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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:

Augmenting adaptive immunity: progress and challenges in the quantitative engineering and analysis of adaptive immune receptor repertoires
Alexander J. Brown, Igor Snapkov, Rahmad Akbar, et al.
Molecular Systems Design & Engineering (2019) Vol. 4, Iss. 4, pp. 701-736
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Computational approaches to therapeutic antibody design: established methods and emerging trends
Richard A. Norman, Francesco Ambrosetti, Alexandre M. J. J. Bonvin, et al.
Briefings in Bioinformatics (2019) Vol. 21, Iss. 5, pp. 1549-1567
Open Access | Times Cited: 175
ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins
Brennan Abanades, Wing Ki Wong, Fergus Boyles, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 163
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
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
Modern Hopfield Networks and Attention for Immune Repertoire Classification
Michael Widrich, Bernhard Schäfl, Milena Pavlović, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 88
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
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
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
immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking
Cédric R. Weber, Rahmad Akbar, Alexander Yermanos, et al.
Bioinformatics (2020) Vol. 36, Iss. 11, pp. 3594-3596
Open Access | Times Cited: 64
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
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
Platypus: an open-access software for integrating lymphocyte single-cell immune repertoires with transcriptomes
Alexander Yermanos, Andreas Agrafiotis, Raphael Kuhn, et al.
NAR Genomics and Bioinformatics (2021) Vol. 3, Iss. 2
Open Access | Times Cited: 40
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
Applications of Machine and Deep Learning in Adaptive Immunity
Margarita Pertseva, Beichen Gao, Daniel Neumeier, et al.
Annual Review of Chemical and Biomolecular Engineering (2021) Vol. 12, Iss. 1, pp. 39-62
Open Access | Times Cited: 35
FIPRESCI: droplet microfluidics based combinatorial indexing for massive-scale 5′-end single-cell RNA sequencing
Yun Li, Zheng Huang, Zhaojun Zhang, et al.
Genome biology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 14
Human Regulatory T Cells From Umbilical Cord Blood Display Increased Repertoire Diversity and Lineage Stability Relative to Adult Peripheral Blood
Keshav Motwani, Leeana D. Peters, Willem H. Vliegen, et al.
Frontiers in Immunology (2020) Vol. 11
Open Access | Times Cited: 38
Polymorphisms in human immunoglobulin heavy chain variable genes and their upstream regions
Ivana Mikocziova, Moriah Gidoni, Ida Lindeman, et al.
Nucleic Acids Research (2020) Vol. 48, Iss. 10, pp. 5499-5510
Open Access | Times Cited: 37
The TCR Repertoire Reconstitution in Multiple Sclerosis: Comparing One-Shot and Continuous Immunosuppressive Therapies
Roberta Amoriello, Victor Greiff, Alessandra Aldinucci, et al.
Frontiers in Immunology (2020) Vol. 11
Open Access | Times Cited: 33
Modeling the Dynamics of T-Cell Development in the Thymus
Philippe A. Robert, Heike Kunze‐Schumacher, Victor Greiff, et al.
Entropy (2021) Vol. 23, Iss. 4, pp. 437-437
Open Access | Times Cited: 28
ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins
Brennan Abanades, Wing Ki Wong, Fergus Boyles, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 21
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
Innovations in vaccine design: Computational tools and techniques
Raja Nag, Sanchita Srivastava, Saliha Rizvi, et al.
Advances in pharmacology (2025)
Closed Access
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