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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:

Robust prediction of HLA class II epitopes by deep motif deconvolution of immunopeptidomes
Julien Racle, Justine Michaux, Georg Alexander Rockinger, et al.
Nature Biotechnology (2019) Vol. 37, Iss. 11, pp. 1283-1286
Open Access | Times Cited: 255

Showing 1-25 of 255 citing articles:

NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data
Birkir Reynisson, Bruno Alvarez, Sinu Paul, et al.
Nucleic Acids Research (2020) Vol. 48, Iss. W1, pp. W449-W454
Open Access | Times Cited: 1508
Advances in the development of personalized neoantigen-based therapeutic cancer vaccines
Eryn Blass, Patrick A. Ott
Nature Reviews Clinical Oncology (2021) Vol. 18, Iss. 4, pp. 215-229
Open Access | Times Cited: 721
Neoantigens: promising targets for cancer therapy
Na Xie, Guobo Shen, Wei Gao, et al.
Signal Transduction and Targeted Therapy (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 417
Improved Prediction of MHC II Antigen Presentation through Integration and Motif Deconvolution of Mass Spectrometry MHC Eluted Ligand Data
Birkir Reynisson, Carolina Barra, Saghar Kaabinejadian, et al.
Journal of Proteome Research (2020) Vol. 19, Iss. 6, pp. 2304-2315
Open Access | Times Cited: 357
Identification of neoantigens for individualized therapeutic cancer vaccines
Franziska Lang, Barbara Schrörs, Martin Löwer, et al.
Nature Reviews Drug Discovery (2022) Vol. 21, Iss. 4, pp. 261-282
Open Access | Times Cited: 313
Fast Quantitative Analysis of timsTOF PASEF Data with MSFragger and IonQuant
Fengchao Yu, Sarah E. Haynes, Guo Ci Teo, et al.
Molecular & Cellular Proteomics (2020) Vol. 19, Iss. 9, pp. 1575-1585
Open Access | Times Cited: 243
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: 225
Promises and challenges of adoptive T-cell therapies for solid tumours
Matteo Morotti, Ashwag Albukhari, Abdulkhaliq Alsaadi, et al.
British Journal of Cancer (2021) Vol. 124, Iss. 11, pp. 1759-1776
Open Access | Times Cited: 196
HLA Ligand Atlas: a benign reference of HLA-presented peptides to improve T-cell-based cancer immunotherapy
Ana Marcu, Leon Bichmann, Lèon Kuchenbecker, et al.
Journal for ImmunoTherapy of Cancer (2021) Vol. 9, Iss. 4, pp. e002071-e002071
Open Access | Times Cited: 174
Machine Learning for Lung Cancer Diagnosis, Treatment, and Prognosis
Yawei Li, Wu Xin, Ping Yang, et al.
Genomics Proteomics & Bioinformatics (2022) Vol. 20, Iss. 5, pp. 850-866
Open Access | Times Cited: 93
Evolutionary origins and interactomes of human, young microproteins and small peptides translated from short open reading frames
Clara-Louisa Sandmann, Jana Felicitas Schulz, Jorge Ruiz‐Orera, et al.
Molecular Cell (2023) Vol. 83, Iss. 6, pp. 994-1011.e18
Open Access | Times Cited: 85
MS2Rescore: Data-Driven Rescoring Dramatically Boosts Immunopeptide Identification Rates
Arthur Declercq, Robbin Bouwmeester, Aurélie Hirschler, et al.
Molecular & Cellular Proteomics (2022) Vol. 21, Iss. 8, pp. 100266-100266
Open Access | Times Cited: 79
Artificial Intelligence-Based Data-Driven Strategy to Accelerate Research, Development, and Clinical Trials of COVID Vaccine
Ashwani Sharma, Tarun Virmani, Vipluv Pathak, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 75
Machine learning for functional protein design
Pascal Notin, Nathan Rollins, Yarin Gal, et al.
Nature Biotechnology (2024) Vol. 42, Iss. 2, pp. 216-228
Closed Access | Times Cited: 75
Challenges in neoantigen-directed therapeutics
Lien Lybaert, Steve Lefever, Bruno Fant, et al.
Cancer Cell (2022) Vol. 41, Iss. 1, pp. 15-40
Open Access | Times Cited: 70
Machine learning predictions of MHC-II specificities reveal alternative binding mode of class II epitopes
Julien Racle, Philippe Guillaume, Julien Schmidt, et al.
Immunity (2023) Vol. 56, Iss. 6, pp. 1359-1375.e13
Open Access | Times Cited: 60
The immunopeptidome landscape associated with T cell infiltration, inflammation and immune editing in lung cancer
Anne I. Kraemer, Chloé Chong, Florian Huber, et al.
Nature Cancer (2023) Vol. 4, Iss. 5, pp. 608-628
Open Access | Times Cited: 48
The impact of immunopeptidomics: From basic research to clinical implementation
Ilja E. Shapiro, Michal Bassani‐Sternberg
Seminars in Immunology (2023) Vol. 66, pp. 101727-101727
Open Access | Times Cited: 47
What Can Ribo-Seq, Immunopeptidomics, and Proteomics Tell Us About the Noncanonical Proteome?
John R. Prensner, Jennifer G. Abelin, Leron W. Kok, et al.
Molecular & Cellular Proteomics (2023) Vol. 22, Iss. 9, pp. 100631-100631
Open Access | Times Cited: 43
Development and use of machine learning algorithms in vaccine target selection
Barbara Bravi
npj Vaccines (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 29
Reducing Immunogenicity by Design: Approaches to Minimize Immunogenicity of Monoclonal Antibodies
Chantal T. Harris, Sivan Cohen
BioDrugs (2024) Vol. 38, Iss. 2, pp. 205-226
Open Access | Times Cited: 21
Informing immunotherapy with multi-omics driven machine learning
Yawei Li, Wu Xin, Deyu Fang, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 19
TransHLA: a Hybrid Transformer model for HLA-presented epitope detection
Tianchi Lu, Xueying Wang, Wan Nie, et al.
GigaScience (2025) Vol. 14
Open Access | Times Cited: 1
Immunopeptidomics of colorectal cancer organoids reveals a sparse HLA class I neoantigen landscape and no increase in neoantigens with interferon or MEK-inhibitor treatment
Alice Newey, B Griffiths, Justine Michaux, et al.
Journal for ImmunoTherapy of Cancer (2019) Vol. 7, Iss. 1
Open Access | Times Cited: 125
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: 125
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