World's Best Scientists 2026 revealed!

D-Index & Metrics

Immunology

D-Index
53
Citations
10724
World Ranking
3970
National Ranking
1817

Jonathan M. Carlson 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 Jonathan M. Carlson 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: 161 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Jonathan M. Carlson 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 Jonathan M. Carlson 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: 53 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Jonathan M. Carlson is affiliated with Microsoft in the United States. Their research primarily focuses on Medicine, with a significant emphasis on Immunology and Microbiology. Within these broader fields, they have contributed notably to Infectious Diseases, Immunology, Molecular Biology, Virology, and Neurology.

The main topics covered by their work include SARS-CoV-2 and COVID-19 research, vaccines and immunoinformatics approaches, COVID-19 clinical research studies, HIV research and treatment, T-cell and B-cell immunology, immunotherapy and immune responses, and the long-term effects of COVID-19.

Carlson has published extensively, with notable papers including:

  • "Magnitude and Dynamics of the T-Cell Response to SARS-CoV-2 Infection at Both Individual and Population Levels" (2020, bioRxiv (Cold Spring Harbor Laboratory))
  • "Risk of rapid evolutionary escape from biomedical interventions targeting SARS-CoV-2 spike protein" (2021, PLoS ONE)
  • "HLA tapasin independence: broader peptide repertoire and HIV control" (2020, Proceedings of the National Academy of Sciences)
  • "Longitudinal analysis of T cell receptor repertoires reveals shared patterns of antigen-specific response to SARS-CoV-2 infection" (2022, JCI Insight)
  • "T cell receptor sequencing identifies prior SARS-CoV-2 infection and correlates with neutralizing antibodies and disease severity" (2022, JCI Insight)

Their research has been featured in several frequent publication venues, notably:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Frontiers in Immunology
  • JCI Insight
  • AIDS
  • Journal of Virology

Carlson collaborates regularly with several co-authors, including:

  • Harlan Robins
  • Thomas M. Snyder
  • H. Jabran Zahid
  • Rebecca Elyanow
  • Lance Baldo

Best Publications

  • The major genetic determinants of HIV-1 control affect HLA class I peptide presentation

    Pereyra F;Jia X;McLaren Pj

  • Increased HIV-1 vaccine efficacy against viruses with genetic signatures in Env V2

    Morgane Rolland;Paul T. Edlefsen;Brendan B. Larsen;Sodsai Tovanabutra

  • NATURALLY OCCURRING DOMINANT RESISTANCE MUTATIONS TO HEPATITIS C VIRUS PROTEASE AND POLYMERASE INHIBITORS IN TREATMENT-NAIVE PATIENTS

    Thomas Kuntzen;Joerg Timm;Andrew Berical;Niall Lennon

  • HIV-1 adaptation to NK-cell-mediated immune pressure

    Galit Alter;David Heckerman;Arne Schneidewind;Lena Fadda

  • Influence of HLA-C Expression Level on HIV Control

    Richard Apps;Richard Apps;Ying Qi;Ying Qi;Jonathan M. Carlson;Haoyan Chen;Haoyan Chen

  • Founder effects in the assessment of HIV polymorphisms and HLA allele associations.

    Tanmoy Bhattacharya;Tanmoy Bhattacharya;Marcus Daniels;David Heckerman;Brian Foley

  • Selection bias at the heterosexual HIV-1 transmission bottleneck

    Jonathan M. Carlson;Malinda Schaefer;Daniela C. Monaco;Rebecca Batorsky

  • Transmission of HIV-1 Gag immune escape mutations is associated with reduced viral load in linked recipients

    Paul A. Goepfert;Wendy Lumm;Paul Farmer;Philippa Matthews

  • Evidence of Differential HLA Class I-Mediated Viral Evolution in Functional and Accessory/Regulatory Genes of HIV-1

    Zabrina L Brumme;Zabrina L Brumme;Zabrina L Brumme;Chanson J Brumme;Chanson J Brumme;David Heckerman;Bette T Korber;Bette T Korber

  • Additive Contribution of HLA Class I Alleles in the Immune Control of HIV-1 Infection

    Alasdair Leslie;Philippa C. Matthews;Jennifer Listgarten;Jonathan M. Carlson

  • Marked Epitope- and Allele-Specific Differences in Rates of Mutation in Human Immunodeficiency Type 1 (HIV-1) Gag, Pol, and Nef Cytotoxic T-Lymphocyte Epitopes in Acute/Early HIV-1 Infection

    Zabrina L. Brumme;Chanson J. Brumme;Jonathan Carlson;Jonathan Carlson;Hendrik Streeck

  • HLA-associated immune escape pathways in HIV-1 subtype B Gag, Pol and Nef proteins

    Zabrina L. Brumme;Zabrina L. Brumme;Mina John;Jonathan M. Carlson;Chanson J. Brumme

  • A genome-to-genome analysis of associations between human genetic variation, HIV-1 sequence diversity, and viral control

    István Bartha;Jonathan M Carlson;Chanson J Brumme;Paul J McLaren;Paul J McLaren;Paul J McLaren

  • Central Role of Reverting Mutations in HLA Associations with Human Immunodeficiency Virus Set Point

    Philippa C. Matthews;Andrew Prendergast;Alasdair Leslie;Hayley Crawford

  • HLA Class-I Driven Evolution of Human Immunodeficiency Virus Type 1 Subtype C Proteome: Immune Escape and Viral Load

    Christine M. Rousseau;Marcus G. Daniels;Jonathan M. Carlson;Jonathan M. Carlson;Carl Kadie

  • Phylogenetic dependency networks: inferring patterns of CTL escape and codon covariation in HIV-1 Gag.

    Jonathan M. Carlson;Jonathan M. Carlson;Zabrina L. Brumme;Christine M. Rousseau;Chanson J. Brumme

  • Early Selection in Gag by Protective HLA Alleles Contributes to Reduced HIV-1 Replication Capacity That May Be Largely Compensated for in Chronic Infection

    Mark A. Brockman;Mark A. Brockman;Mark A. Brockman;Zabrina L. Brumme;Zabrina L. Brumme;Zabrina L. Brumme;Chanson J. Brumme;Chanson J. Brumme;Toshiyuki Miura;Toshiyuki Miura

  • A large-scale database of T-cell receptor beta (TCRβ) sequences and binding associations from natural and synthetic exposure to SARS-CoV-2

    Sean Nolan;Marissa Vignali;Mark Klinger;Jennifer N Dines

  • Genetic Characterization of Human Immunodeficiency Virus Type 1 in Elite Controllers: Lack of Gross Genetic Defects or Common Amino Acid Changes

    Toshiyuki Miura;Mark A. Brockman;Chanson J. Brumme;Zabrina L. Brumme

  • Elevated HLA-A expression impairs HIV control through inhibition of NKG2A-expressing cells

    Veron Ramsuran;Vivek Naranbhai;Amir Horowitz;Ying Qi

  • CD8 and CD4 epitope predictions in RV144: no strong evidence of a T-cell driven sieve effect in HIV-1 breakthrough sequences from trial participants.

    Kalpana Dommaraju;Gustavo Kijak;Jonathan M. Carlson;Brendan B. Larsen

  • Genetic Selection Bias at the Heterosexual HIV-1 Transmission Bottleneck

    J Carlson;D Monaco;M Schaefer;D Claiborne

Frequent Co-Authors

Bruce D. Walker
Bruce D. Walker Harvard University
Zabrina L. Brumme
Zabrina L. Brumme Simon Fraser University
Philip J. R. Goulder
Philip J. R. Goulder University of Oxford
David Heckerman
David Heckerman Microsoft (United States)
Thumbi Ndung'u
Thumbi Ndung'u University of KwaZulu-Natal
Simon Mallal
Simon Mallal Vanderbilt University Medical Center
Chanson J. Brumme
Chanson J. Brumme University of British Columbia
Mina John
Mina John Royal Perth Hospital
Mark A. Brockman
Mark A. Brockman Simon Fraser University
Mary Carrington
Mary Carrington Ragon Institute of MGH, MIT and Harvard

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