World's Best Scientists 2026 revealed!
Bertram Müller-Myhsok

Bertram Müller-Myhsok

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Genetics
Germany
2024
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Genetics and Molecular Biology
Germany
2024

D-Index & Metrics

Genetics

D-Index
119
Citations
75672
World Ranking
385
National Ranking
26

Medicine

D-Index
123
Citations
79184
World Ranking
3281
National Ranking
177

Bertram Müller-Myhsok 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 Bertram Müller-Myhsok 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: 495 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Bertram Müller-Myhsok 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 Bertram Müller-Myhsok 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: 119 D-Index — 91st percentile

91% 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
  • 2024 - Research.com Genetics and Molecular Biology in Germany Leader Award
  • 2023 - Research.com Genetics in Germany Leader Award

Overview

Bertram Müller-Myhsok is affiliated with the Max Planck Society in Germany. Their research focuses primarily on medicine and biochemistry, genetics, and molecular biology, with a particular concentration on genetics, molecular biology, psychiatry and mental health, epidemiology, and radiology, nuclear medicine and imaging.

The scientist's work covers a range of topics including genetic associations and epidemiology, stress responses and cortisol, functional brain connectivity studies, mental health research topics, genetics and neurodevelopmental disorders, bioinformatics and genomic networks, and migraine and headache studies.

Notable recent publications include the following papers:

  • "Minimal phenotyping yields genome-wide association signals of low specificity for major depression" (2020) published in Nature Genetics
  • "Discovery of 42 genome-wide significant loci associated with dyslexia" (2022) published in Nature Genetics
  • "Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders" (2021) published in Biological Psychiatry
  • "Genome-wide association study reveals new insights into the heritability and genetic correlates of developmental dyslexia" (2020) published in Molecular Psychiatry
  • "Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people" (2022) published in Proceedings of the National Academy of Sciences

Bertram Müller-Myhsok has frequently published in venues such as bioRxiv (Cold Spring Harbor Laboratory), Translational Psychiatry, Scientific Reports, The Thoracic and Cardiovascular Surgeon, and Nature Genetics.

The scientist has collaborated extensively with several co-authors:

  • Till F. M. Andlauer
  • Markus M. Nöthen
  • Marcella Rietschel
  • Nicholas G. Martin
  • Andreas J. Forstner

Best Publications

  • Biological insights from 108 schizophrenia-associated genetic loci

    Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters

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

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

  • Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

    Naomi R. Wray;Stephan Ripke;Stephan Ripke;Stephan Ripke;Manuel Mattheisen;MacIej Trzaskowski

  • Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

    S. Hong Lee;Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Stephen V. Faraone

  • Analysis of shared heritability in common disorders of the brain

    Verneri Anttila;Verneri Anttila;Brendan Bulik-Sullivan;Brendan Bulik-Sullivan;Hilary K. Finucane;Raymond K. Walters;Raymond K. Walters

  • Genome-wide association study identifies 30 loci associated with bipolar disorder

    Eli A. Stahl;Eli A. Stahl;Gerome Breen;Andreas J. Forstner;Andrew McQuillin

  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

    Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev

  • Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology

    Niamh Mullins;Andreas J. Forstner;Andreas J. Forstner;Andreas J. Forstner;Kevin S. O'Connell;Kevin S. O'Connell;Brandon Coombes

  • Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

    Phil H. Lee;Verneri Anttila;Hyejung Won;Yen-Chen A. Feng

  • Large-scale genotyping identifies 41 new loci associated with breast cancer risk

    Kyriaki Michailidou;Per Hall;Anna Gonzalez-Neira;Maya Ghoussaini

  • A mega-analysis of genome-wide association studies for major depressive disorder

    Stephan Ripke;Naomi R Wray;Cathryn M Lewis;Steven P Hamilton

  • Polymorphisms in FKBP5 are associated with increased recurrence of depressive episodes and rapid response to antidepressant treatment

    Elisabeth B Binder;Daria Salyakina;Peter Lichtner;Gabriele M Wochnik

  • Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

    Christian R Marshall;Daniel P Howrigan;Daniel P Howrigan;Daniele Merico;Bhooma Thiruvahindrapuram

  • Common genetic variants influence human subcortical brain structures.

    Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez

  • Germline mutations in breast and ovarian cancer pedigrees establish RAD51C as a human cancer susceptibility gene

    Alfons Meindl;Heide Hellebrand;Constanze Wiek;Verena Erven

  • The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

    Paul M. Thompson;Jason L. Stein;Sarah E. Medland;Derrek P. Hibar

  • Genome-wide association study of restless legs syndrome identifies common variants in three genomic regions

    Juliane Winkelmann;Barbara Schormair;Peter Lichtner;Stephan Ripke

  • Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine

    Padhraig Gormley;Verneri Anttila;Verneri Anttila;Bendik S. Winsvold;Bendik S. Winsvold;Priit Palta

  • Identification of common variants associated with human hippocampal and intracranial volumes

    Jason L Stein;Sarah E Medland;Sarah E Medland;Alejandro Arias Vasquez;Alejandro Arias Vasquez;Derrek P Hibar

  • A mega-analysis of genome-wide association studies for major depressive disorder

    S. Ripke;N. R. Wray;C. M. Lewis;S. P. Hamilton

Frequent Co-Authors

Florian Holsboer
Florian Holsboer Max Planck Institute of Psychiatry
Markus M. Nöthen
Markus M. Nöthen University Hospital Bonn
Sven Cichon
Sven Cichon University of Basel
Marcus Ising
Marcus Ising Max Planck Society
Stephan Ripke
Stephan Ripke Massachusetts General Hospital
Elisabeth B. Binder
Elisabeth B. Binder Max Planck Society
Stefan Herms
Stefan Herms University of Basel
Manfred Uhr
Manfred Uhr Max Planck Society
Per Hoffmann
Per Hoffmann University of Bonn
Marcella Rietschel
Marcella Rietschel Heidelberg University

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