World's Best Scientists 2026 revealed!

D-Index & Metrics

Microbiology

D-Index
82
Citations
38842
World Ranking
1034
National Ranking
474

Medicine

D-Index
90
Citations
47188
World Ranking
11971
National Ranking
6135

Mark Jit 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 Mark Jit 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: 265 scientists 155–164 publications: 264 scientists 165–174 publications: 253 scientists 175–184 publications: 276 scientists 185–194 publications: 190 scientists 195–204 publications: 234 scientists 205–214 publications: 208 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: 399 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Mark Jit 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 Mark Jit 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: 112 scientists 57 D-Index: 136 scientists 58 D-Index: 162 scientists 59 D-Index: 151 scientists 60 D-Index: 139 scientists 61 D-Index: 123 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: 94 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: 82 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Mark Jit is affiliated with the London School of Hygiene & Tropical Medicine in the United Kingdom. Their research primarily focuses on medicine, with significant contributions to epidemiology, health, modeling and simulation, infectious diseases, and economics and econometrics.

The scientist's work covers several key topics including:

  • Vaccine Coverage and Hesitancy
  • COVID-19 epidemiological studies
  • Influenza Virus Research Studies
  • SARS-CoV-2 and COVID-19 Research
  • Cervical Cancer and HPV Research
  • Respiratory viral infections research
  • Pneumonia and Respiratory Infections

Mark Jit has co-authored numerous publications with frequent collaborators such as Rosalind M. Eggo, Stefan Flasche, Simon R. Procter, Kaja Abbas, and Yang Liu.

The scientist has published extensively in several venues, with a notable number of papers featured in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Vaccine
  • BMC Medicine
  • SSRN Electronic Journal
  • BMJ Global Health

Among their recent papers are:

  • "Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts," 2020, published in The Lancet Global Health
  • "Early dynamics of transmission and control of COVID-19: a mathematical modelling study," 2020, published in The Lancet Infectious Diseases
  • "Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England," 2021, published in Science
  • "The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study," 2020, published in The Lancet Public Health
  • "Age-dependent effects in the transmission and control of COVID-19 epidemics," 2020, published in Nature Medicine

Best Publications

  • Social contacts and mixing patterns relevant to the spread of infectious diseases.

    Joël Mossong;Niel Hens;Mark Jit;Philippe Beutels

  • Early dynamics of transmission and control of COVID-19: a mathematical modelling study.

    Adam J Kucharski;Timothy W Russell;Charlie Diamond;Yang Liu

  • Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts

    Joel Hellewell;Sam Abbott;Amy Gimma;Nikos I Bosse

  • The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study

    Kiesha Prem;Yang Liu;Timothy W Russell;Adam J Kucharski

  • Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England.

    Nicholas G. Davies;Sam Abbott;Rosanna C. Barnard;Christopher I. Jarvis

  • Age-dependent effects in the transmission and control of COVID-19 epidemics.

    Nicholas G. Davies;Petra Klepac;Yang Liu;Kiesha Prem

  • Challenges in ensuring global access to COVID-19 vaccines: production, affordability, allocation, and deployment.

    Olivier J Wouters;Kenneth C Shadlen;Maximilian Salcher-Konrad;Andrew J Pollard

  • Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study.

    Andrew Clark;Mark Jit;Charlotte Warren-Gash;Bruce Guthrie

  • Projecting social contact matrices in 152 countries using contact surveys and demographic data.

    Kiesha Prem;Alex R. Cook;Mark Jit;Mark Jit

  • Increased mortality in community-tested cases of SARS-CoV-2 lineage B.1.1.7.

    Nicholas G. Davies;Christopher I. Jarvis;W. John Edmunds;Nicholas P. Jewell

  • Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study.

    Adam J. Kucharski;Petra Klepac;Petra Klepac;Andrew J. K. Conlan;Stephen M. Kissler

  • Effects of non-pharmaceutical interventions on COVID-19 cases, deaths, and demand for hospital services in the UK: a modelling study.

    Nicholas G Davies;Adam J Kucharski;Rosalind M Eggo;Amy Gimma

  • Impact of HPV vaccination and cervical screening on cervical cancer elimination: a comparative modelling analysis in 78 low-income and lower-middle-income countries.

    Marc Brisson;Marc Brisson;Jane J. Kim;Karen Canfell;Karen Canfell;Karen Canfell;Mélanie Drolet

  • Cross-protective efficacy of two human papillomavirus vaccines: a systematic review and meta-analysis

    Talía Malagón;Mélanie Drolet;Marie-Claude Boily;Eduardo L Franco

  • Estimated transmissibility and severity of novel SARS-CoV-2 Variant of Concern 202012/01 in England

    Nicholas G Davies;Sam Abbott;Rosanna C. Barnard;Christopher I. Jarvis

  • The impact of non-pharmaceutical interventions on SARS-CoV-2 transmission across 130 countries and territories.

    Yang Liu;Christian Morgenstern;James Kelly;Rachel Lowe

  • Routine childhood immunisation during the COVID-19 pandemic in Africa: a benefit-risk analysis of health benefits versus excess risk of SARS-CoV-2 infection.

    Kaja Abbas;Simon R Procter;Kevin van Zandvoort;Andrew Clark

  • Economic evaluation of human papillomavirus vaccination in the United Kingdom.

    Mark Jit;Yoon Hong Choi;W John Edmunds

  • Population-level impact, herd immunity, and elimination after human papillomavirus vaccination: a systematic review and meta-analysis of predictions from transmission-dynamic models

    Marc Brisson;Marc Brisson;Élodie Bénard;Melanie Drolet;Johannes A. Bogaards

  • Adjusting for Inflation and Currency Changes Within Health Economic Studies

    Hugo C. Turner;Jeremy A. Lauer;Bach Xuan Tran;Yot Teerawattananon

  • Cost-effectiveness of female human papillomavirus vaccination in 179 countries: a PRIME modelling study

    Mark Jit;Mark Jit;Marc Brisson;Marc Brisson;Allison Portnoy;Raymond Hutubessy

Frequent Co-Authors

Stefan Flasche
Stefan Flasche Charité - University Medicine Berlin
W. John Edmunds
W. John Edmunds London School of Hygiene & Tropical Medicine
Raymond Hutubessy
Raymond Hutubessy World Health Organization
Kaja Abbas
Kaja Abbas City, University of London
Katherine E. Atkins
Katherine E. Atkins University of Edinburgh
Ibrahim Abubakar
Ibrahim Abubakar University College London
Hongjie Yu
Hongjie Yu Fudan University
Stéphane Verguet
Stéphane Verguet Harvard University
Graham F. Medley
Graham F. Medley London School of Hygiene & Tropical Medicine
Richard Gilson
Richard Gilson University College London

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Related Online Degrees & Career Pathways

Studying Microbiology in the USA opens doors not only to traditional laboratory roles but also to diverse career pathways in healthcare, public health, and specialized clinical support. For those interested in expanding their qualifications, there are online medical degrees available, providing flexibility for working professionals and students alike.

Public health is a natural extension of microbiology studies. Pursuing an online MPH programs easy to get into is a practical option for many, offering an accessible route into roles focused on disease prevention and health promotion.

Some microbiology graduates also choose careers supporting patient well-being beyond the lab. For example, becoming a child life specialist involves helping children cope with hospital experiences, a career path with its own financial considerations detailed under child.life specialist salary.

Importantly, higher education opportunities in microbiology and related fields are increasingly inclusive. Many online colleges that accept felons help students with diverse backgrounds advance their education and build rewarding careers.

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