World's Best Scientists 2026 revealed!

D-Index & Metrics

Microbiology

D-Index
40
Citations
10399
World Ranking
5484
National Ranking
460

Katherine E. Atkins 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 Katherine E. Atkins 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: 117 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Katherine E. Atkins 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 Katherine E. Atkins 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: 40 D-Index — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Best Publications

  • 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

  • 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

  • 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

  • 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

  • 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

  • Strategies for containing Ebola in West Africa.

    Abhishek Pandey;Katherine E. Atkins;Jan Medlock;Natasha Wenzel

  • Local adaptation and the evolution of species' ranges under climate change.

    K.E. Atkins;K.E. Atkins;J.M.J. Travis

  • Quarantine and testing strategies in contact tracing for SARS-CoV-2: a modelling study.

    Billy J. Quilty;Samuel Clifford;Joel Hellewell;Timothy W. Russell

  • Cholera epidemic in Yemen, 2016–18: an analysis of surveillance data

    Anton Camacho;Malika Bouhenia;Reema Alyusfi;Abdulhakeem Alkohlani

  • Reconstructing the early global dynamics of under-ascertained COVID-19 cases and infections.

    Timothy W. Russell;Nick Golding;Joel Hellewell;Sam Abbott

  • The potential health and economic value of SARS-CoV-2 vaccination alongside physical distancing in the UK: a transmission model-based future scenario analysis and economic evaluation.

    Frank G. Sandmann;Frank G. Sandmann;Nicholas G. Davies;Anna Vassall;W. John Edmunds

  • Seasonal influenza vaccination in China: Landscape of diverse regional reimbursement policy, and budget impact analysis.

    Juan Yang;Katherine E. Atkins;Katherine E. Atkins;Luzhao Feng;Mingfan Pang;Mingfan Pang

  • Within-host dynamics shape antibiotic resistance in commensal bacteria.

    Nicholas G. Davies;Stefan Flasche;Mark Jit;Mark Jit;Katherine E. Atkins;Katherine E. Atkins

  • Vaccination and reduced cohort duration can drive virulence evolution: Marek's disease virus and industrialized agriculture.

    Katherine E. Atkins;Katherine E. Atkins;Katherine E. Atkins;Andrew F. Read;Nicholas J. Savill;Katrin G. Renz

  • Response strategies for COVID-19 epidemics in African settings: a mathematical modelling study.

    Kevin van Zandvoort;Christopher I. Jarvis;Carl A. B. Pearson;Carl A. B. Pearson;Nicholas G. Davies

  • Social contacts, vaccination decisions and influenza in Japan.

    Yoko Ibuka;Yasushi Ohkusa;Tamie Sugawara;Gretchen B Chapman

  • Quantitative analyses and modelling to support achievement of the 2020 goals for nine neglected tropical diseases

    T. Déirdre Hollingsworth;Emily R. Adams;Roy M. Anderson;Katherine E. Atkins

  • Quantifying the economic cost of antibiotic resistance and the impact of related interventions: rapid methodological review, conceptual framework and recommendations for future studies

    Mark Jit;Mark Jit;Mark Jit;Dorothy Hui Lin Ng;Nantasit Luangasanatip;Nantasit Luangasanatip;Frank Sandmann;Frank Sandmann

  • The contribution of asymptomatic SARS-CoV-2 infections to transmission on the Diamond Princess cruise ship.

    Jon C Emery;Timothy W Russell;Yang Liu;Joel Hellewell

  • Stimulating Influenza Vaccination via Prosocial Motives.

    Meng Li;Eric G. Taylor;Katherine E. Atkins;Gretchen B. Chapman

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