World's Best Scientists 2026 revealed!

D-Index & Metrics

Immunology

D-Index
109
Citations
42828
World Ranking
520
National Ranking
316

Medicine

D-Index
109
Citations
42828
World Ranking
5793
National Ranking
3110

John Sidney publication distribution in Immunology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Immunology in 2026. The highlighted bar marks where John Sidney sits on this spectrum.

62–71 publications: 9 scientists 72–81 publications: 23 scientists 82–91 publications: 40 scientists 92–101 publications: 72 scientists 102–111 publications: 86 scientists 112–121 publications: 108 scientists 122–131 publications: 150 scientists 132–141 publications: 160 scientists 142–151 publications: 159 scientists 152–161 publications: 189 scientists 162–171 publications: 166 scientists 172–181 publications: 181 scientists 182–191 publications: 188 scientists 192–201 publications: 187 scientists 202–211 publications: 178 scientists 212–221 publications: 158 scientists 222–231 publications: 168 scientists 232–241 publications: 159 scientists 242–251 publications: 160 scientists 252–261 publications: 148 scientists 262–271 publications: 116 scientists 272–281 publications: 125 scientists 282–291 publications: 115 scientists 292–301 publications: 111 scientists 302–311 publications: 95 scientists 312–321 publications: 97 scientists 322–331 publications: 97 scientists 332–341 publications: 99 scientists 342–351 publications: 96 scientists 352–361 publications: 68 scientists 362–371 publications: 76 scientists 372–381 publications: 71 scientists 382–391 publications: 71 scientists 392–401 publications: 62 scientists 402–411 publications: 54 scientists 412–421 publications: 41 scientists 422–431 publications: 63 scientists 432–441 publications: 53 scientists 442–451 publications: 31 scientists 452–461 publications: 42 scientists 462–471 publications: 40 scientists 472–481 publications: 29 scientists 482–491 publications: 34 scientists 492–501 publications: 30 scientists 502–511 publications: 23 scientists 512–521 publications: 41 scientists 522–531 publications: 29 scientists 532–541 publications: 28 scientists 542–551 publications: 16 scientists 552–561 publications: 18 scientists 562–571 publications: 18 scientists 572–581 publications: 17 scientists 582–591 publications: 17 scientists 592–601 publications: 17 scientists 602–611 publications: 19 scientists 612–621 publications: 13 scientists 622–631 publications: 12 scientists 632–641 publications: 11 scientists 642–651 publications: 16 scientists 652–661 publications: 9 scientists 662–671 publications: 5 scientists 672–681 publications: 13 scientists 682–691 publications: 12 scientists 692–701 publications: 6 scientists 702–711 publications: 6 scientists 712–721 publications: 9 scientists 722–731 publications: 9 scientists 732–741 publications: 6 scientists 742–751 publications: 11 scientists 752–761 publications: 10 scientists 762–771 publications: 7 scientists 772–781 publications: 12 scientists 782–791 publications: 7 scientists 792–801 publications: 5 scientists 802–806 publications: 1 scientists 807+ publications: 100 scientists
62 publications 807+

This scientist: 390 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 807 publications or more.

John Sidney D-index placement in Immunology in 2026

The chart shows the D-index (discipline H-index) distribution of Immunology scientists ranked by Research.com in 2026. The highlighted bar marks where John Sidney sits on this spectrum.

40–41 D-Index: 28 scientists 42–43 D-Index: 91 scientists 44–45 D-Index: 157 scientists 46–47 D-Index: 192 scientists 48–49 D-Index: 175 scientists 50–51 D-Index: 188 scientists 52–53 D-Index: 177 scientists 54–55 D-Index: 155 scientists 56–57 D-Index: 194 scientists 58–59 D-Index: 201 scientists 60–61 D-Index: 197 scientists 62–63 D-Index: 201 scientists 64–65 D-Index: 173 scientists 66–67 D-Index: 167 scientists 68–69 D-Index: 172 scientists 70–71 D-Index: 199 scientists 72–73 D-Index: 184 scientists 74–75 D-Index: 133 scientists 76–77 D-Index: 162 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 125 scientists 84–85 D-Index: 121 scientists 86–87 D-Index: 102 scientists 88–89 D-Index: 96 scientists 90–91 D-Index: 75 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 74 scientists 96–97 D-Index: 66 scientists 98–99 D-Index: 68 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 60 scientists 104–105 D-Index: 54 scientists 106–107 D-Index: 36 scientists 108–109 D-Index: 23 scientists 110–111 D-Index: 52 scientists 112–113 D-Index: 41 scientists 114–115 D-Index: 34 scientists 116–117 D-Index: 25 scientists 118–119 D-Index: 28 scientists 120–121 D-Index: 11 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 19 scientists 128–129 D-Index: 20 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 17 scientists 134–135 D-Index: 14 scientists 136–137 D-Index: 15 scientists 138–139 D-Index: 9 scientists 140–141 D-Index: 11 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 9 scientists 146–147 D-Index: 7 scientists 148–149 D-Index: 7 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 5 scientists 154–155 D-Index: 8 scientists 156 D-Index: 6 scientists 157+ D-Index: 96 scientists
40 D-Index 157+

This scientist: 109 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 157 D-Index or more.

Overview

John Sidney is affiliated with the La Jolla Institute For Allergy & Immunology in the United States. Their research primarily focuses on immunology and infectious diseases with a particular emphasis on T-cell and B-cell immunology, vaccines, and immune responses related to SARS-CoV-2 and COVID-19.

Their main fields of study include Medicine, Immunology and Microbiology, and Biochemistry, Genetics and Molecular Biology. Subfields emphasized in their work comprise Immunology, Molecular Biology, Infectious Diseases, Epidemiology, and Neurology.

John Sidney has contributed extensively to the study of immune mechanisms and vaccine responses, especially in the context of the SARS-CoV-2 virus. Notable recent papers include:

  • Selective and cross-reactive SARS-CoV-2 T cell epitopes in unexposed humans (2020, Science)
  • A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2 (2020, Cell Host & Microbe)
  • SARS-CoV-2 vaccination induces immunological T cell memory able to cross-recognize variants from Alpha to Omicron (2022, Cell)
  • Impact of SARS-CoV-2 variants on the total CD4+ and CD8+ T cell reactivity in infected or vaccinated individuals (2021, Cell Reports Medicine)
  • Comprehensive analysis of T cell immunodominance and immunoprevalence of SARS-CoV-2 epitopes in COVID-19 cases (2021, Cell Reports Medicine)

Their frequent co-authors include Alessandro Sette, Alba Grifoni, Bjoern Peters, S. Mallal, and Daniela Weiskopf. These collaborations reflect consistent contributions to the research community focused on immunology and infectious disease.

John Sidney's works have been published predominantly in venues such as bioRxiv (Cold Spring Harbor Laboratory), Cell Host & Microbe, Cell, The Journal of Immunology, and UNC Libraries.

Main research topics covered by Sidney involve:

  • Vaccines and immunoinformatics approaches
  • Immunotherapy and immune responses
  • SARS-CoV-2 and COVID-19 research
  • T-cell and B-cell immunology
  • Immune cell function and interaction
  • COVID-19 clinical research studies
  • Monoclonal and polyclonal antibodies research

Best Publications

  • Selective and cross-reactive SARS-CoV-2 T cell epitopes in unexposed humans.

    Jose Mateus;Alba Grifoni;Alison Tarke;John Sidney

  • A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2

    Alba Grifoni;John Sidney;Yun Zhang;Richard H. Scheuermann

  • A Systematic Assessment of MHC Class II Peptide Binding Predictions and Evaluation of a Consensus Approach

    Peng Wang;John Sidney;Courtney Dow;Courtney Dow;Bianca Mothé

  • Predicting population coverage of T-cell epitope-based diagnostics and vaccines

    Huynh-Hoa Bui;John Sidney;Kenny Dinh;Scott Southwood

  • NetMHCpan, a method for MHC class I binding prediction beyond humans

    Ilka Hoof;Bjoern Peters;John Sidney;Lasse Eggers Pedersen

  • T cells from patients with Parkinson’s disease recognize α-synuclein peptides

    David Sulzer;Roy N. Alcalay;Francesca Garretti;Lucien Cote

  • HLA class I supertypes: a revised and updated classification

    John Sidney;Bjoern Peters;Nicole Frahm;Christian Brander

  • Peptide binding predictions for HLA DR, DP and DQ molecules

    Peng Wang;John Sidney;Yohan Kim;Alessandro Sette

  • Comprehensive analysis of dengue virus-specific responses supports an HLA-linked protective role for CD8+ T cells

    Daniela Weiskopf;Michael A. Angelo;Elzinandes L. de Azeredo;John Sidney

  • Mass Spectrometry Profiling of HLA-Associated Peptidomes in Mono-allelic Cells Enables More Accurate Epitope Prediction.

    Jennifer G. Abelin;Derin B. Keskin;Siranush Sarkizova;Christina R. Hartigan

  • A consensus epitope prediction approach identifies the breadth of murine T(CD8+)-cell responses to vaccinia virus.

    Magdalini Moutaftsi;Bjoern Peters;Valerie Pasquetto;David C Tscharke

  • Development of an epitope conservancy analysis tool to facilitate the design of epitope-based diagnostics and vaccines

    Huynh-Hoa Bui;Huynh-Hoa Bui;John Sidney;Wei Li;Nicholas Fusseder

  • Comprehensive analysis of T cell immunodominance and immunoprevalence of SARS-CoV-2 epitopes in COVID-19 cases.

    Alison Tarke;Alison Tarke;John Sidney;Conner K. Kidd;Jennifer M. Dan;Jennifer M. Dan

  • Impact of SARS-CoV-2 variants on the total CD4 + and CD8 + T cell reactivity in infected or vaccinated individuals.

    Alison Tarke;Alison Tarke;John Sidney;Nils Methot;Esther Dawen Yu

  • The outcome of hepatitis C virus infection is predicted by escape mutations in epitopes targeted by cytotoxic T lymphocytes.

    Ann L Erickson;Yoichi Kimura;Suzu Igarashi;Jennifer Eichelberger

  • Virus-specific cytotoxic T-lymphocyte responses select for amino-acid variation in simian immunodeficiency virus Env and Nef.

    David T. Evans;David T. Evans;David H. O'Connor;Peicheng Jing;John L. Dzuris

  • Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction

    Daniel K. Wells;Marit M. van Buuren;Kristen K. Dang;Vanessa M. Hubbard-Lucey

  • The immune epitope database and analysis resource: from vision to blueprint.

    Bjoern Peters;John Sidney;Phil Bourne;Huynh-Hoa Bui

  • Drug hypersensitivity caused by alteration of the MHC-presented self-peptide repertoire

    David A. Ostrov;Barry J. Grant;Yuri A. Pompeu;John Sidney

  • Reversion of CTL escape-variant immunodeficiency viruses in vivo.

    Thomas C Friedrich;Elizabeth J Dodds;Levi J Yant;Lara Vojnov

  • A large fraction of HLA class I ligands are proteasome-generated spliced peptides

    Juliane Liepe;Fabio Marino;John Sidney;Anita Jeko

Frequent Co-Authors

Alessandro Sette
Alessandro Sette La Jolla Institute For Allergy & Immunology
Bjoern Peters
Bjoern Peters La Jolla Institute For Allergy & Immunology
Carla Oseroff
Carla Oseroff La Jolla Institute For Allergy & Immunology
Simon Mallal
Simon Mallal Vanderbilt University Medical Center
Daniela Weiskopf
Daniela Weiskopf La Jolla Institute For Allergy & Immunology
Howard M. Grey
Howard M. Grey La Jolla Institute For Allergy & Immunology
Elizabeth J. Phillips
Elizabeth J. Phillips Vanderbilt University Medical Center
Scott Southwood
Scott Southwood Johnson & Johnson
Jason A. Greenbaum
Jason A. Greenbaum La Jolla Institute For Allergy & Immunology
Alba Grifoni
Alba Grifoni La Jolla Institute For Allergy & Immunology

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