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Genetics
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2026

D-Index & Metrics

Best Scientists

D-Index
174
Citations
145659
World Ranking
733
National Ranking
32

Genetics

D-Index
176
Citations
146442
World Ranking
51
National Ranking
1

Medicine

D-Index
176
Citations
146586
World Ranking
412
National Ranking
16

Thomas Meitinger 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 Thomas Meitinger 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: 745 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Thomas Meitinger 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 Thomas Meitinger 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: 176 D-Index — 99th percentile

99% 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

  • 2026 - Research.com Genetics in Germany Leader Award
  • 2026 - Research.com Medicine in Germany Leader Award
  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Genetics in Germany Leader Award
  • 2024 - Research.com Genetics in Germany Leader Award
  • 2024 - Research.com Genetics and Molecular Biology in Germany Leader Award
  • 2023 - Research.com Genetics in Germany Leader Award
  • 2023 - Research.com Genetics and Molecular Biology in Germany Leader Award
  • 2022 - Research.com Genetics and Molecular Biology in Germany Leader Award

Overview

Thomas Meitinger is affiliated with the Technical University of Munich in Germany. Their research spans multiple disciplines predominantly within Biochemistry, Genetics, and Molecular Biology, as well as Medicine. Meitinger's work is distributed over various subfields including Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Surgery, and Neurology.

The scientist's primary research topics include:

  • Genetic Associations and Epidemiology
  • Genomics and Rare Diseases
  • RNA modifications and cancer
  • Epigenetics and DNA Methylation
  • Congenital heart defects research
  • Cardiac electrophysiology and arrhythmias
  • Genetics and Neurodevelopmental Disorders

Meitinger's publication record features contributions in several notable venues, including:

  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Brain
  • Nature Genetics

The scientist has collaborated frequently with several peers, such as Holger Prokisch, Annette Peters, Matias Wagner, Christian Gieger, and Robert Kopajtich.

Representative recent papers authored or co-authored by Meitinger include:

  • "Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants," 2022, Nature Genetics
  • "Shared genetic pathways contribute to risk of hypertrophic and dilated cardiomyopathies with opposite directions of effect," 2021, Nature Genetics
  • "Clinical implementation of RNA sequencing for Mendelian disease diagnostics," 2022, Genome Medicine
  • "Genetic variation influencing DNA methylation provides insights into molecular mechanisms regulating genomic function," 2022, Nature Genetics
  • "Transethnic Genome-Wide Association Study Provides Insights in the Genetic Architecture and Heritability of Long QT Syndrome," 2020, Circulation

Best Publications

  • Biological, clinical and population relevance of 95 loci for blood lipids

    Tanya M. Teslovich;Kiran Musunuru;Albert V. Smith;Andrew C. Edmondson

  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda

  • Mutations in LRRK2 Cause Autosomal-Dominant Parkinsonism with Pleomorphic Pathology

    Alexander Zimprich;Alexander Zimprich;Saskia Biskup;Petra Leitner;Peter Lichtner

  • A reference panel of 64,976 haplotypes for genotype imputation

    Shane McCarthy;Sayantan Das;Warren Kretzschmar;Olivier Delaneau

  • Genomewide association analysis of coronary artery disease.

    Nilesh J. Samani;Jeanette Erdmann;Alistair S. Hall;Christian Hengstenberg

  • A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease

    M Nikpay;A Goel;Won H-H.;L M Hall

  • Hundreds of variants clustered in genomic loci and biological pathways affect human height

    Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt

  • Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

    Georg B. Ehret;Georg B. Ehret;Georg B. Ehret;Patricia B. Munroe;Kenneth M. Rice;Murielle Bochud

  • Transcriptome and genome sequencing uncovers functional variation in humans

    Tuuli Lappalainen;Michael Sammeth;Marc R. Friedländer;Peter A. C. ‘t Hoen

  • 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 identifies 13 new susceptibility loci for coronary artery disease

    Heribert Schunkert;Inke R. König;Sekar Kathiresan;Muredach P. Reilly

  • Six new loci associated with body mass index highlight a neuronal influence on body weight regulation

    Cristen J. Willer;Elizabeth K. Speliotes;Elizabeth K. Speliotes;Ruth J. F. Loos;Shengxu Li

  • Systematic identification of trans eQTLs as putative drivers of known disease associations

    Harm-Jan Westra;Marjolein J Peters;Tõnu Esko;Hanieh Yaghootkar

  • A genome-wide association search for type 2 diabetes genes in African Americans.

    N D Palmer;C W McDonough;P J Hicks;B H Roh

  • Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.

    Anubha Mahajan;Daniel Taliun;Matthias Thurner;Neil R. Robertson

  • Autosomal dominant hypophosphataemic rickets is associated with mutations in FGF23

    Kenneth E. White;Wayne E. Evans;Jeffery L.H. O'Riordan;Marcy C. Speer

  • Genome-wide association study identifies eight loci associated with blood pressure

    Christopher Newton-Cheh;Christopher Newton-Cheh;Toby Johnson;Toby Johnson;Vesela Gateva;Martin D. Tobin

  • A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease

    Majid Nikpay;Anuj Goel;Hong-Hee Won;Leanne M. Hall

  • Hundreds of variants clustered in genomic loci and biological pathways affect human height

    H. Lango Allen;K. Estrada;G. Lettre;S. I. Berndt

Frequent Co-Authors

Christian Gieger
Christian Gieger Helmholtz Zentrum München
Tim M. Strom
Tim M. Strom Technical University of Munich
Holger Prokisch
Holger Prokisch Technical University of Munich
André G. Uitterlinden
André G. Uitterlinden Erasmus University Rotterdam
Annette Peters
Annette Peters Ludwig-Maximilians-Universität München
Igor Rudan
Igor Rudan University of Edinburgh
Tobias B. Haack
Tobias B. Haack University of Tübingen
Albert Hofman
Albert Hofman Harvard University
Tonu Esko
Tonu Esko University of Tartu
Kari Stefansson
Kari Stefansson deCODE Genetics (Iceland)

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