Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Employing proteomics in the study of antigen presentation: an update
Sri H. Ramarathinam, Nathan P. Croft, Patricia T. Illing, et al.
Expert Review of Proteomics (2018) Vol. 15, Iss. 8, pp. 637-645
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction
Shutao Mei, Fuyi Li, André Leier, et al.
Briefings in Bioinformatics (2019) Vol. 21, Iss. 4, pp. 1119-1135
Open Access | Times Cited: 153
Thunder-DDA-PASEF enables high-coverage immunopeptidomics and is boosted by MS2Rescore with MS2PIP timsTOF fragmentation prediction model
David Gomez‐Zepeda, Danielle Arnold-Schild, Julian Beyrle, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 17
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: 93
Post-translational modifications reshape the antigenic landscape of the MHC I immunopeptidome in tumors
Assaf Kacen, Aaron Javitt, Matthias P. Kramer, et al.
Nature Biotechnology (2022) Vol. 41, Iss. 2, pp. 239-251
Closed Access | Times Cited: 65
Anthem: a user customised tool for fast and accurate prediction of binding between peptides and HLA class I molecules
Shutao Mei, Fuyi Li, Dongxu Xiang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 5
Closed Access | Times Cited: 50
The Evolving Landscape of Autoantigen Discovery and Characterization in Type 1 Diabetes
Anthony W. Purcell, Salvatore Sechi, Teresa P. DiLorenzo
Diabetes (2019) Vol. 68, Iss. 5, pp. 879-886
Open Access | Times Cited: 51
Neoepitopes in Type 1 Diabetes: Etiological Insights, Biomarkers and Therapeutic Targets
Teresa Rodríguez-Calvo, James D. Johnson, Lut Overbergh, et al.
Frontiers in Immunology (2021) Vol. 12
Open Access | Times Cited: 38
The biogenesis of the immunopeptidome
Arie Admon
Seminars in Immunology (2023) Vol. 67, pp. 101766-101766
Open Access | Times Cited: 15
IDENTIFICATION OF MHC PEPTIDES USING MASS SPECTROMETRY FOR NEOANTIGEN DISCOVERY AND CANCER VACCINE DEVELOPMENT
Rui Chen, Kelly M. Fulton, Susan M. Twine, et al.
Mass Spectrometry Reviews (2019) Vol. 40, Iss. 2, pp. 110-125
Closed Access | Times Cited: 31
A comprehensive assessment and comparison of tools for HLA class I peptide-binding prediction
Meng Wang, Lukasz Kurgan, Min Li
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 9
Machine learning‐based peptide‐spectrum match rescoring opens up the immunopeptidome
Charlotte Adams, Kris Laukens, Wout Bittremieux, et al.
PROTEOMICS (2023) Vol. 24, Iss. 8
Open Access | Times Cited: 9
Ionizing Radiation Drives Key Regulators of Antigen Presentation and a Global Expansion of the Immunopeptidome
Arun Tailor, Hala Estephan, Robert Parker, et al.
Molecular & Cellular Proteomics (2022) Vol. 21, Iss. 11, pp. 100410-100410
Open Access | Times Cited: 14
A Chemical Approach to Assess the Impact of Post-translational Modification on MHC Peptide Binding and Effector Cell Engagement
Joey J. Kelly, Nathaniel Bloodworth, Qianqian Shao, et al.
ACS Chemical Biology (2024) Vol. 19, Iss. 9, pp. 1991-2001
Open Access | Times Cited: 2
In-depth mining of the immunopeptidome of an acute myeloid leukemia cell line using complementary ligand enrichment and data acquisition strategies
Kirti Pandey, Nicole A. Mifsud, Terry C.C. Lim Kam Sian, et al.
Molecular Immunology (2020) Vol. 123, pp. 7-17
Closed Access | Times Cited: 20
APEX-pHLA: A novel method for accurate prediction of the binding between exogenous short peptides and HLA class I molecules
Zhihao Su, Yejian Wu, Kaiqiang Cao, et al.
Methods (2024) Vol. 228, pp. 38-47
Closed Access | Times Cited: 2
Thunder-DDA-PASEF enables high-coverage immunopeptidomics and identifies HLA class-I presented SarsCov-2 spike protein epitopes
David Gomez‐Zepeda, Danielle Arnold-Schild, Julian Beyrle, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 4
A peptide-signal amplification strategy for the detection and validation of neoepitope presentation on cancer biopsies
Sri H. Ramarathinam, Pouya Faridi, Angela Peng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 10
Unbiased Characterization of Peptide-HLA Class II Interactions Based on Large-Scale Peptide Microarrays; Assessment of the Impact on HLA Class II Ligand and Epitope Prediction
Mareike Wendorff, Heli M. Garcia Alvarez, Thomas Østerbye, et al.
Frontiers in Immunology (2020) Vol. 11
Open Access | Times Cited: 10
CcBHLA: pan-specific peptide–HLA class I binding prediction via Convolutional and BiLSTM features
Yejian Wu, Lujing Cao, Zhipeng Wu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Peptide Presentation to T Cells: Solving the Immunogenic Puzzle
Nathan P. Croft
BioEssays (2020) Vol. 42, Iss. 3
Closed Access | Times Cited: 5
Uncovering the modified immunopeptidome reveals insights into principles of PTM-driven antigenicity
Assaf Kacen, Aaron Javitt, Matthias P. Kramer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 5
Predicting Peptide HLA-II Presentation Using Immunopeptidomics, Transcriptomics and Deep Multimodal Learning
Hesham ElAbd, Mareike Wendorff, Tomas Koudelka, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
Machine learning-based peptide-spectrum match rescoring opens up the immunopeptidome
Charlotte Adams, Kris Laukens, Wout Bittremieux, et al.
(2023)
Open Access | Times Cited: 1
“Omics” approaches to determine protease degradomes in complex biological matrices
Maithreyan Kuppusamy, Pitter F. Huesgen
Elsevier eBooks (2021), pp. 209-228
Closed Access | Times Cited: 1
Impact of Post-Translational Modification on MHC Peptide Binding and TCR Engagement
Joey J. Kelly, Nathaniel Bloodworth, Qianqian Shao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Page 1 - Next Page

Scroll to top