World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
61
Citations
18932
World Ranking
3612
National Ranking
66

Michael Schöll 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 Michael Schöll 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: 209 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Michael Schöll 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 Michael Schöll 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: 61 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Michael Schöll is affiliated with the University of Gothenburg in Sweden. Their research is predominantly situated within the field of Medicine, with a significant focus on Psychiatry and Mental Health, Physiology, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, and Neurology.

Their work spans several main topics, including:

  • Dementia and Cognitive Impairment Research
  • Alzheimer's disease research and treatments
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Medical Imaging Techniques and Applications
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Advanced MRI Techniques and Applications

Michael Schöll has published research in prominent venues, particularly those frequently chosen for their contributions. These include:

  • Alzheimer s & Dementia
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Alzheimer s Research & Therapy
  • Brain
  • Brain Connectivity

Their recent papers highlight a focus on biomarkers and neurodegenerative disease mechanisms. Key publications 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)
  • "A multicentre validation study of the diagnostic value of plasma neurofilament light" (2021, Nature Communications)
  • "Microglial activation and tau propagate jointly across Braak stages" (2021, Nature Medicine)
  • "Diagnostic performance and prediction of clinical progression of plasma phospho-tau181 in the Alzheimer's Disease Neuroimaging Initiative" (2020, Molecular Psychiatry)

The scientist frequently collaborates with other researchers, as evidenced by frequent co-authors. These include:

  • Kaj Blennow
  • Alexis Moscoso
  • Henrik Zetterberg
  • Nicholas J. Ashton
  • Michel J. Grothe

Best Publications

  • Brain charts for the human lifespan

    Unknown

  • PET Imaging of Tau Deposition in the Aging Human Brain

    Michael Schöll;Michael Schöll;Samuel N. Lockhart;Daniel R. Schonhaut;James P. O’Neil

  • 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

  • Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer's disease.

    Rik Ossenkoppele;Rik Ossenkoppele;Rik Ossenkoppele;Daniel R. Schonhaut;Daniel R. Schonhaut;Michael Schöll;Michael Schöll;Samuel N. Lockhart

  • Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity

    Sebastian Palmqvist;Michael Schöll;Michael Schöll;Olof Strandberg;Niklas Mattsson

  • 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

  • Amyloid biomarkers in Alzheimer's disease.

    Kaj Blennow;Kaj Blennow;Niklas Mattsson;Niklas Mattsson;Niklas Mattsson;Michael Schöll;Michael Schöll;Oskar Hansson

  • Spread of pathological tau proteins through communicating neurons in human Alzheimer's disease

    Jacob W. Vogel;Yasser Iturria-Medina;Olof T. Strandberg;Ruben Smith

  • 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

  • Evidence for Astrocytosis in Prodromal Alzheimer Disease Provided by 11C-Deuterium-L-Deprenyl: A Multitracer PET Paradigm Combining 11C-Pittsburgh Compound B and 18F-FDG

    Stephen F. Carter;Michael Schöll;Ove Almkvist;Anders Wall

  • Discriminative accuracy of [18F]flortaucipir positron emission tomography for Alzheimer disease vs other neurodegenerative disorders

    Rik Ossenkoppele;Rik Ossenkoppele;Gil D. Rabinovici;Ruben Smith;Hanna Cho

  • 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

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

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

  • Diverging longitudinal changes in astrocytosis and amyloid PET in autosomal dominant Alzheimer's disease

    Elena Rodriguez-Vieitez;Laure Saint-Aubert;Stephen F. Carter;Ove Almkvist;Ove Almkvist;Ove Almkvist

  • Longitudinal Associations of Blood Phosphorylated Tau181 and Neurofilament Light Chain With Neurodegeneration in Alzheimer Disease

    Alexis Moscoso;Michel J Grothe;Michel J Grothe;Nicholas J Ashton;Thomas K Karikari

  • A walk through tau therapeutic strategies.

    Santosh Jadhav;Jesus Avila;Jesus Avila;Michael Scholl;Gabor G Kovacs

  • Biomarkers for tau pathology

    Michael Schöll;Michael Schöll;Michael Schöll;Anne Maass;Niklas Mattsson;Nicholas J. Ashton

  • Time course of phosphorylated-tau181 in blood across the Alzheimer's disease spectrum.

    Alexis Moscoso;Michel J Grothe;Michel J Grothe;Nicholas J Ashton;Thomas K Karikari

  • Prediction of dementia in MCI patients based on core diagnostic markers for Alzheimer disease

    Annapaola Prestia;Anna Caroli;Wiesje M. van der Flier;Rik Ossenkoppele

  • Imaging biomarkers in neurodegeneration: current and future practices

    Peter N. E. Young;Mar Estarellas;Emma Coomans;Meera Srikrishna

  • Positron emission tomography imaging and clinical progression in relation to molecular pathology in the first Pittsburgh Compound B positron emission tomography patient with Alzheimer’s disease

    Ahmadul Kadir;Amelia Marutle;Daniel Gonzalez;Michael Schöll

  • 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

Frequent Co-Authors

Kaj Blennow
Kaj Blennow University of Gothenburg
Henrik Zetterberg
Henrik Zetterberg University of Gothenburg
Agneta Nordberg
Agneta Nordberg Karolinska University Hospital
Nicholas J. Ashton
Nicholas J. Ashton University of Gothenburg
Oskar Hansson
Oskar Hansson Lund University
Rik Ossenkoppele
Rik Ossenkoppele Lund University
Ove Almkvist
Ove Almkvist Karolinska Institute
Anders Wall
Anders Wall Uppsala University
Niklas Mattsson
Niklas Mattsson Lund University
Ruben Smith
Ruben Smith Lund University

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