World's Best Scientists 2026 revealed!
Dominik Grotegerd

Dominik Grotegerd

D-Index & Metrics

Neuroscience

D-Index
66
Citations
17655
World Ranking
2987
National Ranking
257

Dominik Grotegerd publication distribution in Neuroscience in 2026

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

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 264 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Dominik Grotegerd D-index placement in Neuroscience in 2026

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

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 66 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Dominik Grotegerd is affiliated with the University of Münster in Germany and has a substantial research profile centered on medicine, neuroscience, and psychology. Their work spans several subfields, including cognitive neuroscience, psychiatry and mental health, radiology and imaging, clinical psychology, and experimental and cognitive psychology.

The main topics of Dominik Grotegerd's research focus on functional brain connectivity studies, advanced neuroimaging techniques and applications, and mental health research topics. Additional research interests include bipolar disorder and its treatment, schizophrenia research and treatment, health, environment, and cognitive aging, as well as issues related to child abuse and trauma.

They have coauthored extensively with several frequent collaborators, including:

  • Udo Dannlowski
  • Tilo Kircher
  • Susanne Meinert
  • Igor Nenadić
  • Frederike Stein

Dominik Grotegerd's recent notable publications include:

  • "The genetic architecture of the human cerebral cortex," 2020, Science
  • "Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group," 2020, Molecular Psychiatry
  • "Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years," 2021, Human Brain Mapping
  • "Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA," 2020, NeuroImage
  • "Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders," 2020, JAMA Psychiatry

The frequent venues for their publications include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Molecular Psychiatry
  • Human Brain Mapping
  • Biological Psychiatry
  • Psychological Medicine

Dominik Grotegerd's body of work encompasses a comprehensive integration of clinical and experimental approaches to studying the brain and mental health. Their contributions to understanding psychiatric disorders through neuroimaging and genetic perspectives are reflected across multiple high-impact journals and collaborative research projects.

Best Publications

  • Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group.

    L Schmaal;D P Hibar;P G Sämann;G B Hall

  • Subcortical brain alterations in major depressive disorder : findings from the ENIGMA Major Depressive Disorder working group

    Tiffany C. Ho;Boris Gutman;Elena Pozzi;Hans J. Grabe

  • Limbic Scars: Long-Term Consequences of Childhood Maltreatment Revealed by Functional and Structural Magnetic Resonance Imaging

    Udo Dannlowski;Anja Stuhrmann;Victoria Beutelmann;Peter Zwanzger

  • The genetic architecture of the human cerebral cortex

    Katrina L. Grasby;Neda Jahanshad;Jodie N. Painter;Lucía Colodro-Conde

  • Cortical abnormalities in bipolar disorder : An MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group

    D P Hibar;L T Westlye;L T Westlye;N T Doan;N T Doan;N Jahanshad

  • White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working group

    Laura S. van Velzen;Sinead Kelly;Sinead Kelly;Dmitry Isaev;Andre Aleman

  • Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

    Laura K.M. Han;Richard Dinga;Richard Dinga;Tim Hahn;Christopher R.K. Ching

  • Brain morphometric biomarkers distinguishing unipolar and bipolar depression. A voxel-based morphometry-pattern classification approach.

    Ronny Redlich;Jorge J. R. Almeida;Dominik Grotegerd;Nils Opel

  • Childhood maltreatment is associated with an automatic negative emotion processing bias in the amygdala.

    Udo Dannlowski;Udo Dannlowski;Harald Kugel;Franziska Huber;Anja Stuhrmann

  • Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years

    Sophia Frangou;Amirhossein Modabbernia;Steven C. R. Williams;Efstathios Papachristou

  • Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data

    Ronny Redlich;Nils Opel;Dominik Grotegerd;Katharina Dohm

  • Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA.

    Joaquim Radua;Eduard Vieta;Russell Shinohara;Peter Kochunov

  • Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders

    Yash Patel;Nadine Parker;Jean Shin;Derek Howard

  • Hippocampal atrophy in major depression: a function of childhood maltreatment rather than diagnosis?

    Nils Opel;Ronny Redlich;Peter Zwanzger;Dominik Grotegerd

  • Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex

    Tulio Guadalupe;Samuel R. Mathias;Theo G.M. vanErp;Christopher D. Whelan;Christopher D. Whelan

  • Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals

    Pauline Favre;Pauline Favre;Melissa Pauling;Melissa Pauling;Jacques Stout;Franz Hozer

  • ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing

    Lianne Schmaal;Elena Pozzi;Tiffany C Ho;Tiffany C Ho;Laura S van Velzen

  • Quantifying Deviations of Brain Structure and Function in Major Depressive Disorder Across Neuroimaging Modalities.

    Unknown

  • Obesity and major depression: Body-mass index (BMI) is associated with a severe course of disease and specific neurostructural alterations.

    Nils Opel;Ronny Redlich;Dominik Grotegerd;Katharina Dohm

  • Reward Processing in Unipolar and Bipolar Depression: A Functional MRI Study.

    Ronny Redlich;Katharina Dohm;Dominik Grotegerd;Nils Opel

  • Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group

    Abraham Nunes;Hugo G. Schnack;Christopher R.K. Ching;Christopher R.K. Ching;Ingrid Agartz

Frequent Co-Authors

Udo Dannlowski
Udo Dannlowski University of Münster
Bernhard T. Baune
Bernhard T. Baune University of Münster
Ronny Redlich
Ronny Redlich University of Münster
Tilo Kircher
Tilo Kircher Philipp University of Marburg
Axel Krug
Axel Krug Philipp University of Marburg
Igor Nenadic
Igor Nenadic Philipp University of Marburg
Paul M. Thompson
Paul M. Thompson University of Southern California
Jonathan Repple
Jonathan Repple University Hospital Frankfurt
Neda Jahanshad
Neda Jahanshad University of Southern California
Lianne Schmaal
Lianne Schmaal University of Melbourne

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