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Pedro Rosa-Neto

Pedro Rosa-Neto

McGill University
Canada

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 85 1319 1196 69 62 1002 32338

Pedro Rosa-Neto publications per year

The chart shows the history of publications by Pedro Rosa-Neto between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Pedro Rosa-Neto published across 34 years, from 1992 to 2025, averaging 34.7 papers a year. Output peaked at 186 publications in 2024. 309 of the 1,180 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 1992 to 2025. Vertical axis: number of publications, 0 to 186. Peak 186 publications in 2024. 1992: 1 publication 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 1 publication 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 1 publication 2002: 1 publication 2003: 5 publications 2004: 4 publications 2005: 5 publications 2006: 4 publications 2007: 3 publications 2008: 7 publications 2009: 15 publications 2010: 7 publications 2011: 28 publications 2012: 22 publications 2013: 38 publications 2014: 45 publications 2015: 37 publications 2016: 44 publications 2017: 51 publications 2018: 53 publications 2019: 56 publications 2020: 65 publications 2021: 105 publications 2022: 100 publications 2023: 173 publications 2024: 186 publications 2025: 123 publications
1992 2025

1,180 publications in total across all disciplines

View publications per year as a table
Pedro Rosa-Neto: publications per year, 1992 to 2025
Year Publications
1992 1
1993 0
1994 0
1995 0
1996 0
1997 1
1998 0
1999 0
2000 0
2001 1
2002 1
2003 5
2004 4
2005 5
2006 4
2007 3
2008 7
2009 15
2010 7
2011 28
2012 22
2013 38
2014 45
2015 37
2016 44
2017 51
2018 53
2019 56
2020 65
2021 105
2022 100
2023 173
2024 186
2025 123
Total 1,180
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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.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 887+ publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 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.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100 1,002
Download as CSV

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.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 84–85 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100 85
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
Download as CSV

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

External Links

Personal website of Pedro Rosa-Neto

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Best Scientists Citing Pedro Rosa-Neto

Kaj Blennow

Kaj Blennow

University of Gothenburg

Publications: 126

Susumu Mori

Susumu Mori

Johns Hopkins University School of Medicine

Publications: 86

Paul Cumming

Paul Cumming

Queensland University of Technology

Publications: 81

Henrik Zetterberg

Henrik Zetterberg

University of Gothenburg

Publications: 79

Yong He

Yong He

Beijing Normal University

Publications: 62

Agneta Nordberg

Agneta Nordberg

Karolinska University Hospital

Publications: 50

Rik Ossenkoppele

Rik Ossenkoppele

Lund University

Publications: 49

Andreia V. Faria

Andreia V. Faria

Johns Hopkins University School of Medicine

Publications: 46

Nobuyuki Okamura

Nobuyuki Okamura

Tohoku Medical and Pharmaceutical University

Publications: 45

Albert Gjedde

Albert Gjedde

University of Copenhagen

Publications: 45

Oskar Hansson

Oskar Hansson

Lund University

Publications: 44

Pierre Bellec

Pierre Bellec

University of Montreal

Publications: 43

M. Mallar Chakravarty

M. Mallar Chakravarty

McGill University

Publications: 41

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 41

Philip Scheltens

Philip Scheltens

Amsterdam UMC

Publications: 40

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 39

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