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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:

De novo prediction of cancer-associated T cell receptors for noninvasive cancer detection
Daria Beshnova, Jianfeng Ye, Oreoluwa Onabolu, et al.
Science Translational Medicine (2020) Vol. 12, Iss. 557
Open Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment
Kyle Swanson, Eric Q. Wu, Angela Zhang, et al.
Cell (2023) Vol. 186, Iss. 8, pp. 1772-1791
Closed Access | Times Cited: 263
Big data in basic and translational cancer research
Peng Jiang, Sanju Sinha, Kenneth Aldape, et al.
Nature reviews. Cancer (2022) Vol. 22, Iss. 11, pp. 625-639
Open Access | Times Cited: 158
Circulating cell-free DNA for cancer early detection
Qiang Gao, Qiang Zeng, Zhijie Wang, et al.
The Innovation (2022) Vol. 3, Iss. 4, pp. 100259-100259
Open Access | Times Cited: 121
Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer
Ruoyan Li, John R. Ferdinand, Kevin W. Loudon, et al.
Cancer Cell (2022) Vol. 40, Iss. 12, pp. 1583-1599.e10
Open Access | Times Cited: 115
Mining adaptive immune receptor repertoires for biological and clinical information using machine learning
Victor Greiff, Gur Yaari, Lindsay G. Cowell
Current Opinion in Systems Biology (2020) Vol. 24, pp. 109-119
Open Access | Times Cited: 84
GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation
Hongyi Zhang, Xiaowei Zhan, Bo Li
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 73
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
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
TCR-sequencing in cancer and autoimmunity: barcodes and beyond
Kristen E. Pauken, Kaitlyn A. Lagattuta, Benjamin Y. Lu, et al.
Trends in Immunology (2022) Vol. 43, Iss. 3, pp. 180-194
Open Access | Times Cited: 36
Regulatory T cell-based therapy in type 1 diabetes: Latest breakthroughs and evidence
Qiongxiao Huang, Jing Zhu
International Immunopharmacology (2024) Vol. 140, pp. 112724-112724
Closed Access | Times Cited: 6
Microfluidic biosensors for biomarker detection in body fluids: a key approach for early cancer diagnosis
Zhiting Liu, Yingyu Zhou, Jia Lü, et al.
Biomarker Research (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 6
Use of machine learning to identify a T cell response to SARS-CoV-2
M. Saad Shoukat, Andrew D. Foers, Stephen Woodmansey, et al.
Cell Reports Medicine (2021) Vol. 2, Iss. 2, pp. 100192-100192
Open Access | Times Cited: 34
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
BertTCR: a Bert-based deep learning framework for predicting cancer-related immune status based on T cell receptor repertoire.
Min Zhang, Qi Cheng, Zhenyu Wei, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 5
Using the T Cell Receptor as a Biomarker in Type 1 Diabetes
Maki Nakayama, Aaron W. Michels
Frontiers in Immunology (2021) Vol. 12
Open Access | Times Cited: 31
Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification
Chakravarthi Kanduri, Milena Pavlović, Lonneke Scheffer, et al.
GigaScience (2022) Vol. 11
Open Access | Times Cited: 19
Quantifiable TCR repertoire changes in prediagnostic blood specimens among patients with high-grade ovarian cancer
Xuexin Yu, Mingyao Pan, Jianfeng Ye, et al.
Cell Reports Medicine (2024) Vol. 5, Iss. 7, pp. 101612-101612
Open Access | Times Cited: 4
Deep learning-based prediction of autoimmune diseases
Donghong Yang, Xin Peng, Senlin Zheng, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
EpicPred: Predicting phenotypes driven by epitope binding TCRs using attention-based multiple instance learning
Jaemin Jeon, Suwan Yu, Sangam Lee, et al.
Bioinformatics (2025) Vol. 41, Iss. 3
Open Access
Application of Immune Repertoire Analysis in Differentiating Thyroid Cancer and Large Benign Thyroid Nodules
Jun Zhu, Xu Zhang, Xiangqing Zhu, et al.
Advanced Biology (2025)
Closed Access
Age-dependent cytokine surge in blood precedes cancer diagnosis
Guangbo Chen, Azam Mohsin, Hong Zheng, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 12
Open Access
T-cell receptor dynamics in digestive system cancers: a multi-layer machine learning approach for tumor diagnosis and staging
Changjin Yuan, Bin Wang, Hong Wang, et al.
Frontiers in Immunology (2025) Vol. 16
Open Access
Deep learning approaches for differentiating thyroid nodules with calcification: a two-center study
Chen Chen, Yuanzhen Liu, Jincao Yao, et al.
BMC Cancer (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 10
The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Yideng Cai, Meng Luo, Wenyi Yang, et al.
Cancer Research (2024) Vol. 84, Iss. 11, pp. 1915-1928
Closed Access | Times Cited: 3
A comparative study of multiple instance learning methods for cancer detection using T-cell receptor sequences
Danyi Xiong, Ze Zhang, Tao Wang, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 3255-3268
Open Access | Times Cited: 22
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