World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
107
Citations
40978
World Ranking
6275
National Ranking
610

Neuroscience

D-Index
107
Citations
40978
World Ranking
614
National Ranking
74

Thomas Foltynie 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 Thomas Foltynie 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: 486 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Thomas Foltynie 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 Thomas Foltynie 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: 107 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Overview

Thomas Foltynie is affiliated with University College London in the United Kingdom. Their research primarily focuses on the fields of Medicine and Neuroscience, with significant contributions to subfields such as Neurology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, and Physiology.

The main topics addressed in Foltynie's work include:

  • Parkinson's Disease Mechanisms and Treatments
  • Neurological disorders and treatments
  • Botulinum Toxin and Related Neurological Disorders
  • Genetic Neurodegenerative Diseases
  • Transcranial Magnetic Stimulation Studies
  • Autism Spectrum Disorder Research
  • Neuroscience and Neural Engineering

Their recent papers demonstrate a focus on Parkinson's disease and related neurological conditions. Notable publications include:

  • "Progress towards therapies for disease modification in Parkinson's disease," 2021, The Lancet Neurology
  • "Ambroxol for the Treatment of Patients With Parkinson Disease With and Without Glucocerebrosidase Gene Mutations," 2020, JAMA Neurology
  • "The Association Between Type 2 Diabetes Mellitus and Parkinson's Disease," 2020, Journal of Parkinson's Disease
  • "Diabetes medications and risk of Parkinson's disease: a cohort study of patients with diabetes," 2020, Brain
  • "Finding genetically-supported drug targets for Parkinson's disease using Mendelian randomization of the druggable genome," 2021, Nature Communications

Foltynie has collaborated extensively with other researchers, working most frequently with:

  • Patricia Limousin
  • Ludvic Zrinzo
  • Harith Akram
  • Nirosen Vijiaratnam
  • Huw R. Morris

Their work has appeared in several publication venues with multiple contributions, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Movement Disorders
  • Movement Disorders Clinical Practice
  • Journal of Parkinson's Disease
  • Brain

Best Publications

  • Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies

    Mike A Nalls;Cornelis Blauwendraat;Costanza L Vallerga;Karl Heilbron

  • Adaptive deep brain stimulation in advanced Parkinson disease

    Simon Little;Alex Pogosyan;Spencer Neal;Baltazar Zavala

  • Evolution of cognitive dysfunction in an incident Parkinson's disease cohort

    C. H. Williams-Gray;T. Foltynie;C. E. G. Brayne;T. W. Robbins

  • The distinct cognitive syndromes of Parkinson's disease: 5 year follow-up of the CamPaIGN cohort

    Caroline H. Williams-Gray;Jonathan R. Evans;An Goris;An Goris;Thomas Foltynie

  • Mild cognitive impairment in Parkinson disease: a multicenter pooled analysis.

    D. Aarsland;K. Bronnick;C. Williams-Gray;D. Weintraub

  • The cognitive ability of an incident cohort of Parkinson's patients in the UK. The CamPaIGN study

    Thomas Foltynie;Carol E. G. Brayne;Trevor W. Robbins;Roger A. Barker

  • Exenatide once weekly versus placebo in Parkinson's disease: a randomised, double-blind, placebo-controlled trial

    Dilan Athauda;Kate Maclagan;Simon S Skene;Martha Bajwa-Joseph

  • The CamPaIGN study of Parkinson's disease: 10-year outlook in an incident population-based cohort

    Caroline H Williams-Gray;Sarah L Mason;Jonathan R Evans;Thomas Foltynie

  • Heterogeneity of Parkinson’s disease in the early clinical stages using a data driven approach

    S J G Lewis;T Foltynie;A D Blackwell;T W Robbins

  • Exenatide and the treatment of patients with Parkinson’s disease

    Iciar Aviles-Olmos;John Dickson;Zinovia Kefalopoulou;Atbin Djamshidian

  • Resting oscillatory cortico-subthalamic connectivity in patients with Parkinson's disease

    Vladimir Litvak;Vladimir Litvak;Ashwani Jha;Ashwani Jha;Alexandre Eusebio;Robert Oostenveld

  • Parkinson's disease dementia: a neural networks perspective

    James Gratwicke;Marjan Jahanshahi;Thomas Foltynie

  • Deep brain stimulation can suppress pathological synchronisation in parkinsonian patients

    A Eusebio;W Thevathasan;L Doyle Gaynor;A Pogosyan

  • Long-term outcomes of deep brain stimulation in Parkinson disease

    Patricia Limousin;Tom Foltynie

  • The glucagon-like peptide 1 (GLP) receptor as a therapeutic target in Parkinson's disease: mechanisms of action.

    Dilan Athauda;Thomas Foltynie

  • Unbiased screen for interactors of leucine-rich repeat kinase 2 supports a common pathway for sporadic and familial Parkinson disease

    A. Beilina;I. N. Rudenko;A. Kaganovich;L. Civiero

  • Reducing hemorrhagic complications in functional neurosurgery: a large case series and systematic literature review.

    Ludvic Zrinzo;Thomas Foltynie;Patricia Limousin;Marwan I. Hariz;Marwan I. Hariz

  • Bilateral adaptive deep brain stimulation is effective in Parkinson's disease

    Simon Little;Martijn Beudel;Ludvic Zrinzo;Thomas Foltynie

  • A Two-Stage Meta-Analysis Identifies Several New Loci for Parkinson's Disease

    V. Plagnol;M.A. Nalls;J.M. Bras;D.G. Hernandez;D.G. Hernandez

  • 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

Frequent Co-Authors

Patricia Limousin
Patricia Limousin University College London
Ludvic Zrinzo
Ludvic Zrinzo University College London
Marwan Hariz
Marwan Hariz Umeå University
Peter Brown
Peter Brown University of Oxford
Roger A. Barker
Roger A. Barker University of Cambridge
Marjan Jahanshahi
Marjan Jahanshahi University College London
Nicholas W. Wood
Nicholas W. Wood University College London
Andrew J. Lees
Andrew J. Lees University College London
Huiling Tan
Huiling Tan University of Oxford
Kailash P. Bhatia
Kailash P. Bhatia University College London

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