World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
92
Citations
39403
World Ranking
1011
National Ranking
29

Gaël Chételat 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 Gaël Chételat 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: 496 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.

Gaël Chételat 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 Gaël Chételat 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: 92 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Gaël Chételat is affiliated with the Université de Caen Normandie in France and has published extensively in fields related to medicine and neuroscience. Their research primarily focuses on areas including dementia and cognitive impairment, Alzheimer's disease, advanced neuroimaging, and related psychiatric and psychological topics.

The scientist's recent publications reflect a strong focus on Alzheimer's disease and diagnostic imaging techniques. Notable papers include "Amyloid-PET and 18F-FDG-PET in the diagnostic investigation of Alzheimer's disease and other dementias" (2020, The Lancet Neurology), which has received significant citations. Other recent works span topics such as Alzheimer disease in general (2021, Nature Reviews Disease Primers), brain charts development (2022, Nature), prevalence estimates of amyloid abnormality (2022, JAMA Neurology), and mindfulness effects on cognitive function (2021, Neuropsychology Review).

Their research intersects several main fields of study:

  • Medicine
  • Neuroscience

With subfields highlighting specialties including:

  • Psychiatry and Mental Health
  • Cognitive Neuroscience
  • Physiology
  • Experimental and Cognitive Psychology
  • Radiology, Nuclear Medicine and Imaging

Key research topics explored by the scientist include:

  • Dementia and Cognitive Impairment Research
  • Alzheimer's Disease Research and Treatments
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Mindfulness and Compassion Interventions
  • Sleep and Related Disorders
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Frequent publication venues demonstrate the scientist's active contribution to journals that focus on neurodegenerative disorders and neuroscience research, such as:

  • Alzheimer's & Dementia
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Alzheimer's Research & Therapy
  • Scientific Reports
  • Médecine du Sommeil

Collaboration is an important aspect of their work, with regular contributions alongside coauthors including:

  • Vincent de La Sayette
  • Julie Gonneaud
  • Denis Vivien
  • Natalie L. Marchant
  • Brigitte Landeau

Best Publications

  • A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease

    Frank Jessen;Frank Jessen;Rebecca E. Amariglio;Martin van Boxtel;Monique Breteler

  • Brain charts for the human lifespan

    Unknown

  • Prevalence of cerebral amyloid pathology in persons without dementia: a meta-analysis.

    Willemijn J. Jansen;Rik Ossenkoppele;Dirk L. Knol;Betty M. Tijms

  • Whitepaper: Defining and investigating cognitive reserve, brain reserve, and brain maintenance

    Yaakov Stern;Eider M. Arenaza-Urquijo;David Bartrés-Faz;Sylvie Belleville

  • Longitudinal Assessment of Aβ and Cognition in Aging and Alzheimer Disease

    Victor L Villemagne;Kerryn E Pike;Gaël Chételat;Kathryn A Ellis

  • In vivo mapping of gray matter loss with voxel-based morphometry in mild Alzheimer's disease.

    J.C. Baron;J.C. Baron;G. Chételat;B. Desgranges;G. Perchey

  • Mild cognitive impairment: Can FDG-PET predict who is to rapidly convert to Alzheimer’s disease?

    G. Chételat;B. Desgranges;V. de la Sayette;F. Viader

  • Prevalence of amyloid PET positivity in dementia syndromes: a meta-analysis.

    Rik Ossenkoppele;Willemijn J Jansen;Gil D Rabinovici;Dirk L Knol

  • Using voxel-based morphometry to map the structural changes associated with rapid conversion in MCI: a longitudinal MRI study.

    G. Chételat;B. Landeau;F. Eustache;F. Eustache;F. Mézenge

  • Early diagnosis of Alzheimer's disease: contribution of structural neuroimaging.

    G.aël Chetelat;Jean-Claude Baron

  • Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging

    Emilie Gerardin;Gaël Chételat;Marie Chupin;Rémi Cuingnet

  • Relationship between atrophy and beta-amyloid deposition in Alzheimer disease.

    Gaël Chételat;Victor L. Villemagne;Pierrick Bourgeat;Kerryn E. Pike

  • Perspectives on ethnic and racial disparities in Alzheimer's disease and related dementias: Update and areas of immediate need

    Ganesh M. Babulal;Yakeel T. Quiroz;Benedict C. Albensi;Eider Arenaza-Urquijo

  • Amyloid-PET and 18F-FDG-PET in the diagnostic investigation of Alzheimer's disease and other dementias

    Gaël Chételat;Javier Arbizu;Henryk Barthel;Valentina Garibotto

  • Subjective Cognitive Decline in Older Adults: An Overview of Self-Report Measures Used Across 19 International Research Studies

    Laura A. Rabin;Laura A. Rabin;Laura A. Rabin;Colette M. Smart;Paul K. Crane;Rebecca E. Amariglio

  • Voxel-based mapping of brain gray matter volume and glucose metabolism profiles in normal aging.

    Grégoria Kalpouzos;Gaël Chételat;Jean-Claude Baron;Jean-Claude Baron;Brigitte Landeau

  • Relationships between Hippocampal Atrophy, White Matter Disruption, and Gray Matter Hypometabolism in Alzheimer's Disease

    Nicolas Villain;Béatrice Desgranges;Fausto Viader;Vincent de la Sayette

  • Mapping gray matter loss with voxel-based morphometry in mild cognitive impairment.

    Gaël Chételat;Béatrice Desgranges;Vincent De La Sayette;Fausto Viader

  • Why musical memory can be preserved in advanced Alzheimer’s disease

    Jörn Henrik Jacobsen;Jörn Henrik Jacobsen;Johannes Stelzer;Johannes Stelzer;Thomas Hans Fritz;Thomas Hans Fritz;Gael Chételat

  • Region-specific hierarchy between atrophy, hypometabolism, and β-amyloid (Aβ) load in Alzheimer's disease dementia.

    Renaud La Joie;Audrey Perrotin;Louisa Barré;Caroline Hommet;Caroline Hommet

  • Amyloid imaging in cognitively normal individuals, at-risk populations and preclinical Alzheimer's disease.

    Gaël Chételat;Renaud La Joie;Nicolas Villain;Audrey Perrotin

  • Direct voxel-based comparison between grey matter hypometabolism and atrophy in Alzheimer's disease.

    G. Chételat;B. Desgranges;B. Landeau;F. Mézenge

Frequent Co-Authors

Francis Eustache
Francis Eustache Université de Caen Normandie
Béatrice Desgranges
Béatrice Desgranges Université de Caen Normandie
Vincent de la Sayette
Vincent de la Sayette Université de Caen Normandie
Victor L. Villemagne
Victor L. Villemagne University of Pittsburgh
Christopher C. Rowe
Christopher C. Rowe University of Melbourne
Brigitte Landeau
Brigitte Landeau Université de Caen Normandie
Renaud La Joie
Renaud La Joie University of California, San Francisco
Jean-Claude Baron
Jean-Claude Baron Université Paris Cité
Fausto Viader
Fausto Viader PSL University
Kathryn A. Ellis
Kathryn A. Ellis University of Melbourne

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