World's Best Scientists 2026 revealed!

D-Index & Metrics

Immunology

D-Index
52
Citations
18606
World Ranking
4020
National Ranking
1834

Stephen C. De Rosa 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 Stephen C. De Rosa 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: 151 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Stephen C. De Rosa 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 Stephen C. De Rosa 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: 52 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Overview

Stephen C. De Rosa is affiliated with the Fred Hutchinson Cancer Research Center in the United States. Their research primarily focuses on immunology, microbiology, and medicine, with a particular emphasis on HIV research and treatment.

Their work spans several subfields including virology, immunology, infectious diseases, radiology, nuclear medicine and imaging, and molecular biology. Central themes in their research involve monoclonal and polyclonal antibodies, immunotherapy and immune responses, HIV/AIDS drug development and treatment, vaccines and immunoinformatics approaches, immune cell function and interaction, and T-cell and B-cell immunology.

De Rosa has published in various scientific venues, with repeated publications in EBioMedicine. Other notable journals include Science Translational Medicine, Vaccine, and the Proceedings of the National Academy of Sciences.

  • Vaccination with mRNA-encoded membrane-anchored HIV envelope trimers elicited tier 2 neutralizing antibodies in a phase 1 clinical trial (2025, Science Translational Medicine)
  • Safety and immunogenicity of a recombinant oligomeric gp145 subtype C Env protein (gp145 C.6980) HIV vaccine candidate in healthy, HIV-1-uninfected adult participants in the US (2023, Vaccine)
  • Regulation of CD45 isoforms during human effector and memory CD8 T cell differentiation: Implications for T cell nomenclature (2025, Proceedings of the National Academy of Sciences)
  • Corrigendum to 'Immune correlates analysis of the Imbokodo (HVTN 705/HPX2008) efficacy trial of a mosaic HIV-1 vaccine regimen evaluated in Southern African people assigned female sex at birth: a two-phase case-control study'. EBioMedicine 2024;108: 105320 (2025, EBioMedicine)
  • Unbiased cell clustering analysis of vaccine-induced T cell responses in the Imbokodo HIV-1 vaccine trial (2025, EBioMedicine)

Frequent collaborators include Jack Heptinstall, Kelly E. Seaton, Georgia D. Tomaras, M. Juliana McElrath, and Shannon Grant. Each has co-authored multiple publications alongside De Rosa.

The scientist's main areas of contribution intersect with immunological mechanisms and vaccine development against HIV, addressing both cellular immune responses and broader immunoinformatic approaches. Their research contributes to understanding T-cell and B-cell immunology in the context of infectious disease and vaccine efficacy.

Best Publications

  • HIV nonprogressors preferentially maintain highly functional HIV-specific CD8+ T-cells

    Michael R. Betts;Martha C. Nason;Sadie M. West;Stephen C. De Rosa

  • Immune-Correlates Analysis of an HIV-1 Vaccine Efficacy Trial

    Barton F. Haynes;Peter B. Gilbert;M. Juliana McElrath;Susan Zolla-Pazner

  • Sensitive and viable identification of antigen-specific CD8+ T cells by a flow cytometric assay for degranulation

    Michael R. Betts;Jason M. Brenchley;David A. Price;Stephen C. De Rosa

  • Interim Results of a Phase 1-2a Trial of Ad26.COV2.S Covid-19 Vaccine.

    Jerald Sadoff;Mathieu Le Gars;Georgi Shukarev;Dirk Heerwegh

  • HIV-1 vaccine-induced immunity in the test-of-concept Step Study: a case–cohort analysis

    M Juliana McElrath;M Juliana McElrath;Stephen C De Rosa;Stephen C De Rosa;Zoe Moodie;Sheri Dubey

  • 11-color, 13-parameter flow cytometry: Identification of human naive T cells by phenotype, function, and T-cell receptor diversity

    Stephen C. De Rosa;Leonard A. Herzenberg;Leonore A. Herzenberg;Mario Roederer

  • mRNA vaccination boosts cross-variant neutralizing antibodies elicited by SARS-CoV-2 infection.

    Leonidas Stamatatos;Leonidas Stamatatos;Julie Czartoski;Yu Hsin Wan;Leah J. Homad

  • Longitudinal analysis shows durable and broad immune memory after SARS-CoV-2 infection with persisting antibody responses and memory B and T cells.

    Kristen W. Cohen;Susanne L. Linderman;Zoe Moodie;Julie Czartoski

  • Quantum dot semiconductor nanocrystals for immunophenotyping by polychromatic flow cytometry

    Pratip K Chattopadhyay;David A Price;Theresa F Harper;Michael R Betts;Michael R Betts

  • Safety and Immunogenicity of Novel Adenovirus Type 26– and Modified Vaccinia Ankara–Vectored Ebola Vaccines: A Randomized Clinical Trial

    Iain D. Milligan;Malick M. Gibani;Richard Sewell;Elizabeth A. Clutterbuck

  • The cytolytic enzymes granyzme A, granzyme B, and perforin: expression patterns, cell distribution, and their relationship to cell maturity and bright CD57 expression.

    Pratip K. Chattopadhyay;Michael R. Betts;David A. Price;Emma Gostick

  • COMPASS identifies T-cell subsets correlated with clinical outcomes

    Lin Lin;Greg Finak;Kevin Ushey;Chetan Seshadri

  • Beyond six colors: a new era in flow cytometry.

    Stephen C. De Rosa;Jason M. Brenchley;Mario Roederer

  • Optimization and validation of an 8-color intracellular cytokine staining (ICS) assay to quantify antigen-specific T cells induced by vaccination.

    Helen Horton;Evan P. Thomas;Jason A. Stucky;Ian Frank

  • Safety and Comparative Immunogenicity of an HIV-1 DNA Vaccine in Combination with Plasmid Interleukin 12 and Impact of Intramuscular Electroporation for Delivery

    Spyros A. Kalams;Scott D. Parker;Marnie Elizaga;Barbara Metch

  • Ontogeny of γδ T Cells in Humans

    Stephen C. De Rosa;James P. Andrus;Stephen P. Perfetto;John J. Mantovani

  • Vaccination in Humans Generates Broad T Cell Cytokine Responses

    Stephen C. De Rosa;Fabien X. Lu;Joanne Yu;Stephen P. Perfetto

  • OpenCyto: An Open Source Infrastructure for Scalable, Robust, Reproducible, and Automated, End-to-End Flow Cytometry Data Analysis

    Greg Finak;Jacob Frelinger;Wenxin Jiang;Evan W. Newell

  • Increased CD95/Fas-induced apoptosis of HIV-specific CD8(+) T cells.

    Yvonne M Mueller;Stephen C De Rosa;Justin A Hutton;James Witek

  • Chronic elevation of plasma thioredoxin: inhibition of chemotaxis and curtailment of life expectancy in AIDS.

    Hajime Nakamura;Stephen C. De Rosa;Junji Yodoi;Arne Holmgren

Frequent Co-Authors

M. Juliana McElrath
M. Juliana McElrath University of Washington
Lawrence Corey
Lawrence Corey Fred Hutchinson Cancer Research Center
Georgia D. Tomaras
Georgia D. Tomaras Duke University
Mario Roederer
Mario Roederer National Institute of Allergy and Infectious Diseases
Nicole Frahm
Nicole Frahm Fred Hutchinson Cancer Research Center
Raphael Gottardo
Raphael Gottardo Fred Hutchinson Cancer Research Center
Peter B. Gilbert
Peter B. Gilbert Fred Hutchinson Cancer Research Center
Leonard A. Herzenberg
Leonard A. Herzenberg Stanford University
David C. Montefiori
David C. Montefiori Duke University
Leonore A. Herzenberg
Leonore A. Herzenberg Stanford University

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