World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
63
Citations
20123
World Ranking
3347
National Ranking
85

Bogdan Draganski 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 Bogdan Draganski 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: 220 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Bogdan Draganski 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 Bogdan Draganski 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: 63 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Bogdan Draganski is affiliated with the University of Lausanne in Switzerland. Their research spans primarily Medicine and Neuroscience, with main fields of study focusing on Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. Additional subfields include Genetics, Psychiatry and Mental Health, and Neurology.

Their work covers a range of topics, notably Advanced Neuroimaging Techniques and Applications, Functional Brain Connectivity Studies, and Advanced MRI Techniques and Applications. Other areas of research include Genomic Variations and Chromosomal Abnormalities, Congenital Heart Defects Research, Dementia and Cognitive Impairment Research, as well as Health Disparities and Outcomes.

Frequent co-authors collaborating with Bogdan Draganski include:

  • Ferath Kherif
  • Antoine Lutti
  • Martin Preisig
  • Clara Moreau
  • Péter Vollenweider

Common publication venues for their work feature:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Biological Psychiatry
  • Human Brain Mapping
  • Translational Psychiatry

Selected recent papers authored or co-authored by Bogdan Draganski include:

  • LifeTime and improving European healthcare through cell-based interceptive medicine, 2020, Nature
  • Mind the gap: Performance metric evaluation in brain-age prediction, 2022, Human Brain Mapping
  • GnRH replacement rescues cognition in Down syndrome, 2022, Science
  • Converging patterns of aging-associated brain volume loss and tissue microstructure differences, 2020, Neurobiology of Aging
  • Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs, 2021, Human Brain Mapping

Best Publications

  • Neuroplasticity: changes in grey matter induced by training.

    Bogdan Draganski;Christian Gaser;Volker Busch;Gerhard Schuierer

  • Automatic classification of MR scans in Alzheimer's disease

    Stefan Klöppel;Cynthia M. Stonnington;Carlton Chu;Bogdan Draganski

  • Temporal and Spatial Dynamics of Brain Structure Changes during Extensive Learning

    Bogdan Draganski;Christian Gaser;Gerd Kempermann;Hans-Georg Kuhn

  • Evidence for segregated and integrative connectivity patterns in the human Basal Ganglia.

    Bogdan Draganski;Ferath Kherif;Stefan Klöppel;Philip A Cook

  • How the Brain Translates Money into Force: A Neuroimaging Study of Subliminal Motivation

    Mathias Pessiglione;Liane Schmidt;Liane Schmidt;Bogdan Draganski;Bogdan Draganski;Raffael Kalisch;Raffael Kalisch

  • A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging

    Chloe Hutton;Bogdan Draganski;Bogdan Draganski;John Ashburner;Nikolaus Weiskopf

  • Dynamic Properties of Human Brain Structure: Learning-Related Changes in Cortical Areas and Associated Fiber Connections

    Marco Taubert;Bogdan Draganski;Alfred Anwander;Karsten Müller

  • Training-induced structural changes in the adult human brain.

    Bogdan Draganski;Arne May

  • Affective components and intensity of pain correlate with structural differences in gray matter in chronic back pain patients

    Schmidt-Wilcke T;Leinisch E;Gänssbauer S;Draganski B

  • Gray matter decrease in patients with chronic tension type headache

    T. Schmidt-Wilcke;E. Leinisch;A. Straube;N. Kämpfe

  • Confirmation of functional zones within the human subthalamic nucleus: patterns of connectivity and sub-parcellation using diffusion weighted imaging.

    Christian Lambert;Ludvic U. Zrinzo;Zoltán Nagy;Antoine Lutti

  • Widespread age-related differences in the human brain microstructure revealed by quantitative magnetic resonance imaging

    Martina F. Callaghan;Patrick Freund;Patrick Freund;Patrick Freund;Bogdan Draganski;Elaine Anderson

  • Regional specificity of MRI contrast parameter changes in normal ageing revealed by voxel-based quantification (VBQ)

    Bogdan Draganski;John Ashburner;Chloe Hutton;Ferat Kherif;Ferat Kherif

  • Defining the Effect of the 16p11.2 Duplication on Cognition, Behavior, and Medical Comorbidities.

    Debra D'Angelo;Sébastien Lebon;Qixuan Chen;Sandra Martin-Brevet

  • hMRI – A toolbox for quantitative MRI in neuroscience and clinical research

    Karsten Tabelow;Evelyne Balteau;John Ashburner;Martina F. Callaghan

  • Interpreting scan data acquired from multiple scanners: a study with Alzheimer's disease.

    Cynthia M. Stonnington;Geoffrey C. Y. Tan;Stefan Klöppel;Carlton Chu

  • Improved segmentation of deep brain grey matter structures using magnetization transfer (MT) parameter maps

    Gunther Helms;Bogdan Draganski;Bogdan Draganski;Richard S. J. Frackowiak;Richard S. J. Frackowiak;John Ashburner

  • Voxel-based morphometry reveals reduced grey matter volume in the temporal cortex of developmental prosopagnosics

    Lúcia Garrido;Nicholas Furl;Bogdan Draganski;Nikolaus Weiskopf

  • Decrease of thalamic gray matter following limb amputation.

    Bogdan Draganski;T. Moser;N. Lummel;S. Gänssbauer

  • The 16p11.2 locus modulates brain structures common to autism, schizophrenia and obesity

    A M Maillard;A Ruef;F Pizzagalli;E Migliavacca;E Migliavacca

  • Evidence for segregated and integrative connectivity patterns in the human basal ganglia

    Bogdan Draganski;F Kherif;Stefan Klöppel;PA Cook

Frequent Co-Authors

Ferath Kherif
Ferath Kherif University of Lausanne
Antoine Lutti
Antoine Lutti University of Lausanne
Richard S. J. Frackowiak
Richard S. J. Frackowiak École Polytechnique Fédérale de Lausanne
John Ashburner
John Ashburner University College London
Nikolaus Weiskopf
Nikolaus Weiskopf Max Planck Society
Juergen Dukart
Juergen Dukart Heinrich Heine University Düsseldorf
Arno Villringer
Arno Villringer Max Planck Institute for Human Cognitive and Brain Sciences
Arne May
Arne May Universität Hamburg
Jacques S. Beckmann
Jacques S. Beckmann University of Lausanne
Ulrich Bogdahn
Ulrich Bogdahn University of Regensburg

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