World's Best Scientists 2026 revealed!

D-Index & Metrics

Microbiology

D-Index
76
Citations
21921
World Ranking
1410
National Ranking
615

Gerald H. Learn publication distribution in Microbiology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Microbiology in 2026. The highlighted bar marks where Gerald H. Learn sits on this spectrum.

55–64 publications: 8 scientists 65–74 publications: 29 scientists 75–84 publications: 55 scientists 85–94 publications: 112 scientists 95–104 publications: 137 scientists 105–114 publications: 190 scientists 115–124 publications: 235 scientists 125–134 publications: 234 scientists 135–144 publications: 288 scientists 145–154 publications: 264 scientists 155–164 publications: 264 scientists 165–174 publications: 253 scientists 175–184 publications: 276 scientists 185–194 publications: 190 scientists 195–204 publications: 233 scientists 205–214 publications: 207 scientists 215–224 publications: 198 scientists 225–234 publications: 155 scientists 235–244 publications: 161 scientists 245–254 publications: 160 scientists 255–264 publications: 146 scientists 265–274 publications: 139 scientists 275–284 publications: 148 scientists 285–294 publications: 115 scientists 295–304 publications: 96 scientists 305–314 publications: 88 scientists 315–324 publications: 106 scientists 325–334 publications: 65 scientists 335–344 publications: 76 scientists 345–354 publications: 64 scientists 355–364 publications: 62 scientists 365–374 publications: 65 scientists 375–384 publications: 61 scientists 385–394 publications: 34 scientists 395–404 publications: 44 scientists 405–414 publications: 36 scientists 415–424 publications: 35 scientists 425–434 publications: 29 scientists 435–444 publications: 33 scientists 445–454 publications: 34 scientists 455–464 publications: 25 scientists 465–474 publications: 26 scientists 475–484 publications: 20 scientists 485–494 publications: 19 scientists 495–504 publications: 16 scientists 505–514 publications: 17 scientists 515–524 publications: 23 scientists 525–534 publications: 14 scientists 535–544 publications: 14 scientists 545–554 publications: 18 scientists 555–564 publications: 12 scientists 565–574 publications: 7 scientists 575–584 publications: 9 scientists 585–594 publications: 9 scientists 595–604 publications: 9 scientists 605–614 publications: 7 scientists 615–624 publications: 9 scientists 625–634 publications: 7 scientists 635–644 publications: 4 scientists 645–654 publications: 5 scientists 655–664 publications: 6 scientists 665–674 publications: 7 scientists 675–678 publications: 3 scientists 679+ publications: 99 scientists
55 publications 679+

This scientist: 146 publications — 24th percentile

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

The last bar groups every scientist with 679 publications or more.

Gerald H. Learn D-index placement in Microbiology in 2026

The chart shows the D-index (discipline H-index) distribution of Microbiology scientists ranked by Research.com in 2026. The highlighted bar marks where Gerald H. Learn sits on this spectrum.

40 D-Index: 30 scientists 41 D-Index: 86 scientists 42 D-Index: 90 scientists 43 D-Index: 117 scientists 44 D-Index: 122 scientists 45 D-Index: 123 scientists 46 D-Index: 108 scientists 47 D-Index: 110 scientists 48 D-Index: 106 scientists 49 D-Index: 109 scientists 50 D-Index: 129 scientists 51 D-Index: 111 scientists 52 D-Index: 116 scientists 53 D-Index: 127 scientists 54 D-Index: 134 scientists 55 D-Index: 134 scientists 56 D-Index: 111 scientists 57 D-Index: 136 scientists 58 D-Index: 162 scientists 59 D-Index: 151 scientists 60 D-Index: 139 scientists 61 D-Index: 122 scientists 62 D-Index: 126 scientists 63 D-Index: 144 scientists 64 D-Index: 109 scientists 65 D-Index: 103 scientists 66 D-Index: 124 scientists 67 D-Index: 112 scientists 68 D-Index: 103 scientists 69 D-Index: 131 scientists 70 D-Index: 93 scientists 71 D-Index: 93 scientists 72 D-Index: 96 scientists 73 D-Index: 92 scientists 74 D-Index: 80 scientists 75 D-Index: 66 scientists 76 D-Index: 87 scientists 77 D-Index: 60 scientists 78 D-Index: 73 scientists 79 D-Index: 59 scientists 80 D-Index: 57 scientists 81 D-Index: 55 scientists 82 D-Index: 47 scientists 83 D-Index: 77 scientists 84 D-Index: 50 scientists 85 D-Index: 45 scientists 86 D-Index: 42 scientists 87 D-Index: 41 scientists 88 D-Index: 32 scientists 89 D-Index: 38 scientists 90 D-Index: 35 scientists 91 D-Index: 34 scientists 92 D-Index: 27 scientists 93 D-Index: 26 scientists 94 D-Index: 33 scientists 95 D-Index: 22 scientists 96 D-Index: 37 scientists 97 D-Index: 22 scientists 98 D-Index: 21 scientists 99 D-Index: 22 scientists 100 D-Index: 30 scientists 101 D-Index: 16 scientists 102 D-Index: 20 scientists 103 D-Index: 17 scientists 104 D-Index: 19 scientists 105 D-Index: 16 scientists 106 D-Index: 19 scientists 107 D-Index: 18 scientists 108 D-Index: 14 scientists 109 D-Index: 10 scientists 110 D-Index: 9 scientists 111 D-Index: 7 scientists 112 D-Index: 11 scientists 113 D-Index: 6 scientists 114 D-Index: 15 scientists 115 D-Index: 10 scientists 116 D-Index: 12 scientists 117 D-Index: 7 scientists 118 D-Index: 10 scientists 119 D-Index: 10 scientists 120 D-Index: 11 scientists 121 D-Index: 2 scientists 122 D-Index: 7 scientists 123 D-Index: 12 scientists 124 D-Index: 5 scientists 125 D-Index: 9 scientists 126 D-Index: 6 scientists 127+ D-Index: 95 scientists
40 D-Index 127+

This scientist: 76 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 127 D-Index or more.

Overview

Gerald H. Learn is affiliated with the University of Pennsylvania in the United States. Their research primarily spans the fields of Immunology and Microbiology as well as Medicine, with a focus on Virology and Infectious Diseases. Subfields also include Epidemiology, Emergency Medicine, and Paleontology, reflecting a breadth of scientific inquiry.

The main topics of their work revolve around HIV research and treatment, encompassing HIV/AIDS research and interventions and related areas such as HIV, drug use, sexual risk, and HIV-related health complications and treatments. Their research additionally contributes to evolution and paleontology studies, genomics and phylogenetic studies, and investigations into immune cell function and interaction.

Gerald H. Learn has several recent publications, including:

  • "High Multiplicity Infection by HIV-1 in Men Who Have Sex with Men," 2020, UNC Libraries
  • "Correction for Rudicell et al., "High Prevalence of Simian Immunodeficiency Virus Infection in a Community of Savanna Chimpanzees"," 2022, Journal of Virology
  • "Genetic identity, biological phenotype, and evolutionary pathways of transmitted/founder viruses in acute and early HIV-1 infection," 2020, UNC Libraries
  • "Phylogenetic Hypotheses for the Monocotyledons Constructed from rbcL Sequence Data," 2021, ScholarWorks (Boise State University)
  • "The first T cell response to transmitted/founder virus contributes to the control of acute viremia in HIV-1 infection," 2020, UNC Libraries

Frequent collaborators in their work include:

  • Beatrice H. Hahn
  • George M. Shaw
  • Jesus F. Salazar-Gonzalez
  • Maria G. Salazar
  • Peter Hraber

The most common venues for their publications are:

  • UNC Libraries
  • Journal of Virology
  • ScholarWorks (Boise State University)

Best Publications

  • HIV-1 Nomenclature Proposal

    DL Robertson;JP Anderson;JA Bradac;JK Carr

  • CD8+ T-cell responses to different HIV proteins have discordant associations with viral load

    Photini Kiepiela;Kholiswa Ngumbela;Christina Thobakgale;Dhanwanthie Ramduth

  • Consistent viral evolutionary changes associated with the progression of human immunodeficiency virus type 1 infection

    Raj Shankarappa;Joseph B. Margolick;Stephen J. Gange;Allen G. Rodrigo

  • Genetic identity, biological phenotype, and evolutionary pathways of transmitted/founder viruses in acute and early HIV-1 infection.

    Jesus F. Salazar-Gonzalez;Maria G. Salazar;Brandon F. Keele;Gerald H. Learn

  • The first T cell response to transmitted/founder virus contributes to the control of acute viremia in HIV-1 infection

    Nilu Goonetilleke;Michael K.P. Liu;Jesus F. Salazar-Gonzalez;Guido Ferrari

  • Origin of the human malaria parasite Plasmodium falciparum in gorillas

    Weimin Liu;Yingying Li;Gerald H Learn;Rebecca S Rudicell

  • Rates and patterns of chloroplast DNA evolution.

    Michael T. Clegg;Brandon S. Gaut;Gerald H. Learn;Brian R. Morton

  • HIV-1 antibody 3BNC117 suppresses viral rebound in humans during treatment interruption

    Johannes F. Scheid;Johannes F. Scheid;Joshua A. Horwitz;Yotam Bar-On;Edward F. Kreider

  • Antibody 10-1074 suppresses viremia in HIV-1-infected individuals

    Marina Caskey;Till Schoofs;Henning Gruell;Allison Settler

  • Effect of HIV Antibody VRC01 on Viral Rebound after Treatment Interruption

    Katharine J Bar;Michael C Sneller;Linda J Harrison;J Shawn Justement

  • Tetherin-Driven Adaptation of Vpu and Nef Function and the Evolution of Pandemic and Nonpandemic HIV-1 Strains

    Daniel Sauter;Michael Schindler;Anke Specht;Wilmina N. Landford

  • HIV-1 Integration Landscape during Latent and Active Infection

    Lillian B. Cohn;Israel T. Silva;Israel T. Silva;Thiago Y. Oliveira;Rafael A. Rosales

  • Increased mortality and AIDS-like immunopathology in wild chimpanzees infected with SIVcpz

    Brandon F. Keele;Brandon F. Keele;James Holland Jones;Karen A. Terio;Jacob D. Estes

  • HIV-1 therapy with monoclonal antibody 3BNC117 elicits host immune responses against HIV-1

    Till Schoofs;Florian Klein;Florian Klein;Florian Klein;Malte Braunschweig;Malte Braunschweig;Edward F. Kreider

  • High Multiplicity Infection by HIV-1 in Men Who Have Sex with Men.

    Hui-Hui Li;Katharine J. Bar;Shuyi Wang;Julie M. Decker

  • Low-dose rectal inoculation of rhesus macaques by SIVsmE660 or SIVmac251 recapitulates human mucosal infection by HIV-1

    Brandon F. Keele;Hui Li;Gerald H. Learn;Peter Hraber

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

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

  • ViroBLAST: a stand-alone BLAST web server for flexible queries of multiple databases and user's datasets.

    Wenjie Deng;David C. Nickle;Gerald H. Learn;Brandon Maust

  • Dual HIV-1 infection associated with rapid disease progression.

    Geoffrey S. Gottlieb;David C. Nickle;Mark A. Jensen;Kim G. Wong

  • Origin of the HIV-1 group O epidemic in western lowland gorillas

    Mirela D’arc;Mirela D’arc;Ahidjo Ayouba;Amandine Esteban;Gerald H. Learn

  • Evidence that Low-Level Viremias during Effective Highly Active Antiretroviral Therapy Result from Two Processes: Expression of Archival Virus and Replication of Virus

    Nicole H. Tobin;Gerald H. Learn;Sarah E. Holte;Yang Wang

Frequent Co-Authors

Beatrice H. Hahn
Beatrice H. Hahn University of Pennsylvania
James I. Mullins
James I. Mullins University of Washington
George M. Shaw
George M. Shaw University of Pennsylvania
Paul M. Sharp
Paul M. Sharp University of Edinburgh
Bette T. Korber
Bette T. Korber Los Alamos National Laboratory
Brandon F. Keele
Brandon F. Keele National Institutes of Health
Bruce D. Walker
Bruce D. Walker Harvard University
Barton F. Haynes
Barton F. Haynes Duke University
David C. Nickle
David C. Nickle Monoceros Biosystems
Frederic Bibollet-Ruche
Frederic Bibollet-Ruche University of Pennsylvania

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 Microbiology in the USA opens doors to diverse career options beyond traditional lab roles. For those interested in healthcare, becoming a functional medicine NP blends advanced nursing expertise with an integrative approach to patient care, perfect for microbiology graduates seeking holistic health careers.

Alternatively, careers in health information management, such as a certified professional coder (CPC), offer a growing field that combines medical knowledge with data management, ideal for detail-oriented individuals looking to merge microbiology knowledge with administrative skills.

Microbiology graduates who are navigating unique challenges, such as individuals with criminal records, can explore college degrees for felons, ensuring education remains accessible and career pathways within science remain open despite past obstacles.

For those passionate about supporting specific populations, careers such as a child.life specialist salary reflect the growing demand for experts who help children cope with medical experiences—an area where microbiology knowledge can complement psychosocial support techniques.

Best Scientists Citing Gerald H. Learn

Trending Scientists

Recently Published Articles