World's Best Scientists 2026 revealed!
Pedro Rosa-Neto

Pedro Rosa-Neto

D-Index & Metrics

Neuroscience

D-Index
85
Citations
32338
World Ranking
1319
National Ranking
69

Pedro Rosa-Neto 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 Pedro Rosa-Neto 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: 1,002 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.

Pedro Rosa-Neto 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 Pedro Rosa-Neto 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: 85 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Overview

Pedro Rosa-Neto is affiliated with McGill University in Canada and has contributed extensively to the fields of Medicine and Neuroscience. Their research spans subfields such as Physiology, Psychiatry and Mental Health, Neurology, Radiology, Nuclear Medicine and Imaging, and Cognitive Neuroscience.

The primary focus of their research includes Alzheimer's disease research and treatments, dementia and cognitive impairment research, functional brain connectivity studies, neuroinflammation and neurodegeneration mechanisms, advanced neuroimaging techniques and applications, medical imaging techniques and applications, and neurological disease mechanisms and treatments.

Frequent publication venues for their work include Alzheimer s & Dementia, bioRxiv (Cold Spring Harbor Laboratory), Neurology, Brain Communications, and the Journal of the Neurological Sciences.

Recent papers from Pedro Rosa-Neto include:

  • Blood phosphorylated tau 181 as a biomarker for Alzheimer's disease: a diagnostic performance and prediction modelling study using data from four prospective cohorts, 2020, The Lancet Neurology
  • Plasma p-tau231: a new biomarker for incipient Alzheimer's disease pathology, 2021, Acta Neuropathologica
  • Mapping neurotransmitter systems to the structural and functional organization of the human neocortex, 2022, Nature Neuroscience
  • Differences Between Plasma and Cerebrospinal Fluid Glial Fibrillary Acidic Protein Levels Across the Alzheimer Disease Continuum, 2021, JAMA Neurology
  • Diagnostic Accuracy of a Plasma Phosphorylated Tau 217 Immunoassay for Alzheimer Disease Pathology, 2024, JAMA Neurology

Pedro Rosa-Neto has collaborated frequently with several co-authors including Tharick A. Pascoal, Joseph Therriault, Nesrine Rahmouni, Serge Gauthier, and Firoza Z Lussier.

Best Publications

  • Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template

    Susumu Mori;Susumu Mori;Kenichi Oishi;Hangyi Jiang;Li Jiang

  • Blood phosphorylated tau 181 as a biomarker for Alzheimer's disease: a diagnostic performance and prediction modelling study using data from four prospective cohorts.

    Thomas K. Karikari;Tharick A. Pascoal;Tharick A. Pascoal;Nicholas J. Ashton;Shorena Janelidze

  • Mapping neurotransmitter systems to the structural and functional organization of the human neocortex

    Unknown

  • Age- and Gender-Related Differences in the Cortical Anatomical Network

    Gaolang Gong;Pedro Rosa-Neto;Felix Carbonell;Zhang J. Chen

  • Plasma p-tau231: a new biomarker for incipient Alzheimer's disease pathology

    Nicholas J. Ashton;Tharick A. Pascoal;Thomas K. Karikari;Andréa L. Benedet;Andréa L. Benedet

  • Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: application to normal elderly and Alzheimer's disease participants.

    Kenichi Oishi;Andreia Faria;Hangyi Jiang;Hangyi Jiang;Xin Li

  • Human brain white matter atlas: Identification and assignment of common anatomical structures in superficial white matter

    Kenichi Oishi;Karl Zilles;Katrin Amunts;Andreia Faria

  • Revealing Modular Architecture of Human Brain Structural Networks by Using Cortical Thickness from MRI

    Zhang J. Chen;Yong He;Pedro Rosa-Neto;Jurgen Germann

  • Differences Between Plasma and Cerebrospinal Fluid Glial Fibrillary Acidic Protein Levels Across the Alzheimer Disease Continuum.

    Andréa L Benedet;Andréa L Benedet;Marta Milà-Alomà;Agathe Vrillon;Agathe Vrillon;Nicholas J Ashton

  • A multicentre validation study of the diagnostic value of plasma neurofilament light.

    Nicholas J. Ashton;Shorena Janelidze;Ahmad Al Khleifat;Antoine Leuzy

  • Microglial activation and tau propagate jointly across Braak stages

    Tharick A. Pascoal;Andrea L. Benedet;Nicholas J. Ashton;Nicholas J. Ashton;Nicholas J. Ashton;Min Su Kang;Min Su Kang

  • Blood phospho-tau in Alzheimer disease: analysis, interpretation, and clinical utility

    Unknown

  • Multi-level bootstrap analysis of stable clusters in resting-state fMRI.

    Pierre Bellec;Pedro Rosa-Neto;Oliver C. Lyttelton;Habib Benali

  • Atlas-guided tract reconstruction for automated and comprehensive examination of the white matter anatomy.

    Yajing Zhang;Jiangyang Zhang;Kenichi Oishi;Andreia Faria

  • Consensus guidelines for lumbar puncture in patients with neurological diseases

    Sebastiaan Engelborghs;Ellis Niemantsverdriet;Hanne Struyfs;Kaj Blennow

  • Monoamine oxidase B inhibitor, selegiline, reduces 18F-THK5351 uptake in the human brain

    Kok Pin Ng;Tharick A. Pascoal;Sulantha Mathotaarachchi;Joseph Therriault

  • Diagnostic performance and prediction of clinical progression of plasma phospho-tau181 in the Alzheimer's Disease Neuroimaging Initiative.

    Thomas K Karikari;Andréa L Benedet;Nicholas J Ashton;Juan Lantero Rodriguez

  • [18F]FDG PET signal is driven by astroglial glutamate transport

    Eduardo R Zimmer;Maxime J Parent;Débora G Souza;Antoine Leuzy;Antoine Leuzy

  • The diagnostic and prognostic capabilities of plasma biomarkers in Alzheimer's disease.

    Joel Simrén;Antoine Leuzy;Thomas K Karikari;Abdul Hye

  • Complete Rescue of Cerebrovascular Function in Aged Alzheimer's Disease Transgenic Mice by Antioxidants and Pioglitazone, a Peroxisome Proliferator-Activated Receptor γ Agonist

    Nektaria Nicolakakis;Tahar Aboulkassim;Brice Ongali;Clotilde Lecrux

  • Astrocyte Biomarkers in Alzheimer's Disease.

    Stephen F. Carter;Karl Herholz;Pedro Rosa-Neto;Pedro Rosa-Neto;Luc Pellerin;Luc Pellerin

  • Early-onset familial Alzheimer's disease (EOFAD).

    Liyong Wu;Pedro Rosa-Neto;Ging-Yuek R. Hsiung;A. Dessa Sadovnick

Frequent Co-Authors

Serge Gauthier
Serge Gauthier McGill University
Jean-Paul Soucy
Jean-Paul Soucy Montreal Neurological Institute and Hospital
Eduardo R. Zimmer
Eduardo R. Zimmer Federal University of Rio Grande do Sul
John C.S. Breitner
John C.S. Breitner Douglas Mental Health University Institute
Henrik Zetterberg
Henrik Zetterberg University of Gothenburg
Kaj Blennow
Kaj Blennow University of Gothenburg
Vladimir S. Fonov
Vladimir S. Fonov McGill University
Nicholas J. Ashton
Nicholas J. Ashton University of Gothenburg
Pierre Bellec
Pierre Bellec University of Montreal
Alan C. Evans
Alan C. Evans McGill University

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