World's Best Scientists 2026 revealed!

D-Index & Metrics

Immunology

D-Index
110
Citations
61584
World Ranking
487
National Ranking
295

Medicine

D-Index
110
Citations
61668
World Ranking
5442
National Ranking
2931

Bjoern Peters 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 Bjoern Peters 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: 455 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Bjoern Peters 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 Bjoern Peters 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: 110 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

Bjoern Peters is affiliated with the La Jolla Institute For Allergy & Immunology in the United States. Their research primarily spans the fields of Medicine, Biochemistry, Genetics and Molecular Biology, and Immunology and Microbiology. Within these fields, the scientist has focused on subfields such as Molecular Biology, Immunology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging, and Oncology.

The research topics frequently addressed include vaccines and immunoinformatics approaches, immunotherapy and immune responses, monoclonal and polyclonal antibodies research, SARS-CoV-2 and COVID-19 research, T-cell and B-cell immunology, tuberculosis research and epidemiology, and COVID-19 clinical research studies.

Bjoern Peters has co-authored publications with several frequent collaborators, including:

  • Alessandro Sette (124 joint publications)
  • Jason Greenbaum (44 joint publications)
  • Cecilia S. Lindestam Arlehamn (42 joint publications)
  • April Frazier (31 joint publications)
  • Morten Nielsen (31 joint publications)

Their scholarly output has appeared in notable publication venues, with multiple contributions to:

  • bioRxiv (Cold Spring Harbor Laboratory) - 38 publications
  • The Journal of Immunology - 22 publications
  • JCI Insight - 9 publications
  • Database - 7 publications
  • Frontiers in Immunology - 7 publications

Key recent papers authored or co-authored by Bjoern Peters include:

  • Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals, 2020, Cell
  • Immunological memory to SARS-CoV-2 assessed for up to 8 months after infection, 2021, Science
  • NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data, 2020, Nucleic Acids Research
  • Antigen-Specific Adaptive Immunity to SARS-CoV-2 in Acute COVID-19 and Associations with Age and Disease Severity, 2020, Cell
  • Selective and cross-reactive SARS-CoV-2 T cell epitopes in unexposed humans, 2020, Science

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

  • Immunological memory to SARS-CoV-2 assessed for up to 8 months after infection.

    Jennifer M. Dan;Jennifer M. Dan;Jose Mateus;Yu Kato;Kathryn M. Hastie

  • The Immune Epitope Database (IEDB): 2018 update.

    Randi Vita;Swapnil Mahajan;James A Overton;Sandeep Kumar Dhanda

  • NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data.

    Birkir Reynisson;Bruno Alvarez;Sinu Paul;Bjoern Peters;Bjoern Peters

  • 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

  • BepiPred-2.0: Improving sequence-based B-cell epitope prediction using conformational epitopes

    Martin Closter Jespersen;Bjoern Peters;Morten Nielsen;Paolo Marcatili

  • NetMHCpan-4.0: Improved Peptide–MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data

    Vanessa Isabell Jurtz;Sinu Paul;Massimo Andreatta;Paolo Marcatili

  • 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

  • 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

  • Properties of MHC Class I Presented Peptides That Enhance Immunogenicity

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

  • 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

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

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

  • HLA class I supertypes: a revised and updated classification

    John Sidney;Bjoern Peters;Nicole Frahm;Christian Brander

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

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

  • NetMHCpan, a method for quantitative predictions of peptide binding to any HLA-A and -B locus protein of known sequence.

    Morten A. Nielsen;Claus Lundegaard;Thomas H. Blicher;Kasper Lamberth

  • The Immune Epitope Database 2.0

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

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

    Peng Wang;John Sidney;Yohan Kim;Alessandro Sette

Frequent Co-Authors

Alessandro Sette
Alessandro Sette La Jolla Institute For Allergy & Immunology
John Sidney
John Sidney La Jolla Institute For Allergy & Immunology
Jason A. Greenbaum
Jason A. Greenbaum La Jolla Institute For Allergy & Immunology
Daniela Weiskopf
Daniela Weiskopf La Jolla Institute For Allergy & Immunology
Pandurangan Vijayanand
Pandurangan Vijayanand La Jolla Institute For Allergy & Immunology
Carla Oseroff
Carla Oseroff La Jolla Institute For Allergy & Immunology
Morten Nielsen
Morten Nielsen Technical University of Denmark
Simon Mallal
Simon Mallal Vanderbilt University Medical Center
Shane Crotty
Shane Crotty La Jolla Institute For Allergy & Immunology
Howard M. Grey
Howard M. Grey La Jolla Institute For Allergy & Immunology

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

For those interested in Immunology, exploring related healthcare degrees can open diverse career opportunities. Many students choose to pursue nursing programs, which often complement a background in immunological sciences. Programs with easier admission processes provide accessible pathways to build clinical experience and advance professionally.

If you’re considering a nursing career, checking out the easiest accelerated nursing programs to get into can help you identify options that balance quality education with more flexible entry requirements.

For a quicker path into nursing, easy admission LPN programs offer foundational training that prepares students for practical roles in healthcare settings. These programs often serve as stepping stones toward advanced degrees in nursing or healthcare.

Those aiming for advanced practice roles might explore the easiest NP programs to get into, which combine specialized clinical training with flexible online learning options. Additionally, online PMHNP programs with clinical placement provide excellent support for mental health nurse practitioners, ensuring strong practical experience through effective clinical placements.

Choosing the right program involves balancing admission criteria, program format, and clinical opportunities to align with your career goals in the evolving field of immunology and healthcare.

Best Scientists Citing Bjoern Peters

Trending Scientists

Recently Published Articles