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Genetics
Germany
2024

D-Index & Metrics

Medicine

D-Index
81
Citations
37827
World Ranking
16394
National Ranking
849

Genetics

D-Index
80
Citations
37408
World Ranking
1555
National Ranking
119

Norman Klopp publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Norman Klopp sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 204 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Norman Klopp D-index placement in Genetics in 2026

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

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 80 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Research.com Recognitions

  • 2024 - Research.com Genetics in Germany Leader Award
  • 2023 - Research.com Genetics in Germany Leader Award

Overview

Norman Klopp is affiliated with Hannover Medical School in Germany. Their research spans several areas within medicine and biochemistry, genetics, and molecular biology, with a focus on infectious diseases, molecular biology, genetics, hepatology, and immunology.

The scientist's work extensively covers topics related to SARS-CoV-2 and COVID-19 research, including COVID-19 epidemiological studies and clinical research studies. They have also contributed research on hepatitis B and C viruses, hepatitis virus studies and epidemiology, as well as vaccine coverage and hesitancy.

Notable recent publications include:

  • Genome-wide association study identifies 48 common genetic variants associated with handedness, 2020, Nature Human Behaviour
  • Safety and immunogenicity of an mRNA-lipid nanoparticle vaccine candidate against SARS-CoV-2, 2021, Wiener klinische Wochenschrift
  • SARS-CoV-2 seroprevalence in Germany - a population based sequential study in five regions, 2021, bioRxiv (Cold Spring Harbor Laboratory)
  • Comparative Magnitude and Persistence of Humoral SARS-CoV-2 Vaccination Responses in the Adult Population in Germany, 2022, Frontiers in Immunology
  • Children and Adolescents' Behavioral Patterns in Response to Escalating COVID-19 Restriction Reveal Sex and Age Differences, 2021, Journal of Adolescent Health

Frequent co-authors include:

  • Thomas Illig
  • Jana Prokein
  • Guðmar Þorleifsson
  • Daniela Gornyk
  • Manuela Harries

Many of the scientist's papers have appeared in venues such as UNC Libraries, bioRxiv (Cold Spring Harbor Laboratory), Pathogens, Nature Human Behaviour, and Wiener klinische Wochenschrift.

Best Publications

  • Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease

    Denise Harold;Richard Abraham;Paul Hollingworth;Rebecca Sims

  • Discovery and refinement of loci associated with lipid levels

    Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta;Gina M. Peloso;Gina M. Peloso;Gina M. Peloso

  • Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

    Stephen Sawcer;Garrett Hellenthal;Matti Pirinen;Chris C. A. Spencer

  • Erratum: Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease (Nature Genetics (2009) 41 (1088-1093))

    D Harold;R Abraham;P Hollingworth;R Sims

  • Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease.

    Paul Hollingworth;Denise Harold;Rebecca Sims;Amy Gerrish

  • Defining the role of common variation in the genomic and biological architecture of adult human height

    Andrew R. Wood;Tonu Esko;Jian Yang;Sailaja Vedantam

  • Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

    Benjamin F. Voight;Benjamin F. Voight;Laura J. Scott;Valgerdur Steinthorsdottir;Andrew P. Morris

  • Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

    Andrew P Morris;Benjamin F Voight;Benjamin F Voight;Tanya M Teslovich;Teresa Ferreira

  • Large-scale association analysis identifies new risk loci for coronary artery disease

    Panos Deloukas;Stavroula Kanoni;Christina Willenborg;Martin Farrall

  • Modulation of genetic associations with serum urate levels by body-mass-index in humans

    Jennifer E. Huffman;Eva Albrecht;Alexander Teumer;Massimo Mangino

  • Common variants associated with plasma triglycerides and risk for coronary artery disease

    Ron Do;Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta

  • A Mutation in VPS35, Encoding a Subunit of the Retromer Complex, Causes Late-Onset Parkinson Disease

    Alexander Zimprich;Anna Benet-Pagès;Walter Struhal;Elisabeth Graf

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

  • Identification of seven loci affecting mean telomere length and their association with disease

    Veryan Codd;Christopher P Nelson;Eva Albrecht;Massimo Mangino

  • Genome-wide association analyses identify 18 new loci associated with serum urate concentrations

    Anna Köttgen;Anna Köttgen;Eva Albrecht;Alexander Teumer;Veronique Vitart

  • Tobacco smoking leads to extensive genome-wide changes in DNA methylation.

    Sonja Zeilinger;Brigitte Kühnel;Norman Klopp;Hansjörg Baurecht;Hansjörg Baurecht

  • New loci associated with kidney function and chronic kidney disease

    Anna Köttgen;Anna Köttgen;Cristian Pattaro;Carsten A. Böger;Christian Fuchsberger

  • Genetic evidence implicates the immune system and cholesterol metabolism in the aetiology of Alzheimer's disease.

    Lesley Jones;Peter A. Holmans;Marian L. Hamshere;Denise Harold

  • Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimertextquotesingles disease

    Denise Harold;Richard Abraham;Paul Hollingworth;Rebecca Sims

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

Frequent Co-Authors

Thomas Illig
Thomas Illig Hannover Medical School
Christian Gieger
Christian Gieger Helmholtz Zentrum München
Samuli Ripatti
Samuli Ripatti University of Helsinki
Inês Barroso
Inês Barroso University of Exeter
Kari Stefansson
Kari Stefansson deCODE Genetics (Iceland)
Annette Peters
Annette Peters Ludwig-Maximilians-Universität München
Unnur Thorsteinsdottir
Unnur Thorsteinsdottir deCODE Genetics (Iceland)
André G. Uitterlinden
André G. Uitterlinden Erasmus University Rotterdam
Albert Hofman
Albert Hofman Harvard University
Markus Perola
Markus Perola Finnish Institute for Health and Welfare

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