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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:

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

Showing 1-25 of 84 citing articles:

A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding
Rahmad Akbar, Philippe A. Robert, Milena Pavlović, et al.
Cell Reports (2021) Vol. 34, Iss. 11, pp. 108856-108856
Open Access | Times Cited: 142
Animal Immunization, in Vitro Display Technologies, and Machine Learning for Antibody Discovery
Andreas H. Laustsen, Victor Greiff, Aneesh Karatt-Vellatt, et al.
Trends in biotechnology (2021) Vol. 39, Iss. 12, pp. 1263-1273
Open Access | Times Cited: 111
Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
Rahmad Akbar, Habib Bashour, Puneet Rawat, et al.
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 82
In silico proof of principle of machine learning-based antibody design at unconstrained scale
Rahmad Akbar, Philippe A. Robert, Cédric R. Weber, et al.
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 75
Genetic variation in the immunoglobulin heavy chain locus shapes the human antibody repertoire
Oscar L. Rodriguez, Yana Safonova, Catherine A. Silver, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 52
Disease diagnostics using machine learning of B cell and T cell receptor sequences
Maxim Zaslavsky, Erin Craig, Jackson Michuda, et al.
Science (2025) Vol. 387, Iss. 6736
Closed Access | Times Cited: 3
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
Diversity in immunogenomics: the value and the challenge
Kerui Peng, Yana Safonova, Mikhail Shugay, et al.
Nature Methods (2021) Vol. 18, Iss. 6, pp. 588-591
Open Access | Times Cited: 59
The evolutionary and functional significance of germline immunoglobulin gene variation
Matt Pennell, Oscar L. Rodriguez, Corey T. Watson, et al.
Trends in Immunology (2022) Vol. 44, Iss. 1, pp. 7-21
Open Access | Times Cited: 40
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
Large language models in bioinformatics: applications and perspectives
Jiajia Liu, Mengyuan Yang, Yankai Yu, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 10
Leveraging Artificial Intelligence to Expedite Antibody Design and Enhance Antibody–Antigen Interactions
Doo Nam Kim, Andrew McNaughton, Neeraj Kumar
Bioengineering (2024) Vol. 11, Iss. 2, pp. 185-185
Open Access | Times Cited: 10
Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction
Philippe A. Robert, Rahmad Akbar, Robert Frank, et al.
Nature Computational Science (2022) Vol. 2, Iss. 12, pp. 845-865
Open Access | Times Cited: 35
On Pre-trained Language Models for Antibody
Danqing Wang, Fei Ye, Hao Zhou
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 17
The dengue-specific immune response and antibody identification with machine learning
Eriberto Noel Natali, A. J. van der Horst, Patrick Meier, et al.
npj Vaccines (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 7
Machine Learning Analysis of Naïve B-Cell Receptor Repertoires Stratifies Celiac Disease Patients and Controls
Or Shemesh, Pazit Polak, Knut E.A. Lundin, et al.
Frontiers in Immunology (2021) Vol. 12
Open Access | Times Cited: 37
Progress and challenges in mass spectrometry-based analysis of antibody repertoires
Igor Snapkov, Maria Chernigovskaya, Pavel Sinitcyn, et al.
Trends in biotechnology (2021) Vol. 40, Iss. 4, pp. 463-481
Open Access | Times Cited: 37
Immune2vec: Embedding B/T Cell Receptor Sequences in ℝN Using Natural Language Processing
Miri Ostrovsky-Berman, Boaz Frankel, Pazit Polak, et al.
Frontiers in Immunology (2021) Vol. 12
Open Access | Times Cited: 35
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
Training data composition determines machine learning generalization and biological rule discovery
Eugen Ursu, Aygul R. Minnegalieva, Puneet Rawat, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 5
Individualized VDJ recombination predisposes the available Ig sequence space
Andrei Slabodkin, Maria Chernigovskaya, Ivana Mikocziova, et al.
Genome Research (2021) Vol. 31, Iss. 12, pp. 2209-2224
Open Access | Times Cited: 32
Extended plasma half-life of albumin-binding domain fused human IgA upon pH-dependent albumin engagement of human FcRnin vitroandin vivo
Simone Mester, Mitchell Evers, Saskia Meyer, et al.
mAbs (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 27
Machine Learning Approaches to TCR Repertoire Analysis
Yotaro Katayama, Ryo Yokota, Taishin Akiyama, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 21
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
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