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Genetics
Germany
2024

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Medicine 81 16394 15420 849 817 220 37827
Genetics 80 1555 1475 119 113 204 37408

Norman Klopp publications per year

The chart shows the history of publications by Norman Klopp between 1998 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Norman Klopp published across 27 years, from 1998 to 2024, averaging 8.4 papers a year. Output peaked at 27 publications in 2011. 19 of the 227 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1998 to 2024. Vertical axis: number of publications, 0 to 27. Peak 27 publications in 2011. 1998: 3 publications 1999: 0 publications 2000: 1 publication 2001: 2 publications 2002: 3 publications 2003: 1 publication 2004: 5 publications 2005: 6 publications 2006: 11 publications 2007: 7 publications 2008: 17 publications 2009: 16 publications 2010: 14 publications 2011: 27 publications 2012: 27 publications 2013: 19 publications 2014: 5 publications 2015: 12 publications 2016: 3 publications 2017: 15 publications 2018: 0 publications 2019: 6 publications 2020: 0 publications 2021: 7 publications 2022: 1 publication 2023: 16 publications 2024: 3 publications
1998 2024

227 publications in total across all disciplines

View publications per year as a table
Norman Klopp: publications per year, 1998 to 2024
Year Publications
1998 3
1999 0
2000 1
2001 2
2002 3
2003 1
2004 5
2005 6
2006 11
2007 7
2008 17
2009 16
2010 14
2011 27
2012 27
2013 19
2014 5
2015 12
2016 3
2017 15
2018 0
2019 6
2020 0
2021 7
2022 1
2023 16
2024 3
Total 227
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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.

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 195–204 publications, is where this scientist sits. 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
45–54 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.

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193
155–164 188
165–174 170
175–184 178
185–194 164
195–204 173 204
205–214 159
215–224 134
225–234 143
235–244 105
245–254 114
255–264 92
265–274 88
275–284 87
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40
355–364 48
365–374 47
375–384 46
385–394 31
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
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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.

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 80–81 D-Index, is where this scientist sits. 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
40–41 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.

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162
60–61 175
62–63 191
64–65 172
66–67 184
68–69 164
70–71 158
72–73 150
74–75 136
76–77 127
78–79 127
80–81 111 80
82–83 110
84–85 110
86–87 84
88–89 102
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
102–103 55
104–105 45
106–107 42
108–109 28
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
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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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