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:

The SysteMHC Atlas project
Wenguang Shao, Patrick G. A. Pedrioli, Witold Wolski, et al.
Nucleic Acids Research (2017) Vol. 46, Iss. D1, pp. D1237-D1247
Open Access | Times Cited: 140

Showing 1-25 of 140 citing articles:

The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics
Eric W. Deutsch, Nuno Bandeira, Vagisha Sharma, et al.
Nucleic Acids Research (2019)
Open Access | Times Cited: 702

Noncoding regions are the main source of targetable tumor-specific antigens
Céline M. Laumont, Krystel Vincent, Leslie Hesnard, et al.
Science Translational Medicine (2018) Vol. 10, Iss. 470
Open Access | Times Cited: 443

The ProteomeXchange consortium at 10 years: 2023 update
Eric W. Deutsch, Nuno Bandeira, Yasset Pérez‐Riverol, et al.
Nucleic Acids Research (2022) Vol. 51, Iss. D1, pp. D1539-D1548
Open Access | Times Cited: 439

MHCflurry: Open-Source Class I MHC Binding Affinity Prediction
Timothy O’Donnell, Alex Rubinsteyn, Maria Bonsack, et al.
Cell Systems (2018) Vol. 7, Iss. 1, pp. 129-132.e4
Open Access | Times Cited: 365

Mass spectrometry–based identification of MHC-bound peptides for immunopeptidomics
Anthony W. Purcell, Sri H. Ramarathinam, Nicola Ternette
Nature Protocols (2019) Vol. 14, Iss. 6, pp. 1687-1707
Closed Access | Times Cited: 292

MHCflurry 2.0: Improved Pan-Allele Prediction of MHC Class I-Presented Peptides by Incorporating Antigen Processing
Timothy O’Donnell, Alex Rubinsteyn, Uri Laserson
Cell Systems (2020) Vol. 11, Iss. 1, pp. 42-48.e7
Open Access | Times Cited: 283

Predicting HLA class II antigen presentation through integrated deep learning
Binbin Chen, Michael S. Khodadoust, Niclas Olsson, et al.
Nature Biotechnology (2019) Vol. 37, Iss. 11, pp. 1332-1343
Open Access | Times Cited: 262

The emerging role of mass spectrometry-based proteomics in drug discovery
Felix Meissner, Jennifer Geddes‐McAlister, Matthias Mann, et al.
Nature Reviews Drug Discovery (2022) Vol. 21, Iss. 9, pp. 637-654
Closed Access | Times Cited: 224

T Cell Epitope Predictions
Bjoern Peters, Morten Nielsen, Alessandro Sette
Annual Review of Immunology (2020) Vol. 38, Iss. 1, pp. 123-145
Open Access | Times Cited: 212

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

Towards new horizons: characterization, classification and implications of the tumour antigenic repertoire
Sebastian P. Haen, Markus Löffler, Hans‐Georg Rammensee, et al.
Nature Reviews Clinical Oncology (2020) Vol. 17, Iss. 10, pp. 595-610
Open Access | Times Cited: 167

Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics
Mathias Wilhelm, Daniel P. Zolg, Michael Graber, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 149

Next-generation computational tools for interrogating cancer immunity
Francesca Finotello, Dietmar Rieder, Hubert Hackl, et al.
Nature Reviews Genetics (2019) Vol. 20, Iss. 12, pp. 724-746
Closed Access | Times Cited: 145

Targeting public neoantigens for cancer immunotherapy
Alexander H. Pearlman, Michael S. Hwang, Maximilian F. Konig, et al.
Nature Cancer (2021) Vol. 2, Iss. 5, pp. 487-497
Open Access | Times Cited: 127

Antigen presentation in cancer — mechanisms and clinical implications for immunotherapy
Kailin Yang, Ahmed Halima, Timothy A. Chan
Nature Reviews Clinical Oncology (2023) Vol. 20, Iss. 9, pp. 604-623
Closed Access | Times Cited: 103

Malaria prevention: from immunological concepts to effective vaccines and protective antibodies
Ian A. Cockburn, Robert A. Seder
Nature Immunology (2018) Vol. 19, Iss. 11, pp. 1199-1211
Open Access | Times Cited: 154

Predicting Antigen Presentation—What Could We Learn From a Million Peptides?
David Gfeller, Michal Bassani‐Sternberg
Frontiers in Immunology (2018) Vol. 9
Open Access | Times Cited: 152

Deep Learning in Proteomics
Bo Wen, Wen‐Feng Zeng, Yuxing Liao, et al.
PROTEOMICS (2020) Vol. 20, Iss. 21-22
Open Access | Times Cited: 127

Multi-omics discovery of exome-derived neoantigens in hepatocellular carcinoma
Markus Löffler, Christopher Mohr, Leon Bichmann, et al.
Genome Medicine (2019) Vol. 11, Iss. 1
Open Access | Times Cited: 119

Mapping the tumour human leukocyte antigen (HLA) ligandome by mass spectrometry
Lena Katharina Freudenmann, Ana Marcu, Stefan Stevanović
Immunology (2018) Vol. 154, Iss. 3, pp. 331-345
Open Access | Times Cited: 104

RETRACTED ARTICLE: Cross-HLA targeting of intracellular oncoproteins with peptide-centric CARs
Mark Yarmarkovich, Quinlen F. Marshall, John M. Warrington, et al.
Nature (2021) Vol. 599, Iss. 7885, pp. 477-484
Open Access | Times Cited: 94

The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases
Juan Antonio Vizcaíno, Peter Kubiniok, Kevin A. Kovalchik, et al.
Molecular & Cellular Proteomics (2019) Vol. 19, Iss. 1, pp. 31-49
Open Access | Times Cited: 90

Beneficial autoimmunity improves cancer prognosis
Laurence Zitvogel, Claude Perreault, Olivera J. Finn, et al.
Nature Reviews Clinical Oncology (2021) Vol. 18, Iss. 9, pp. 591-602
Open Access | Times Cited: 80

Atypical acute myeloid leukemia-specific transcripts generate shared and immunogenic MHC class-I-associated epitopes
Grégory Ehx, Jean‐David Larouche, Chantal Durette, et al.
Immunity (2021) Vol. 54, Iss. 4, pp. 737-752.e10
Open Access | Times Cited: 79

Sensitive Immunopeptidomics by Leveraging Available Large-Scale Multi-HLA Spectral Libraries, Data-Independent Acquisition, and MS/MS Prediction
HuiSong Pak, Justine Michaux, Florian Huber, et al.
Molecular & Cellular Proteomics (2021) Vol. 20, pp. 100080-100080
Open Access | Times Cited: 70

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