–peptide binding
My-Diem Nguyen Pham, Thanh-Nhan Nguyen, Le Son Tran, et al.
Bioinformatics (2023) Vol. 39, Iss. 5
Open Access | Times Cited: 36
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
Altered immune landscape of cervical lymph nodes reveals Epstein-Barr virus signature in multiple sclerosis
Joona Sarkkinen, Dawit Yohannes, Nea Kreivi, et al.
Science Immunology (2025) Vol. 10, Iss. 104
Closed Access | Times Cited: 1
Recent advances in T-cell receptor repertoire analysis: Bridging the gap with multimodal single-cell RNA sequencing
Sebastiaan Valkiers, Nicky de Vrij, Sofie Gielis, et al.
ImmunoInformatics (2022) Vol. 5, pp. 100009-100009
Open Access | Times Cited: 38
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.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 18
T-cell receptor binding prediction: A machine learning revolution
Anna Weber, Aurélien Pélissier, María Rodríguez Martínez
ImmunoInformatics (2024) Vol. 15, pp. 100040-100040
Open Access | Times Cited: 6
T-Cell Receptor Repertoire Sequencing in the Era of Cancer Immunotherapy
Meredith Frank, Kaylene Lu, Can Erdogan, et al.
Clinical Cancer Research (2022) Vol. 29, Iss. 6, pp. 994-1008
Open Access | Times Cited: 28
Evolution and modulation of antigen-specific T cell responses in melanoma patients
Jani Huuhtanen, Liang Chen, Emmi Jokinen, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 25
Quantitative approaches for decoding the specificity of the human T cell repertoire
Zahra S. Ghoreyshi, Jason T. George
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 15
Page 1 - Next Page

Scroll to top