World's Best Scientists 2026 revealed!

D-Index & Metrics

Immunology

D-Index
55
Citations
10453
World Ranking
3812
National Ranking
1747

Anne S. De Groot 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 Anne S. De Groot 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: 304 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Anne S. De Groot 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 Anne S. De Groot 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: 55 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Anne S. De Groot is affiliated with the University of Georgia in the United States. Their research primarily focuses on medicine, with significant contributions in the fields of immunology and microbiology.

The scientist's work spans several subfields, including immunology, molecular biology, epidemiology, infectious diseases, and radiology, nuclear medicine, and imaging. Their research topics cover diverse areas such as vaccines and immunoinformatics approaches, monoclonal and polyclonal antibodies research, immunotherapy and immune responses, animal virus infections studies, biosimilars and bioanalytical methods, SARS-CoV-2 and COVID-19 research, and influenza virus research studies.

Anne S. De Groot has published in a variety of scientific venues. Frequent publication sources include:

  • Frontiers in Immunology
  • Human Vaccines & Immunotherapeutics
  • Vaccines
  • AASV Annual Meeting
  • Expert Review of Vaccines

Their recent notable papers feature the following:

  • "Better Epitope Discovery, Precision Immune Engineering, and Accelerated Vaccine Design Using Immunoinformatics Tools," 2020, Frontiers in Immunology
  • "T-Cell Dependent Immunogenicity of Protein Therapeutics Pre-clinical Assessment and Mitigation-Updated Consensus and Review 2020," 2020, Frontiers in Immunology
  • "Immunogenicity risk assessment of synthetic peptide drugs and their impurities," 2023, Drug Discovery Today
  • "Neoantigen-based personalized cancer vaccines: the emergence of precision cancer immunotherapy," 2021, Expert Review of Vaccines
  • "Highly conserved, non-human-like, and cross-reactive SARS-CoV-2 T cell epitopes for COVID-19 vaccine design and validation," 2021, npj Vaccines

The scientist has collaborated frequently with several researchers, including:

  • William Martin
  • Leonard Moise
  • Andrés H. Gutiérrez
  • Frances Terry
  • Guilhem Richard

Best Publications

  • Immunogenicity of protein therapeutics

    Anne S. De Groot;David W. Scott

  • Activation of natural regulatory T cells by IgG Fc–derived peptide “Tregitopes”

    Anne S. De Groot;Leonard Moise;Julie A. McMurry;Erik Wambre

  • T-cell dependent immunogenicity of protein therapeutics: Preclinical assessment and mitigation.

    Vibha Jawa;Leslie P. Cousens;Michael Awwad;Eric Wakshull

  • From genome to vaccine: in silico predictions, ex vivo verification.

    Anne S. De Groot;Andrew Bosma;Natasha Chinai;Julie Frost

  • Immuno‐informatics: Mining genomes for vaccine components

    Anne S De Groot;Hakima Sbai;Caitlin Saint Aubin;Julie McMurry

  • Reducing risk, improving outcomes: bioengineering less immunogenic protein therapeutics.

    Anne S. De Groot;William Martin

  • Two novel T cell epitope prediction algorithms based on MHC-binding motifs; comparison of predicted and published epitopes from Mycobacterium tuberculosis and HIV protein sequences.

    G. E. Meister;C. G. P. Roberts;J. A. Berzofsky;A. S. De Groot

  • Immunomics: discovering new targets for vaccines and therapeutics

    Anne S. De Groot

  • Emerging Vaccine Informatics

    Yongqun He;Rino Rappuoli;Anne S. De Groot;Robert T. Chen

  • De-immunization of therapeutic proteins by T-cell epitope modification.

    A S De Groot;P M Knopp;W Martin

  • Clinical validation of the "in silico" prediction of immunogenicity of a human recombinant therapeutic protein.

    E. Koren;A.S. De Groot;V. Jawa;K.D. Beck

  • T cell epitope: friend or foe? Immunogenicity of biologics in context.

    Constanze A. Weber;Preema J. Mehta;Matt Ardito;Lenny Moise

  • Better Epitope Discovery, Precision Immune Engineering, and Accelerated Vaccine Design Using Immunoinformatics Tools.

    Anne S De Groot;Leonard Moise;Frances Terry;Andres H Gutierrez

  • Prediction of well-conserved HIV-1 ligands using a matrix-based algorithm, EpiMatrix.

    J. R. A. Schafer;B. M. Jesdale;J. A. George;N. M. Kouttab

  • Tregitope update: Mechanism of action parallels IVIg

    Leslie P. Cousens;Ryan Tassone;Bruce D. Mazer;Vasanthi Ramachandiran

  • From genome to vaccine--new immunoinformatics tools for vaccine design.

    Anne S. De Groot;Jay A. Berzofsky

  • Prediction of immunogenicity for therapeutic proteins: state of the art.

    Anne S De Groot;Leonard Moise

  • In Vitro and In Vivo Studies of IgG-derived Treg Epitopes (Tregitopes): A Promising New Tool for Tolerance Induction and Treatment of Autoimmunity

    Leslie P. Cousens;Nader Najafian;Federico Mingozzi;Wassim Elyaman

  • An Interactive Web Site Providing Major Histocompatibility Ligand Predictions: Application to HIV Research

    Anne S. De Groot;Bill M. Jesdale;Evan Szu;James R. Schafer

  • Immunoinformatic comparison of T-cell epitopes contained in novel swine-origin influenza A (H1N1) virus with epitopes in 2008–2009 conventional influenza vaccine

    Anne S. De Groot;Matt Ardito;Elizabeth M. McClaine;Leonard Moise

  • Prediction of immunogenicity: in silico paradigms, ex vivo and in vivo correlates.

    Anne S De Groot;Anne S De Groot;Julie McMurry;Lenny Moise

Frequent Co-Authors

William J. Martin
William J. Martin National Institutes of Health
David W. Scott
David W. Scott Uniformed Services University of the Health Sciences
Federico Mingozzi
Federico Mingozzi Children's Hospital of Philadelphia
Ted M. Ross
Ted M. Ross University of Georgia
Søren Buus
Søren Buus University of Copenhagen
Mark C. Poznansky
Mark C. Poznansky Harvard University
Samia J. Khoury
Samia J. Khoury American University of Beirut
David B. Weiner
David B. Weiner The Wistar Institute
Nader Najafian
Nader Najafian Brigham and Women's Hospital
Kenneth H. Mayer
Kenneth H. Mayer Harvard Medical School

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