World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
114
Citations
54369
World Ranking
466
National Ranking
60

Geraint Rees 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 Geraint Rees 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: 532 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Geraint Rees 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 Geraint Rees 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: 114 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Overview

Geraint Rees is affiliated with University College London in the United Kingdom. Their research spans multiple disciplines primarily within Medicine and Neuroscience, with 90 and 67 publications respectively in these fields. The work covers a range of subfields including Cognitive Neuroscience, Neurology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, and Artificial Intelligence.

The scientist's research topics focus on areas such as Genetic Neurodegenerative Diseases, Neurological Disorders and Treatments, Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Mitochondrial Function and Pathology, Visual Perception and Processing Mechanisms, and Neural Dynamics and Brain Function.

Frequent coauthors collaborating with Geraint Rees include Parashkev Nachev, Sarah J. Tabrizi, Sébastien Ourselin, M. Jorge Cardoso, and Rachael I. Scahill. This collaborative network reflects interdisciplinary work across neurology, neuroimaging, and computational methods.

The scientist's recent publications demonstrate involvement in diverse investigations combining clinical applications and technological development in health sciences. Notable papers include:

  • Digital technologies in the public-health response to COVID-19 (2020), Nature Medicine
  • Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study (2021), Journal of Medical Internet Research
  • Predicting conversion to wet age-related macular degeneration using deep learning (2020), Nature Medicine
  • Biological and clinical characteristics of gene carriers far from predicted onset in the Huntington's disease Young Adult Study (HD-YAS): a cross-sectional analysis (2020), The Lancet Neurology
  • Unsupervised brain imaging 3D anomaly detection and segmentation with transformers (2022), Medical Image Analysis

Publication venues with multiple contributions include arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Journal of Neurology Neurosurgery & Psychiatry, Brain, and Journal of Medical Internet Research. These venues indicate a presence in both preprint repositories and peer-reviewed journals focused on neurology, neuroscience, and medical imaging.

Best Publications

  • Clinically applicable deep learning for diagnosis and referral in retinal disease

    Jeffrey De Fauw;Joseph R. Ledsam;Bernardino Romera-Paredes;Stanislav Nikolov

  • Decoding mental states from brain activity in humans

    John-Dylan Haynes;Geraint Rees

  • The Role of Working Memory in Visual Selective Attention

    Jan W. de Fockert;Geraint Rees;Christopher D. Frith;Nilli Lavie

  • Digital technologies in the public-health response to COVID-19.

    Jobie Budd;Jobie Budd;Benjamin S. Miller;Erin M. Manning;Vasileios Lampos

  • The structural basis of inter-individual differences in human behaviour and cognition

    Ryota Kanai;Geraint Rees;Geraint Rees

  • Predicting the orientation of invisible stimuli from activity in human primary visual cortex

    John-Dylan Haynes;Geraint Rees

  • A clinically applicable approach to continuous prediction of future acute kidney injury

    Nenad Tomašev;Xavier Glorot;Jack W. Rae;Michal Zielinski

  • Neural correlates of consciousness in humans

    Geraint Rees;Gabriel Kreiman;Christof Koch

  • Relating Introspective Accuracy to Individual Differences in Brain Structure

    Stephen M. Fleming;Rimona S. Weil;Rimona S. Weil;Zoltan Nagy;Raymond J. Dolan

  • Neural Correlates of Perceptual Rivalry in the Human Brain

    Erik D. Lumer;Karl J. Friston;Geraint Rees

  • Optimally Interacting Minds

    Bahador Bahrami;Karsten Olsen;Peter E. Latham;Andreas Roepstorff

  • Reading hidden intentions in the human brain.

    John-Dylan Haynes;Katsuyuki Sakai;Geraint Rees;Sam Gilbert

  • Nonlinear event-related responses in fMRI

    Karl J. Friston;Oliver Josephs;Geraint Rees;Robert Turner

  • A direct quantitative relationship between the functional properties of human and macaque V5

    Geraint Rees;Karl Friston;Christof Koch

  • Modulating Irrelevant Motion Perception by Varying Attentional Load in an Unrelated Task

    Geraint Rees;Christopher D. Frith;Nilli Lavie

  • Political orientations are correlated with brain structure in young adults

    Ryota Kanai;Tom Feilden;Colin Firth;Geraint Rees;Geraint Rees

  • An aberrant precision account of autism.

    Rebecca P. Lawson;Geraint Rees;Geraint Rees;Karl J. Friston

  • The physiological basis of attentional modulation in extrastriate visual areas

    D. Chawla;G. Rees;K. J. Friston

  • Emergence of resting state networks in the preterm human brain

    Valentina Doria;Christian F. Beckmann;Tomoki Arichi;Nazakat Merchant

  • Neural correlates of change detection and change blindness.

    Diane M. Beck;Geraint Rees;Christopher D. Frith;Nilli Lavie

  • Statistical Parametric Mapping

    Geraint Rees

Frequent Co-Authors

Bahador Bahrami
Bahador Bahrami Max Planck Society
Chris D. Frith
Chris D. Frith University College London
Sarah J. Tabrizi
Sarah J. Tabrizi University College London
Ryota Kanai
Ryota Kanai University of Sussex
Rachael I. Scahill
Rachael I. Scahill University College London
Nilli Lavie
Nilli Lavie University College London
John-Dylan Haynes
John-Dylan Haynes Charité - University Medicine Berlin
Adeel Razi
Adeel Razi Monash University
Karl J. Friston
Karl J. Friston University College London
Nikolaus Weiskopf
Nikolaus Weiskopf Max Planck Society

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