World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
60
Citations
17653
World Ranking
3776
National Ranking
103

David Darby 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 David Darby 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: 231 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

David Darby 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 David Darby 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: 60 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

David Darby is affiliated with Monash University in Australia and has contributed extensively to medical research, particularly within the field of neurology. Their body of work encompasses illness-specific studies and broader investigations into neurological conditions.

Their recent notable papers include the following:

  • Donanemab in Early Symptomatic Alzheimer Disease, 2023, JAMA
  • Risk prediction of late-onset Alzheimer's disease implies an oligogenic architecture, 2020, Nature Communications
  • Asymmetric thinning of the cerebral cortex across the adult lifespan is accelerated in Alzheimer's disease, 2021, Nature Communications
  • Neurodegeneration Over 3 Years Following Ischaemic Stroke: Findings From the Cognition and Neocortical Volume After Stroke Study, 2021, Frontiers in Neurology
  • Plasma neurofilament light in behavioural variant frontotemporal dementia compared to mood and psychotic disorders, 2023, Australian & New Zealand Journal of Psychiatry

David Darby frequently collaborates with other researchers, including:

  • Amy Brodtmann
  • Daniel Merlo
  • Helmut Butzkueven
  • Anneke van der Walt
  • Tomáš Kalinčík

Common venues for their publications include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Multiple Sclerosis and Related Disorders
  • BMJ Case Reports
  • Journal of Alzheimer s Disease

The main field of study for David Darby is Medicine, with a particular focus on subfields such as Neurology, Psychiatry and Mental Health, Pathology and Forensic Medicine, Physiology, and Molecular Biology.

The core research topics they engage with include:

  • Dementia and Cognitive Impairment Research
  • Alzheimer's disease research and treatments
  • Amyotrophic Lateral Sclerosis Research
  • Multiple Sclerosis Research Studies
  • Neurological Disorders and Treatments
  • Health Systems, Economic Evaluations, Quality of Life
  • Functional Brain Connectivity Studies

Best Publications

  • Imaging beta-amyloid burden in aging and dementia.

    Christopher C Rowe;Steven Ng;Uwe Ackermann;Sylvia Gong

  • The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: Methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease

    Kathryn A Ellis;Ashley I Bush;David Darby;Daniela De Fazio

  • Qualitative mapping of cerebral blood flow and functional localization with echo-planar MR imaging and signal targeting with alternating radio frequency.

    Robert R. Edelman;Bettina Siewert;Bettina Siewert;David G. Darby;Venketasen Thangaraj

  • Acute hyperglycemia adversely affects stroke outcome: a magnetic resonance imaging and spectroscopy study

    Mark W. Parsons;P. Alan Barber;Patricia M. Desmond;Tracey A. Baird;Tracey A. Baird

  • Prediction of stroke outcome with echoplanar perfusion- and diffusion-weighted MRI

    P. A. Barber;D. G. Darby;P. M. Desmond;Q. Yang

  • The effects of practice on the cognitive test performance of neurologically normal individuals assessed at brief test–retest intervals

    Alex Collie;Paul M Maruff;David Gordon Darby;Michael McStephen

  • Practice Effects Associated with the Repeated Assessment of Cognitive Function Using the CogState Battery at 10-minute, One Week and One Month Test-retest Intervals

    Marina G. Falleti;Paul Maruff;Alexander Collie;David G. Darby

  • CogSport: reliability and correlation with conventional cognitive tests used in postconcussion medical evaluations.

    Alex Collie;Paul M Maruff;Michael Makdissi;Paul R McCrory

  • Prefrontal cortex fMRI signal changes are correlated with working memory load.

    Dara S. Manoach;Gottfried Schlaug;Bettina Siewert;David G. Darby

  • Pathophysiological Topography of Acute Ischemia by Combined Diffusion-Weighted and Perfusion MRI

    D. G. Darby;P. A. Barber;R. P. Gerraty;P. M. Desmond

  • Computerised cognitive assessment of athletes with sports related head injury

    A Collie;D Darby;D Darby;P Maruff;P Maruff

  • EEG-triggered echo-planar functional MRI in epilepsy

    S. Warach;J. R. Ives;G. Schlaug;M. R. Patel

  • Identification of Major Ischemic Change Diffusion-Weighted Imaging Versus Computed Tomography

    P. A. Barber;D. G. Darby;P. M. Desmond;R. P. Gerraty

  • A three-item scale for the early prediction of stroke recovery.

    Alison E. Baird;James Dambrosia;Sok Ja Janket;Quentin Eichbaum

  • Mild cognitive impairment can be detected by multiple assessments in a single day.

    David Darby;Paul M Maruff;Alex Collie;Michael McStephen

  • Aβ deposits in older non-demented individuals with cognitive decline are indicative of preclinical Alzheimer's disease

    Victor L Villemagne;Kerryn Elizabeth Pike;David Darby;Paul Maruff

  • Evaluation of the usability of a brief computerized cognitive screening test in older people for epidemiological studies.

    J Fredrickson;P Maruff;M Woodward;L Moore

  • Serial study of apparent diffusion coefficient and anisotropy in patients with acute stroke.

    Qing Yang;Brian M. Tress;P. Alan Barber;Patricia M. Desmond

  • Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture

    Qian Zhang;Julia Sidorenko;Baptiste Couvy-Duchesne;Riccardo E. Marioni

  • Heart rate variability and cognitive function: effects of physical effort.

    Caroline Di Bernardi Luft;Emílio Takase;David Darby

  • Computerised cognitive assessment of concussed Australian Rules footballers

    M Makdissi;A Collie;P Maruff;D G Darby

  • D-cycloserine added to clozapine for patients with schizophrenia.

    Donald C. Goff;Guochuan Tsai;Dara S. Manoach;James Flood

Frequent Co-Authors

Paul Maruff
Paul Maruff University of Melbourne
Ralph N. Martins
Ralph N. Martins Edith Cowan University
Christopher C. Rowe
Christopher C. Rowe University of Melbourne
Kathryn A. Ellis
Kathryn A. Ellis University of Melbourne
Victor L. Villemagne
Victor L. Villemagne University of Pittsburgh
Amy Brodtmann
Amy Brodtmann Florey Institute of Neuroscience and Mental Health
David Ames
David Ames University of Melbourne
Colin L. Masters
Colin L. Masters University of Melbourne
Cassandra Szoeke
Cassandra Szoeke University of Melbourne
Greg Savage
Greg Savage Macquarie University

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