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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:

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

Showing 1-25 of 36 citing articles:

Therapeutic cancer vaccines: advancements, challenges and prospects
Ting Fan, Mingna Zhang, Jingxian Yang, et al.
Signal Transduction and Targeted Therapy (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 195
xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein
Bo Chen, Xingyi Cheng, Li Pan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 59
Next-Generation TB Vaccines: Progress, Challenges, and Prospects
Zhuang Li, Zhaoyang Ye, Linsheng Li, et al.
Vaccines (2023) Vol. 11, Iss. 8, pp. 1304-1304
Open Access | Times Cited: 58
Machine learning predictions of T cell antigen specificity from intracellular calcium dynamics
Sébastien This, Santiago Costantino, Heather J. Melichar
Science Advances (2024) Vol. 10, Iss. 10
Open Access | Times Cited: 6
Predicting TCR sequences for unseen antigen epitopes using structural and sequence features
Hongchen Ji, Xiang-Xu Wang, Qiong Zhang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 6
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
Artificial intelligence and neoantigens: paving the path for precision cancer immunotherapy
Alla Bulashevska, Zsófia Nacsa, Franziska Lang, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 5
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: 5
EPIC-TRACE: predicting TCR binding to unseen epitopes using attention and contextualized embeddings
Dani Korpela, Emmi Jokinen, Alexandru Dumitrescu, et al.
Bioinformatics (2023) Vol. 39, Iss. 12
Open Access | Times Cited: 12
Neoantigen cancer vaccines: a new star on the horizon
Xiaoling Li, Jian You, Liping Hong, et al.
Cancer Biology and Medicine (2023), pp. 1-38
Open Access | Times Cited: 12
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
Tαβ-Bphg: A Dual-Branch Heterogeneous Graph Neural Network for Tcrαβ-Peptide Binding Prediction
Yun Xie, Lin Tang, Guifei Zhou, et al.
(2025)
Closed Access
OnmiMHC: a machine learning solution for UCEC tumor vaccine development through enhanced peptide-MHC binding prediction
Fangfang Jian, Hao Cai, Qushuo Chen, et al.
Frontiers in Immunology (2025) Vol. 16
Open Access
Advances in Therapeutic Cancer Vaccines, Their Obstacles, and Prospects Toward Tumor Immunotherapy
Azadeh Eskandari, Thean Chor Leow, Mohd Basyaruddin Abdul Rahman, et al.
Molecular Biotechnology (2024)
Closed Access | Times Cited: 3
TSpred: a robust prediction framework for TCR–epitope interactions using paired chain TCR sequence data
Ha Young Kim, Sungsik Kim, Woong‐Yang Park, et al.
Bioinformatics (2024) Vol. 40, Iss. 8
Open Access | Times Cited: 3
TCR-H: explainable machine learning prediction of T-cell receptor epitope binding on unseen datasets
Rajitha Rajeshwar T., Omar Demerdash, Jeremy C. Smith
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 3
Improvement in neoantigen prediction via integration of RNA sequencing data for variant calling
Bui Que Tran Nguyen, Thi Tran, Huu Thinh Nguyen, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 7
Strategies to Overcome Hurdles in Cancer Immunotherapy
Ji‐Hyun Kim, B.J. Lee, Sehoon Moon, et al.
Biomaterials Research (2024) Vol. 28
Open Access | Times Cited: 2
Challenges and considerations in multi-epitope vaccine design surrounding toll-like receptors
Masaud Shah, Sobia Rafiq, Hyun Goo Woo
Trends in Pharmacological Sciences (2024)
Closed Access | Times Cited: 2
epiTCR-KDA: Knowledge Distillation model on Dihedral Angles for TCR-peptide prediction
My-Diem Nguyen Pham, Chinh Tran-To Su, Thanh-Nhan Nguyen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Development and Clinical Applications of Therapeutic Cancer Vaccines with Individualized and Shared Neoantigens
Qing Hao, Yuhang Long, Yi Yang, et al.
Vaccines (2024) Vol. 12, Iss. 7, pp. 717-717
Open Access | Times Cited: 1
Llama-TCR: Generate De Novo TCR with Large Language Model
Zhou Jun, Zhenhua Wu, Mengren Man, et al.
(2024), pp. 845-850
Closed Access | Times Cited: 1
TCRcost: a deep learning model utilizing TCR 3D structure for enhanced of TCR–peptide binding
Fan Li, Xinyang Qian, Xiaoyan Zhu, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 1
Benchmarking of T-Cell Receptor - Epitope Predictors with ePytope-TCR
Felix Drost, Anna Chernysheva, Mahmoud Albahah, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
TCR-H: Machine Learning Prediction of T-cell Receptor Epitope Binding on Unseen Datasets
Rajitha Rajeshwar T., Omar Demerdash, Jeremy C. Smith
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
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