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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 51-75 of 255 citing articles:

The Importance of Being Presented: Target Validation by Immunopeptidomics for Epitope-Specific Immunotherapies
Jonas P. Becker, Angelika B. Riemer
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 36
Sources of Cancer Neoantigens beyond Single-Nucleotide Variants
Aude-Hélène Capietto, Reyhane Hoshyar, Lélia Delamarre
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 17, pp. 10131-10131
Open Access | Times Cited: 30
Harnessing the power of artificial intelligence to advance cell therapy
Sara Capponi, Kyle G. Daniels
Immunological Reviews (2023) Vol. 320, Iss. 1, pp. 147-165
Open Access | Times Cited: 20
Contemplating immunopeptidomes to better predict them
David Gfeller, Yan Liu, Julien Racle
Seminars in Immunology (2023) Vol. 66, pp. 101708-101708
Open Access | Times Cited: 17
A microfluidics-enabled automated workflow of sample preparation for MS-based immunopeptidomics
Xiaokang Li, Hui Song Pak, Florian Huber, et al.
Cell Reports Methods (2023) Vol. 3, Iss. 6, pp. 100479-100479
Open Access | Times Cited: 17
HLA-II immunopeptidome profiling and deep learning reveal features of antigenicity to inform antigen discovery
Martin Stražar, Jihye Park, Jennifer G. Abelin, et al.
Immunity (2023) Vol. 56, Iss. 7, pp. 1681-1698.e13
Closed Access | Times Cited: 17
MHC II immunogenicity shapes the neoepitope landscape in human tumors
Jeong Yeon Kim, Hongui Cha, Kyeonghui Kim, et al.
Nature Genetics (2023) Vol. 55, Iss. 2, pp. 221-231
Closed Access | Times Cited: 16
Cancer neoepitopes viewed through negative selection and peripheral tolerance: a new path to cancer vaccines
Pramod K. Srivastava
Journal of Clinical Investigation (2024) Vol. 134, Iss. 5
Open Access | Times Cited: 7
Predictability of B cell clonal persistence and immunosurveillance in breast cancer
Stephen‐John Sammut, Jacob D. Galson, Ralph Minter, et al.
Nature Immunology (2024) Vol. 25, Iss. 5, pp. 916-924
Open Access | Times Cited: 7
TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning
Meng Wang, Chuqi Lei, Jianxin Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 6
Personalized cancer vaccine design using AI-powered technologies
Anant Kumar, Shriniket Dixit, Kathiravan Srinivasan, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 6
MHCII-peptide presentation: an assessment of the state-of-the-art prediction methods
Yaqing Yang, Zhonghui Wei, Gabriel Cia, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 5
Graph-pMHC: graph neural network approach to MHC class II peptide presentation and antibody immunogenicity
William John Thrift, Jason Perera, Sivan Cohen, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 5
A comprehensive proteogenomic pipeline for neoantigen discovery to advance personalized cancer immunotherapy
Florian Huber, Marion Arnaud, Brian J. Stevenson, et al.
Nature Biotechnology (2024)
Open Access | Times Cited: 5
A Phase I/II trial comparing autologous dendritic cell vaccine pulsed either with personalized peptides (PEP-DC) or with tumor lysate (OC-DC) in patients with advanced high-grade ovarian serous carcinoma
Apostolos Sarivalasis, Caroline Boudousquié, Klara Balint, et al.
Journal of Translational Medicine (2019) Vol. 17, Iss. 1
Open Access | Times Cited: 49
Repertoire-scale determination of class II MHC peptide binding via yeast display improves antigen prediction
C. Garrett Rappazzo, Brooke D. Huisman, Michael E. Birnbaum
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 47
Current and prospective computational approaches and challenges for developing COVID-19 vaccines
Woochang Hwang, Winnie Lei, Nicholas M. Katritsis, et al.
Advanced Drug Delivery Reviews (2021) Vol. 172, pp. 249-274
Open Access | Times Cited: 39
Personalized cancer vaccine strategy elicits polyfunctional T cells and demonstrates clinical benefits in ovarian cancer
János L. Tanyi, Cheryl Lai-Lai Chiang, Johanna Chiffelle, et al.
npj Vaccines (2021) Vol. 6, Iss. 1
Open Access | Times Cited: 38
Assay format diversity in pre-clinical immunogenicity risk assessment: Toward a possible harmonization of antigenicity assays
Axel Ducret, Chloé Ackaert, Juliana Bessa, et al.
mAbs (2021) Vol. 14, Iss. 1
Open Access | Times Cited: 36
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: 33
A core group of structurally similar HLA-DPB1 alleles drives permissiveness after hematopoietic cell transplantation
Esteban Arrieta‐Bolaños, Pietro Crivello, Meilun He, et al.
Blood (2022) Vol. 140, Iss. 6, pp. 659-663
Open Access | Times Cited: 25
The biogenesis of the immunopeptidome
Arie Admon
Seminars in Immunology (2023) Vol. 67, pp. 101766-101766
Open Access | Times Cited: 15
DeepNeo: a webserver for predicting immunogenic neoantigens
Jeong Yeon Kim, Hyoeun Bang, Seung-Jae Noh, et al.
Nucleic Acids Research (2023) Vol. 51, Iss. W1, pp. W134-W140
Open Access | Times Cited: 14
Antigen discovery for the development of cancer immunotherapy
Ryuhjin Ahn, Yufei Cui, Forest M. White
Seminars in Immunology (2023) Vol. 66, pp. 101733-101733
Open Access | Times Cited: 12
Artificial intelligence and neoantigens: paving the path for precision cancer immunotherapy
Alla Bulashevska, Zsófia Nacsa, Franziska Lang, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 4

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