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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:

Defining and Studying B Cell Receptor and TCR Interactions
C. Garrett Rappazzo, Monica L. Fernández‐Quintero, Andreas Mayer, et al.
The Journal of Immunology (2023) Vol. 211, Iss. 3, pp. 311-322
Closed Access | Times Cited: 12

Showing 12 citing articles:

The Role of Force Fields and Water Models in Protein Folding and Unfolding Dynamics
Anna-Lena M. Fischer, Anna Tichy, Janik Kokot, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 5, pp. 2321-2333
Open Access | Times Cited: 13
Adaptive immune receptor repertoire analysis
Vanessa Mhanna, Habib Bashour, Khang Lê Quý, et al.
Nature Reviews Methods Primers (2024) Vol. 4, Iss. 1
Closed Access | Times Cited: 12
Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics
Milena Pavlović, Ghadi S. Al Hajj, Chakravarthi Kanduri, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 1, pp. 15-24
Closed Access | Times Cited: 11
An explainable language model for antibody specificity prediction using curated influenza hemagglutinin antibodies
Yiquan Wang, Huibin Lv, Qi Wen Teo, et al.
Immunity (2024) Vol. 57, Iss. 10, pp. 2453-2465.e7
Open Access | Times Cited: 9
Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning
Maria Chernigovskaya, Milena Pavlović, Chakravarthi Kanduri, et al.
Nucleic Acids Research (2025) Vol. 53, Iss. 3
Open Access
Prediction of polyspecificity from antibody sequence data by machine learning
Szabolcs Éliás, Clemens Wrzodek, Charlotte M. Deane, et al.
Frontiers in Bioinformatics (2024) Vol. 3
Open Access | Times Cited: 2
Linguistics-based formalization of the antibody language as a basis for antibody language models
Mai Ha Vu, Philippe A. Robert, Rahmad Akbar, et al.
Nature Computational Science (2024) Vol. 4, Iss. 6, pp. 412-422
Closed Access | Times Cited: 2
Structure and Dynamics Guiding Design of Antibody Therapeutics and Vaccines
Monica L. Fernández‐Quintero, Nancy D. Pomarici, Anna-Lena M. Fischer, et al.
Antibodies (2023) Vol. 12, Iss. 4, pp. 67-67
Open Access | Times Cited: 5
Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning
Maria Chernigovskaya, Milena Pavlović, Chakravarthi Kanduri, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Force in Immunology: There Is Often a Catch
Brian D. Evavold
The Journal of Immunology (2023) Vol. 211, Iss. 3, pp. 307-307
Closed Access | Times Cited: 2
Is the exquisite specificity of lymphocytes generated by thymic selection or due to evolution?
Rob J. de Boer, Can Keşmir, Alan S. Perelson, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access
Editorial: Structural modeling and computational analyses of immune system molecules
Dinler A. Antunes, Clara T. Schoeder, Minkyung Baek, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access
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