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Medicine
UK
2023

D-Index & Metrics

Neuroscience

D-Index
156
Citations
151118
World Ranking
127
National Ranking
20

Martin N. Rossor 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 Martin N. Rossor 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: 940 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Martin N. Rossor 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 Martin N. Rossor 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: 156 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2023 - Research.com Medicine in United Kingdom Leader Award
  • Fellow of The Academy of Medical Sciences, United Kingdom
  • Fellow of The Academy of Medical Sciences, United Kingdom
  • Fellow of The Academy of Medical Sciences, United Kingdom

Overview

Martin N. Rossor is affiliated with University College London in the United Kingdom. Their research primarily falls within the field of Medicine, with a focus on Psychiatry and Mental Health, Neurology, Physiology, Genetics, and General Health Professions as subfields of study.

Their main research topics include:

  • Dementia and Cognitive Impairment Research
  • Alzheimer's disease research and treatments
  • Genomics and Rare Diseases
  • Health Systems, Economic Evaluations, Quality of Life
  • Psychosomatic Disorders and Their Treatments
  • Mental Health and Psychiatry
  • Health, Environment, Cognitive Aging

Martin N. Rossor has contributed to several recent publications. Notable papers include:

  • Functional cognitive disorder: dementia's blind spot, 2020, Brain
  • Segregation of functional networks is associated with cognitive resilience in Alzheimer's disease, 2021, Brain
  • Plasma phospho-tau181 in presymptomatic and symptomatic familial Alzheimer's disease: a longitudinal cohort study, 2020, Molecular Psychiatry
  • Dementia wellbeing and COVID-19: Review and expert consensus on current research and knowledge gaps, 2021, International Journal of Geriatric Psychiatry
  • The Dementias Platform UK (DPUK) Data Portal, 2020, European Journal of Epidemiology

The frequent co-authors associated with Martin N. Rossor's research include:

  • Nick C. Fox
  • Jonathan D. Rohrer
  • Johannes Levin
  • James B. Rowe
  • Jason D. Warren

Their work has been published in a range of venues with multiple publications in:

  • Alzheimer s & Dementia
  • Neurology
  • Brain
  • Alzheimer s Research & Therapy
  • Journal of Neurology Neurosurgery & Psychiatry

Martin N. Rossor has been recognized as a Fellow of The Academy of Medical Sciences in the United Kingdom. This fellowship indicates acknowledgment within the professional community.

Best Publications

  • The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease

    Guy M. McKhann;Guy M. McKhann;David S. Knopman;Howard Chertkow;Bradley T. Hyman

  • Current concepts in mild cognitive impairment.

    Ronald C. Petersen;Rachelle Doody;Alexander Kurz;Richard C. Mohs

  • Segregation of a missense mutation in the amyloid precursor protein gene with familial Alzheimer's disease.

    Alison Goate;Marie-Christine Chartier-Harlin;Mike Mullan;Jeremy Brown

  • Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia.

    Katya Rascovsky;John R. Hodges;David Knopman;Mario F. Mendez

  • Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria

    Bruno Dubois;Howard H. Feldman;Claudia Jacova;Steven T. DeKosky

  • Clinical and Biomarker Changes in Dominantly Inherited Alzheimer’s Disease

    Randall J. Bateman;Chengjie Xiong;Tammie L.S. Benzinger;Anne M. Fagan

  • The diagnosis of mild cognitive impairment due to Alzheimer's disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

    G.M. McKhann;D.S. Knopman;H. Chertkow;B.T. Hyman

  • Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease

    Denise Harold;Richard Abraham;Paul Hollingworth;Rebecca Sims

  • Erratum: Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease (Nature Genetics (2009) 41 (1088-1093))

    D Harold;R Abraham;P Hollingworth;R Sims

  • Revising the definition of Alzheimer's disease: a new lexicon.

    Bruno Dubois;Howard H. Feldman;Howard H. Feldman;Howard H. Feldman;Claudia Jacova;Jeffrey L. Cummings

  • Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease.

    Paul Hollingworth;Denise Harold;Rebecca Sims;Amy Gerrish

  • Analysis of shared heritability in common disorders of the brain

    Verneri Anttila;Verneri Anttila;Brendan Bulik-Sullivan;Brendan Bulik-Sullivan;Hilary K. Finucane;Raymond K. Walters;Raymond K. Walters

  • Early-onset Alzheimer's disease caused by mutations at codon 717 of the β-amyloid precursor protein gene

    Marie Christine Chartier-Harlin;Fiona Crawford;Henry Houlden;Andrew Warren

  • Potassium channel antibody-associated encephalopathy: a potentially immunotherapy-responsive form of limbic encephalitis

    Angela Vincent;Camilla Buckley;Jonathan M. Schott;Ian Baker

  • A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging.

    Rachael I. Scahill;Chris Frost;Chris Frost;Rhian Jenkins;Jennifer L. Whitwell

  • C-11-PiB PET assessment of change in fibrillar amyloid-beta load in patients with Alzheimer's disease treated with bapineuzumab: a phase 2, double-blind, placebo-controlled, ascending-dose study

    Juha O Rinne;David J Brooks;Martin N Rossor;Nick C Fox

  • Mutations in the endosomal ESCRTIII-complex subunit CHMP2B in frontotemporal dementia

    Gaia Skibinski;Nicholas J Parkinson;Jeremy M Brown;Lisa Chakrabarti;Lisa Chakrabarti

  • Mapping the evolution of regional atrophy in Alzheimer's disease: Unbiased analysis of fluid-registered serial MRI

    Rachael I. Scahill;Jonathan M. Schott;John M. Stevens;Martin N. Rossor

  • The prevalence and causes of dementia in people under the age of 65 years

    R J Harvey;M Skelton-Robinson;M N Rossor

  • Recommendations for the diagnosis and management of Alzheimer's disease and other disorders associated with dementia: EFNS guideline.

    G. Waldemar;B. Dubois;M. Emre;J. Georges

  • SEGREGATION OF A MISSENSE MUTATION IN THE AMYLOID PRECURSOR PROTEIN GENE WITH FAMILIAL ALZHEIMERS-DISEASE

    A Goate;Mc Chartierharlin;M Mullan;J Brown

  • Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimertextquotesingles disease

    Denise Harold;Richard Abraham;Paul Hollingworth;Rebecca Sims

Frequent Co-Authors

Nick C. Fox
Nick C. Fox University College London
Jason D. Warren
Jason D. Warren University College London
Jonathan D. Rohrer
Jonathan D. Rohrer University College London
Jonathan M. Schott
Jonathan M. Schott University College London
Sebastien Ourselin
Sebastien Ourselin King's College London
Simon Mead
Simon Mead University College London Hospitals NHS Foundation Trust
John C. Morris
John C. Morris Washington University in St. Louis
Peter R. Schofield
Peter R. Schofield Neuroscience Research Australia
John Collinge
John Collinge University College London
Alison Goate
Alison Goate Icahn School of Medicine at Mount Sinai

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