World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
47
Citations
13156
World Ranking
6311
National Ranking
504

Gary G. R. Green 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 Gary G. R. Green 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: 128 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Gary G. R. Green 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 Gary G. R. Green 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: 47 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Gary G. R. Green is affiliated with the University of York in the United Kingdom. Their research predominantly falls within the field of Medicine, with a focus on several subfields including Cognitive Neuroscience, Epidemiology, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, and Orthopedics and Sports Medicine.

The scientist's work covers a variety of main topics such as Cardiovascular Effects of Exercise, Sports injuries and prevention, Functional Brain Connectivity Studies, Traumatic Brain Injury Research, Travel-related health issues, Neural dynamics and brain function, and Nonlinear Dynamics and Pattern Formation.

Gary G. R. Green has contributed to several recent papers documented by their titles, years of publication, and publication venues:

  • Public Health Responses to COVID-19 Outbreaks on Cruise Ships - Worldwide, February-March 2020 (2020), MMWR Morbidity and Mortality Weekly Report
  • Prevalence of Inflammatory Heart Disease Among Professional Athletes With Prior COVID-19 Infection Who Received Systematic Return-to-Play Cardiac Screening (2021), JAMA Cardiology
  • Return to sport for North American professional sport leagues in the context of COVID-19 (2020), British Journal of Sports Medicine
  • Tau pathology in early Alzheimer's disease is linked to selective disruptions in neurophysiological network dynamics (2020), Neurobiology of Aging
  • Molecular markers of telomere dysfunction and senescence are common findings in the usual interstitial pneumonia pattern of lung fibrosis (2021), Histopathology

Their frequent coauthors include:

  • J. Andrew Zhang
  • Andrew J. Quinn
  • Sarah J. A. Carr
  • John P. DiFiori
  • Gary S. Solomon

Gary G. R. Green's research is published in various venues, including multiple contributions to arXiv (Cornell University), and publications in MMWR Morbidity and Mortality Weekly Report, JAMA Cardiology, British Journal of Sports Medicine, and Neurobiology of Aging.

Best Publications

  • Analysis of Cancer Metabolism by Imaging Hyperpolarized Nuclei: Prospects for Translation to Clinical Research

    John Kurhanewicz;Daniel B. Vigneron;Kevin Brindle;Eduard Y. Chekmenev

  • Sensitivity to dynamic auditory and visual stimuli predicts nonword reading ability in both dyslexic and normal readers

    C. Witton;J.B. Talcott;P.C. Hansen;A.J. Richardson

  • The theory and practice of hyperpolarization in magnetic resonance using parahydrogen

    Richard A. Green;Ralph W. Adams;Simon B. Duckett;Ryan E. Mewis

  • Right parietal cortex is involved in the perception of sound movement in humans.

    Timothy D. Griffiths;Geraint Rees;Adrian Rees;Gary G. R. Green

  • Dynamic sensory sensitivity and children's word decoding skills.

    Joel B. Talcott;Caroline Witton;Maggie F. McLean;Peter C. Hansen

  • Perception of Sound-Source Motion by the Human Brain

    Jason D. Warren;Jason D. Warren;Brandon A. Zielinski;Gary G.R. Green;Josef P. Rauschecker

  • Spatial and temporal auditory processing deficits following right hemisphere infarction. A psychophysical study.

    T. D. Griffiths;A. Rees;C. Witton;P. M. Cross

  • A common neural substrate for the analysis of pitch and duration pattern in segmented sound

    Timothy D. Griffiths;Ingrid Johnsrude;Jennifer L. Dean;Gary G. R. Green

  • Steady-state evoked responses to sinusoidally amplitude-modulated sounds recorded in man.

    A. Rees;G.G.R. Green;R.H. Kay

  • Acupuncture needling sensation: the neural correlates of deqi using fMRI.

    Aziz U R Asghar;Gary Green;Mark F Lythgoe;George Lewith

  • Evidence for a sound movement area in the human cerebral cortex

    T. D. Griffiths;A. Rees;C. Witton;R. A. Shakir

  • Human brain areas involved in the analysis of auditory movement.

    Timothy D. Griffiths;Gary G. R. Green;Adrian Rees;Geraint Rees

  • Calculation of the Volterra kernels of non-linear dynamic systems using an artificial neural network

    Jonathan Wray;Gary G. R. Green

  • A hyperpolarized equilibrium for magnetic resonance

    Jan-Bernd Hövener;Niels Schwaderlapp;Thomas Lickert;Simon B. Duckett

  • Delivering strong 1H nuclear hyperpolarization levels and long magnetic lifetimes through signal amplification by reversible exchange

    Peter J. Rayner;Michael J. Burns;Alexandra M. Olaru;Philip Norcott

  • Optimization of SABRE for polarization of the tuberculosis drugs pyrazinamide and isoniazid

    Haifeng Zeng;Haifeng Zeng;Jiadi Xu;Jiadi Xu;Joseph Gillen;Joseph Gillen;Michael T. McMahon;Michael T. McMahon

  • Toward biocompatible nuclear hyperpolarization using signal amplification by reversible exchange: quantitative in situ spectroscopy and high-field imaging.

    Jan-Bernd Hövener;Jan-Bernd Hövener;Niels Schwaderlapp;Robert Borowiak;Robert Borowiak;Thomas Lickert

  • Neural networks, approximation theory, and finite precision computation

    Jonathan Wray;Gary G. R. Green

  • MEG demonstrates a supra-additive response to facial and vocal emotion in the right superior temporal sulcus

    Cindy C. Hagan;Will Woods;Sam Johnson;Andrew J. Calder

  • Probing signal amplification by reversible exchange using an NMR flow system

    Ryan E. Mewis;Kevin D. Atkinson;Michael J. Cowley;Simon B. Duckett

Frequent Co-Authors

Simon B. Duckett
Simon B. Duckett University of York
Adrian Rees
Adrian Rees Newcastle University
Timothy D. Griffiths
Timothy D. Griffiths University College London
Adrian C. Whitwood
Adrian C. Whitwood University of York
Gareth R. Barnes
Gareth R. Barnes University College London
John F. Stein
John F. Stein University of Oxford
Geraint Rees
Geraint Rees University College London
Peter C. Hansen
Peter C. Hansen University of Birmingham
Joel B. Talcott
Joel B. Talcott Aston University
Andrew W. Young
Andrew W. Young University of York

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