World's Best Scientists 2026 revealed!

D-Index & Metrics

Immunology

D-Index
45
Citations
26535
World Ranking
4654
National Ranking
2094

Jason A. Greenbaum 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 Jason A. Greenbaum 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: 69 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: 129 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Jason A. Greenbaum 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 Jason A. Greenbaum 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: 163 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: 45 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Jason A. Greenbaum is affiliated with the La Jolla Institute For Allergy & Immunology in the United States. Their research spans multiple fields of study, focusing primarily on immunology and microbiology, medicine, and biochemistry, genetics, and molecular biology. Within these areas, their work delves into subfields such as immunology, molecular biology, infectious diseases, radiology, nuclear medicine and imaging, and oncology.

The main topics of Jason A. Greenbaum's work include vaccines and immunoinformatics approaches, immunotherapy and immune responses, T-cell and B-cell immunology, monoclonal and polyclonal antibodies research, immune cell function and interaction, SARS-CoV-2 and COVID-19 research, as well as cancer immunotherapy and biomarkers.

The scientist has contributed to the literature with several recent papers, including:

  • Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals, 2020, published in Cell
  • Antigen-Specific Adaptive Immunity to SARS-CoV-2 in Acute COVID-19 and Associations with Age and Disease Severity, 2020, published in Cell
  • Selective and cross-reactive SARS-CoV-2 T cell epitopes in unexposed humans, 2020, published in Science
  • Comprehensive analysis of T cell immunodominance and immunoprevalence of SARS-CoV-2 epitopes in COVID-19 cases, 2021, published in Cell Reports Medicine
  • Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction, 2020, published in Cell

Frequent co-authors of Jason A. Greenbaum include:

  • Bjoern Peters
  • Alessandro Sette
  • Stephen P. Schoenberger
  • Grégory Seumois
  • Zeynep Koşaloğlu

Greenbaum's publications are often found in prominent scientific journals and platforms, particularly bioRxiv (Cold Spring Harbor Laboratory) with 11 publications, The Journal of Immunology with 5, Cell and Frontiers in Immunology with 3 each, and Science Immunology with 2 publications.

Best Publications

  • Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals.

    Alba Grifoni;Daniela Weiskopf;Sydney I. Ramirez;Sydney I. Ramirez;Jose Mateus

  • Antigen-Specific Adaptive Immunity to SARS-CoV-2 in Acute COVID-19 and Associations with Age and Disease Severity.

    Carolyn Rydyznski Moderbacher;Sydney I. Ramirez;Sydney I. Ramirez;Jennifer M. Dan;Jennifer M. Dan;Alba Grifoni

  • The immune epitope database (IEDB) 3.0

    Randi Vita;James A. Overton;Jason A. Greenbaum;Julia V. Ponomarenko

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

    Jose Mateus;Alba Grifoni;Alison Tarke;John Sidney

  • Properties of MHC Class I Presented Peptides That Enhance Immunogenicity

    Jorg J. A. Calis;Matt Maybeno;Jason A. Greenbaum;Daniela Weiskopf

  • Impact of Genetic Polymorphisms on Human Immune Cell Gene Expression.

    Benjamin J. Schmiedel;Divya Singh;Ariel Madrigal;Alan G. Valdovino-Gonzalez

  • Improved methods for predicting peptide binding affinity to MHC class II molecules

    Kamilla Kjærgaard Jensen;Massimo Andreatta;Paolo Marcatili;Søren Buus

  • The Immune Epitope Database 2.0

    Randi Vita;Laura Zarebski;Jason A. Greenbaum;Hussein Emami

  • 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

  • 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

  • Immune epitope database analysis resource

    Yohan Kim;Julia Ponomarenko;Zhanyang Zhu;Dorjee G. Tamang

  • 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

  • Functional classification of class II human leukocyte antigen (HLA) molecules reveals seven different supertypes and a surprising degree of repertoire sharing across supertypes.

    Jason Greenbaum;John Sidney;Jolan Chung;Christian Brander

  • Immune epitope database analysis resource (IEDB-AR).

    Qing Zhang;Peng Wang;Yohan Kim;Pernille Haste-Andersen

  • Pre-existing immunity against swine-origin H1N1 influenza viruses in the general human population.

    Jason A. Greenbaum;Maya F. Kotturi;Yohan Kim;Carla Oseroff

  • IEDB-AR: immune epitope database - analysis resource in 2019

    Sandeep Kumar Dhanda;Swapnil Mahajan;Sinu Paul;Zhen Yan

  • Towards a consensus on datasets and evaluation metrics for developing B-cell epitope prediction tools

    Jason A. Greenbaum;Pernille Haste Andersen;Martin Blythe;Huynh-Hoa Bui

  • Memory T Cells in Latent Mycobacterium tuberculosis Infection Are Directed against Three Antigenic Islands and Largely Contained in a CXCR3+CCR6+ Th1 Subset

    Cecilia S. Lindestam Arlehamn;Anna Gerasimova;Federico Mele;Ryan Henderson

  • Unique phenotypes and clonal expansions of human CD4 effector memory T cells re-expressing CD45RA

    Yuan Tian;Mariana Babor;Jerome Lane;Veronique Schulten

  • Bcl6 Expressing Follicular Helper CD4 T Cells Are Fate Committed Early and Have the Capacity To Form Memory

    Youn Soo Choi;Jessica A. Yang;Isharat Yusuf;Robert J. Johnston;Robert J. Johnston

Frequent Co-Authors

Bjoern Peters
Bjoern Peters La Jolla Institute For Allergy & Immunology
Alessandro Sette
Alessandro Sette La Jolla Institute For Allergy & Immunology
John Sidney
John Sidney La Jolla Institute For Allergy & Immunology
Pandurangan Vijayanand
Pandurangan Vijayanand La Jolla Institute For Allergy & Immunology
Howard M. Grey
Howard M. Grey La Jolla Institute For Allergy & Immunology
Carla Oseroff
Carla Oseroff La Jolla Institute For Allergy & Immunology
Shane Crotty
Shane Crotty La Jolla Institute For Allergy & Immunology
Daniela Weiskopf
Daniela Weiskopf La Jolla Institute For Allergy & Immunology
Grégory Seumois
Grégory Seumois La Jolla Institute For Allergy & Immunology
Morten Nielsen
Morten Nielsen Technical University of Denmark

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Immunology in the USA opens doors to various allied health careers, especially in nursing fields that complement immunology expertise. For those without a nursing background, online BSN programs for non nurses provide a flexible pathway to enter nursing while leveraging prior education or experience.

If you already hold a degree and want to accelerate your journey toward becoming a registered nurse, accelerated nursing programs are an ideal option. These programs condense the curriculum to enable faster transitions into clinical roles, including those focused on immunology-related care.

For those seeking quicker entry into nursing professions, fastest and easiest LPN programs offer a practical solution. Licensed Practical Nurses often work in settings where immunological knowledge is increasingly vital, especially in infection control and patient management.

Advancing further, becoming a nurse practitioner enhances one’s ability to specialize in immunology-influenced areas such as infectious diseases or immunotherapy. Exploring easiest nurse practitioner program options can help meet educational goals efficiently while aligning with career progression.

Best Scientists Citing Jason A. Greenbaum

Trending Scientists

Recently Published Articles