John Sidney

50.0k total citations · 17 hit papers
387 papers, 33.1k citations indexed

About

John Sidney is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, John Sidney has authored 387 papers receiving a total of 33.1k indexed citations (citations by other indexed papers that have themselves been cited), including 267 papers in Immunology, 161 papers in Molecular Biology and 78 papers in Virology. Recurrent topics in John Sidney's work include Immunotherapy and Immune Responses (182 papers), vaccines and immunoinformatics approaches (145 papers) and T-cell and B-cell Immunology (121 papers). John Sidney is often cited by papers focused on Immunotherapy and Immune Responses (182 papers), vaccines and immunoinformatics approaches (145 papers) and T-cell and B-cell Immunology (121 papers). John Sidney collaborates with scholars based in United States, Australia and United Kingdom. John Sidney's co-authors include Alessandro Sette, Bjoern Peters, Scott Southwood, Howard M. Grey, Ralph T. Kubo, Carla Oseroff, Robert W. Chesnut, Huynh‐Hoa Bui, Daniela Weiskopf and Ettore Appella and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

John Sidney

382 papers receiving 32.5k citations

Hit Papers

The relationship between ... 1993 2026 2004 2015 1994 2008 2020 2006 1998 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The relationship between class I binding affinity and immunogenicity of potential cytotoxic T cell epitopes.
    1994 724 citations Alessandro Sette, Carla Oseroff et al. profile →
  2. A Systematic Assessment of MHC Class II Peptide Binding Predictions and Evaluation of a Consensus Approach
    2008 659 citations John Sidney, Alessandro Sette et al. profile →
  3. A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2
    2020 652 citations Alba Grifoni, John Sidney et al. Cell Host & Microbe profile →
  4. Predicting population coverage of T-cell epitope-based diagnostics and vaccines
    2006 639 citations John Sidney, Alessandro Sette et al. profile →
  5. Several Common HLA-DR Types Share Largely Overlapping Peptide Binding Repertoires
    1998 556 citations John Sidney, Howard M. Grey et al. profile →
  6. NetMHCpan, a method for MHC class I binding prediction beyond humans
    2008 546 citations Bjoern Peters, John Sidney et al. profile →
  7. HLA class I supertypes: a revised and updated classification
    2008 542 citations John Sidney, Bjoern Peters et al. profile →
  8. Prominent role of secondary anchor residues in peptide binding to HLA-A2.1 molecules
    1993 542 citations John Sidney, Howard M. Grey et al. profile →
  9. Peptide binding predictions for HLA DR, DP and DQ molecules
    2010 526 citations John Sidney, Alessandro Sette et al. profile →
  10. Nine major HLA class I supertypes account for the vast preponderance of HLA-A and -B polymorphism
    1999 520 citations Alessandro Sette, John Sidney profile →
  11. SARS-CoV-2 vaccination induces immunological T cell memory able to cross-recognize variants from Alpha to Omicron
    2022 484 citations Elizabeth J. Phillips, S. Mallal et al. profile →
  12. Comprehensive analysis of dengue virus-specific responses supports an HLA-linked protective role for CD8 + T cells
    2013 454 citations Daniela Weiskopf, Michael A. Angelo et al. Proceedings of the National Academy of Sciences profile →
  13. Mass Spectrometry Profiling of HLA-Associated Peptidomes in Mono-allelic Cells Enables More Accurate Epitope Prediction
    2017 406 citations Derin B. Keskin, John Sidney et al. profile →
  14. The Outcome of Hepatitis C Virus Infection Is Predicted by Escape Mutations in Epitopes Targeted by Cytotoxic T Lymphocytes
    2001 321 citations John Sidney, Alessandro Sette et al. profile →
  15. SARS-CoV-2 human T cell epitopes: Adaptive immune response against COVID-19
    2021 204 citations Alba Grifoni, John Sidney et al. Cell Host & Microbe profile →
  16. Functional HPV-specific PD-1+ stem-like CD8 T cells in head and neck cancer
    2021 197 citations John Sidney, Alessandro Sette et al. profile →
  17. T Cell Responses to SARS-CoV-2
    2023 83 citations Alessandro Sette, John Sidney et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John Sidney 19.4k 14.7k 7.1k 6.6k 5.3k 387 33.1k
Jay A. Berzofsky 17.8k 0.9× 9.3k 0.6× 4.8k 0.7× 2.6k 0.4× 3.5k 0.7× 435 29.3k
Barton F. Haynes 16.7k 0.9× 8.5k 0.6× 5.7k 0.8× 8.5k 1.3× 4.7k 0.9× 432 34.7k
Bjoern Peters 14.0k 0.7× 18.7k 1.3× 5.2k 0.7× 8.9k 1.3× 6.4k 1.2× 355 32.3k
Robert W. Doms 11.7k 0.6× 8.1k 0.6× 4.9k 0.7× 8.1k 1.2× 2.2k 0.4× 237 28.7k
David B. Weiner 10.8k 0.6× 8.2k 0.6× 4.6k 0.6× 4.8k 0.7× 1.7k 0.3× 483 22.1k
Michel C. Nussenzweig 39.4k 2.0× 20.1k 1.4× 5.0k 0.7× 6.9k 1.0× 7.8k 1.5× 379 61.3k
Gary J. Nabel 14.3k 0.7× 14.1k 1.0× 8.8k 1.2× 10.9k 1.7× 2.5k 0.5× 365 38.2k
Hans Hengartner 24.6k 1.3× 6.2k 0.4× 5.4k 0.8× 3.6k 0.6× 2.8k 0.5× 340 34.0k
Warner C. Greene 17.2k 0.9× 11.0k 0.7× 4.4k 0.6× 6.2k 0.9× 1.3k 0.2× 281 33.3k
Alessandro Sette 40.0k 2.1× 29.6k 2.0× 14.2k 2.0× 17.2k 2.6× 11.5k 2.2× 858 72.2k

Countries citing papers authored by John Sidney

Since Specialization
Citations

This map shows the geographic impact of John Sidney's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Sidney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Sidney more than expected).

Fields of papers citing papers by John Sidney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Sidney. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Sidney. The network helps show where John Sidney may publish in the future.

Co-authorship network of co-authors of John Sidney

This figure shows the co-authorship network connecting the top 25 collaborators of John Sidney. A scholar is included among the top collaborators of John Sidney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Sidney. John Sidney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Williams, Gregory P., T. Michaelis, April Frazier, et al.. (2024). PINK1 is a target of T cell responses in Parkinson’s disease. Journal of Clinical Investigation. 135(4). 9 indexed citations
2.
Sidney, John, et al.. (2023). Correlative CD4 and CD8 T-cell immunodominance in humans and mice: Implications for preclinical testing. Cellular and Molecular Immunology. 20(11). 1328–1338. 5 indexed citations
3.
Antunes, Ricardo da Silva, Lorenzo Quiambao, Sandeep Kumar Dhanda, et al.. (2023). T cell reactivity to Bordetella pertussis is highly diverse regardless of childhood vaccination. Cell Host & Microbe. 31(8). 1404–1416.e4. 9 indexed citations
4.
Sagan, Sharon A., Zahra Moinfar, Carson E. Moseley, et al.. (2023). T cell deletional tolerance restricts AQP4 but not MOG CNS autoimmunity. Proceedings of the National Academy of Sciences. 120(30). e2306572120–e2306572120. 7 indexed citations
5.
Brehm, Thomas Theo, Matthias Marget, Sven Peine, et al.. (2021). Broadly directed SARS-CoV-2-specific CD4+ T cell response includes frequently detected peptide specificities within the membrane and nucleoprotein in patients with acute and resolved COVID-19. PLoS Pathogens. 17(9). e1009842–e1009842. 36 indexed citations
6.
Koşaloğlu, Zeynep, John Sidney, William D. Chronister, Bjoern Peters, & Alessandro Sette. (2020). Comparison of HLA ligand elution data and binding predictions reveals varying prediction performance for the multiple motifs recognized by HLA‐DQ2.5. Immunology. 162(2). 235–247. 7 indexed citations
7.
Vries, Rory D. de, John Sidney, Paul Rubiro, et al.. (2020). Identification and Characterization of CD4 + T Cell Epitopes after Shingrix Vaccination. Journal of Virology. 94(24). 18 indexed citations
8.
Liepe, Juliane, et al.. (2018). Mapping the MHC Class I–Spliced Immunopeptidome of Cancer Cells. Cancer Immunology Research. 7(1). 62–76. 51 indexed citations
9.
Grifoni, Alba, Daniela Weiskopf, Véronique Schulten, et al.. (2018). Sequence-based HLA-A, B, C, DP, DQ, and DR typing of 496 adults from San Diego, California, USA. Human Immunology. 79(12). 821–822. 11 indexed citations
10.
McElroy, Anita K., Rama Akondy, Jessica R. Harmon, et al.. (2017). A Case of Human Lassa Virus Infection With Robust Acute T-Cell Activation and Long-Term Virus-Specific T-Cell Responses. The Journal of Infectious Diseases. 215(12). 1862–1872. 49 indexed citations
11.
Crozat, Karine, Jean‐Michel Saliou, Tchilabalo Dilezitoko Alayi, et al.. (2017). Profiling MHC II immunopeptidome of blood‐stage malaria reveals that cDC 1 control the functionality of parasite‐specific CD 4 T cells. EMBO Molecular Medicine. 9(11). 1605–1621. 28 indexed citations
12.
Liepe, Juliane, Fabio Marino, John Sidney, et al.. (2016). A large fraction of HLA class I ligands are proteasome-generated spliced peptides. Science. 354(6310). 354–358. 270 indexed citations
13.
Pro, Sebastian Carrasco, John Sidney, Sinu Paul, et al.. (2015). Automatic Generation of Validated Specific Epitope Sets. Journal of Immunology Research. 2015. 1–11. 55 indexed citations
14.
Weiskopf, Daniela, Michael A. Angelo, John Sidney, et al.. (2014). Immunodominance Changes as a Function of the Infecting Dengue Virus Serotype and Primary versus Secondary Infection. Journal of Virology. 88(19). 11383–11394. 73 indexed citations
15.
Weiskopf, Daniela, Michael A. Angelo, Elzinandes Leal de Azeredo, et al.. (2013). Comprehensive analysis of dengue virus-specific responses supports an HLA-linked protective role for CD8 + T cells. Proceedings of the National Academy of Sciences. 110(22). E2046–53. 454 indexed citations breakdown →
16.
Paul, Sinu, Ravi V. Kolla, John Sidney, et al.. (2013). Evaluating the Immunogenicity of Protein Drugs by ApplyingIn VitroMHC Binding Data and the Immune Epitope Database and Analysis Resource. SHILAP Revista de lepidopterología. 2013. 1–7. 49 indexed citations
17.
Cai, Ann, Derin B. Keskin, David S. DeLuca, et al.. (2012). Mutated BCR-ABL Generates Immunogenic T-cell Epitopes in CML Patients. Clinical Cancer Research. 18(20). 5761–5772. 40 indexed citations
18.
Schreiber, Karin, Ainhoa Arina, Boris Engels, et al.. (2012). Spleen Cells from Young but Not Old Immunized Mice Eradicate Large Established Cancers. Clinical Cancer Research. 18(9). 2526–2533. 21 indexed citations
19.
Sidney, John, et al.. (2010). IMMUNOCAT—A Data Management System for Epitope Mapping Studies. SHILAP Revista de lepidopterología. 2010. 1–8. 2 indexed citations
20.
Assarsson, Erika, Jason Greenbaum, Magnus Sundström, et al.. (2008). Kinetic analysis of a complete poxvirus transcriptome reveals an immediate-early class of genes. Proceedings of the National Academy of Sciences. 105(6). 2140–2145. 144 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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