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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:

High-throughput determination of the antigen specificities of T cell receptors in single cells
Shu-Qi Zhang, Ke-Yue Ma, Alexandra A. Schonnesen, et al.
Nature Biotechnology (2018) Vol. 36, Iss. 12, pp. 1156-1159
Open Access | Times Cited: 169

Showing 1-25 of 169 citing articles:

Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)
Andrea Cossarizza, Hyun‐Dong Chang, Andreas Radbruch, et al.
European Journal of Immunology (2019) Vol. 49, Iss. 10, pp. 1457-1973
Open Access | Times Cited: 876
Best practices for single-cell analysis across modalities
Lukas Heumos, Anna C. Schaar, Christopher Lance, et al.
Nature Reviews Genetics (2023) Vol. 24, Iss. 8, pp. 550-572
Open Access | Times Cited: 513
Analyzing the Mycobacterium tuberculosis immune response by T-cell receptor clustering with GLIPH2 and genome-wide antigen screening
Huang Huang, Chunlin Wang, Florian Rubelt, et al.
Nature Biotechnology (2020) Vol. 38, Iss. 10, pp. 1194-1202
Open Access | Times Cited: 364
T cells in health and disease
Lina Sun, Yanhong Su, Anjun Jiao, et al.
Signal Transduction and Targeted Therapy (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 359
Combinatorial single-cell CRISPR screens by direct guide RNA capture and targeted sequencing
Joseph M. Replogle, Thomas M. Norman, Albert Xu, et al.
Nature Biotechnology (2020) Vol. 38, Iss. 8, pp. 954-961
Open Access | Times Cited: 325
Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition)
Andrea Cossarizza, Hyun‐Dong Chang, Andreas Radbruch, et al.
European Journal of Immunology (2021) Vol. 51, Iss. 12, pp. 2708-3145
Open Access | Times Cited: 315
High-Throughput Mapping of B Cell Receptor Sequences to Antigen Specificity
Ian Setliff, Andrea R. Shiakolas, Kelsey A. Pilewski, et al.
Cell (2019) Vol. 179, Iss. 7, pp. 1636-1646.e15
Open Access | Times Cited: 275
Dynamics and specificities of T cells in cancer immunotherapy
Giacomo Oliveira, Catherine J. Wu
Nature reviews. Cancer (2023) Vol. 23, Iss. 5, pp. 295-316
Closed Access | Times Cited: 240
Antitumour dendritic cell vaccination in a priming and boosting approach
Alexandre Harari, Michele Graciotti, Michal Bassani‐Sternberg, et al.
Nature Reviews Drug Discovery (2020) Vol. 19, Iss. 9, pp. 635-652
Closed Access | Times Cited: 229
Alternative mRNA splicing in cancer immunotherapy
Luke Frankiw, David Baltimore, Guideng Li
Nature reviews. Immunology (2019) Vol. 19, Iss. 11, pp. 675-687
Closed Access | Times Cited: 218
Applying high-dimensional single-cell technologies to the analysis of cancer immunotherapy
Satyen H. Gohil, J. Bryan Iorgulescu, David A. Braun, et al.
Nature Reviews Clinical Oncology (2020) Vol. 18, Iss. 4, pp. 244-256
Open Access | Times Cited: 211
TCR-engineered T cell therapy in solid tumors: State of the art and perspectives
Estelle Baulu, Célia Gardet, Nicolas Chuvin, et al.
Science Advances (2023) Vol. 9, Iss. 7
Open Access | Times Cited: 207
High-throughput and single-cell T cell receptor sequencing technologies
Joy A. Pai, Ansuman T. Satpathy
Nature Methods (2021) Vol. 18, Iss. 8, pp. 881-892
Open Access | Times Cited: 204
T-Scan: A Genome-wide Method for the Systematic Discovery of T Cell Epitopes
Tomasz Kula, M Dezfulian, Charlotte I. Wang, et al.
Cell (2019) Vol. 178, Iss. 4, pp. 1016-1028.e13
Open Access | Times Cited: 202
Deep learning-based prediction of the T cell receptor–antigen binding specificity
Tianshi Lu, Ze Zhang, James Zhu, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 10, pp. 864-875
Open Access | Times Cited: 184
Prediction of Specific TCR-Peptide Binding From Large Dictionaries of TCR-Peptide Pairs
Ido Springer, Hanan Besser, Nili Tickotsky, et al.
Frontiers in Immunology (2020) Vol. 11
Open Access | Times Cited: 157
Targeting public neoantigens for cancer immunotherapy
Alexander H. Pearlman, Michael S. Hwang, Maximilian F. Konig, et al.
Nature Cancer (2021) Vol. 2, Iss. 5, pp. 487-497
Open Access | Times Cited: 130
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
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
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
T cell receptor therapeutics: immunological targeting of the intracellular cancer proteome
Christopher A. Klebanoff, Smita S. Chandran, Brian M. Baker, et al.
Nature Reviews Drug Discovery (2023) Vol. 22, Iss. 12, pp. 996-1017
Open Access | Times Cited: 65
Acoustic tweezers for high-throughput single-cell analysis
Shujie Yang, Joseph Rufo, Ruoyu Zhong, et al.
Nature Protocols (2023) Vol. 18, Iss. 8, pp. 2441-2458
Open Access | Times Cited: 42
Single-cell sequencing to multi-omics: technologies and applications
Xiangyu Wu, Xin Yang, Yunhan Dai, et al.
Biomarker Research (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 21
Implications of antibody-dependent enhancement of infection for SARS-CoV-2 countermeasures
Nikolai Eroshenko, Taylor Gill, Marianna K. Keaveney, et al.
Nature Biotechnology (2020) Vol. 38, Iss. 7, pp. 789-791
Open Access | Times Cited: 128
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