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D-Index
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Citations
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Neuroscience

D-Index
55
Citations
10666
World Ranking
4726
National Ranking
397

Matthias Brendel 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 Matthias Brendel 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: 331 publications — 86th percentile

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

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

Matthias Brendel 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 Matthias Brendel 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: 55 D-Index — 52nd percentile

52% 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

  • 2025 - Research.com Rising Stars Award

Overview

Matthias Brendel is affiliated with Ludwig-Maximilians-Universität München in Germany, contributing extensively to research in medicine and neuroscience. Their work primarily lies at the intersection of radiology, nuclear medicine, neurology, physiology, psychiatry and mental health, and cognitive neuroscience.

The research topics covered by Matthias Brendel include:

  • Alzheimer's disease research and treatments
  • Medical Imaging Techniques and Applications
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Dementia and Cognitive Impairment Research
  • Functional Brain Connectivity Studies
  • Glioma Diagnosis and Treatment
  • Parkinson's Disease Mechanisms and Treatments

Their publications span various high-impact journals and frequently published venues, such as:

  • Alzheimer s & Dementia
  • Nuklearmedizin - NuclearMedicine
  • European Journal of Nuclear Medicine and Molecular Imaging
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Nuclear Medicine

Among recent papers, notable examples include:

  • "White matter aging drives microglial diversity," 2021, published in Neuron
  • "EANM procedure guidelines for brain PET imaging using [18F]FDG, version 3," 2021, European Journal of Nuclear Medicine and Molecular Imaging
  • "Assessment of 18F-PI-2620 as a Biomarker in Progressive Supranuclear Palsy," 2020, JAMA Neurology
  • "Microglial activation states drive glucose uptake and FDG-PET alterations in neurodegenerative diseases," 2021, Science Translational Medicine
  • "A TREM2-activating antibody with a blood-brain barrier transport vehicle enhances microglial metabolism in Alzheimer's disease models," 2023, Nature Neuroscience

Collaborations have been made with several frequent co-authors, including:

  • Nicolai Franzmeier
  • Peter Bartenstein
  • Johannes Levin
  • Nathalie L. Albert
  • Leonie Beyer

Best Publications

  • Loss of TREM2 function increases amyloid seeding but reduces plaque-associated ApoE.

    Samira Parhizkar;Thomas Arzberger;Matthias Brendel;Gernot Kleinberger

  • sTREM2 cerebrospinal fluid levels are a potential biomarker for microglia activity in early‐stage Alzheimer's disease and associate with neuronal injury markers

    Marc Suárez-Calvet;Marc Suárez-Calvet;Gernot Kleinberger;Miguel Ángel Araque Caballero;Matthias Brendel

  • White matter aging drives microglial diversity.

    Shima Safaiyan;Simon Besson-Girard;Tuğberk Kaya;Ludovico Cantuti-Castelvetri;Ludovico Cantuti-Castelvetri

  • The FTD‐like syndrome causing TREM2 T66M mutation impairs microglia function, brain perfusion, and glucose metabolism

    Gernot Kleinberger;Matthias Brendel;Eva Mracsko;Benedikt Wefers

  • A TREM2-activating antibody with a blood–brain barrier transport vehicle enhances microglial metabolism in Alzheimer’s disease models

    Unknown

  • Microglial activation states drive glucose uptake and FDG-PET alterations in neurodegenerative diseases.

    Xianyuan Xiang;Xianyuan Xiang;Karin Wind;Karin Wind;Thomas Wiedemann;Tanja Blume;Tanja Blume

  • Assessment of 18F-PI-2620 as a Biomarker in Progressive Supranuclear Palsy.

    Matthias Brendel;Henryk Barthel;Thilo van Eimeren;Thilo van Eimeren;Ken Marek

  • Four-repeat tauopathies.

    Thomas W. Rösler;Amir Tayaranian Marvian;Matthias Brendel;Niko-Petteri Nykänen

  • Improved longitudinal [(18)F]-AV45 amyloid PET by white matter reference and VOI-based partial volume effect correction.

    Matthias Brendel;Marcus Högenauer;Andreas Delker;Julia Sauerbeck

  • Glial Activation and Glucose Metabolism in a Transgenic Amyloid Mouse Model: A Triple-Tracer PET Study

    Matthias Brendel;Federico Probst;Anna Jaworska;Felix Overhoff

  • Novel App knock-in mouse model shows key features of amyloid pathology and reveals profound metabolic dysregulation of microglia

    Unknown

  • Tau-PET and in vivo Braak-staging as prognostic markers of future cognitive decline in cognitively normal to demented individuals.

    Davina Biel;Matthias Brendel;Anna Rubinski;Katharina Buerger;Katharina Buerger

  • Reduced FDG-PET brain metabolism and executive function predict clinical progression in elderly healthy subjects

    Michael Ewers;Matthias Brendel;Angela Rizk-Jackson;Axel Rominger

  • Tau deposition patterns are associated with functional connectivity in primary tauopathies

    Unknown

  • Amyloid-associated increases in soluble tau relate to tau aggregation rates and cognitive decline in early Alzheimer’s disease

    Unknown

  • Higher CSF sTREM2 and microglia activation are associated with slower rates of beta-amyloid accumulation

    Michael Ewers;Michael Ewers;Gloria Biechele;Marc Suárez-Calvet;Christian Sacher

  • Opposite microglial activation stages upon loss of PGRN or TREM2 result in reduced cerebral glucose metabolism

    Julia K Götzl;Matthias Brendel;Georg Werner;Samira Parhizkar

  • TSPO PET for glioma imaging using the novel ligand 18F-GE-180: first results in patients with glioblastoma.

    Nathalie L. Albert;Nathalie L. Albert;M. Unterrainer;D. F. Fleischmann;D. F. Fleischmann;S. Lindner

  • Loss of TREM2 rescues hyperactivation of microglia, but not lysosomal deficits and neurotoxicity in models of progranulin deficiency

    Unknown

  • Evaluation of early-phase [18F]-florbetaben PET acquisition in clinical routine cases.

    Sonja Daerr;Matthias Brendel;Christian Zach;Erik Mille

  • Early static (18)F-FET-PET scans have a higher accuracy for glioma grading than the standard 20-40 min scans.

    Nathalie L. Albert;Isabel Winkelmann;Bogdana Suchorska;Vera Wenter

  • Depressive symptoms accelerate cognitive decline in amyloid-positive MCI patients

    Matthias Brendel;Oliver Pogarell;Guoming Xiong;Andreas Delker

  • Longitudinal Assessment of Cerebral β-Amyloid Deposition in Mice Overexpressing Swedish Mutant β-Amyloid Precursor Protein Using 18F-Florbetaben PET

    Axel Rominger;Matthias Brendel;Steffen Burgold;Kevin Keppler

  • Increase of TREM2 during Aging of an Alzheimer's Disease Mouse Model Is Paralleled by Microglial Activation and Amyloidosis

    Matthias Brendel;Gernot Kleinberger;Federico Probst;Anna Jaworska;Anna Jaworska

  • Cortical [18 F]PI-2620 Binding Differentiates Corticobasal Syndrome Subtypes.

    Carla Palleis;Carla Palleis;Matthias Brendel;Anika Finze;Endy Weidinger;Endy Weidinger

Frequent Co-Authors

Peter Bartenstein
Peter Bartenstein Ludwig-Maximilians-Universität München
Christian Haass
Christian Haass Ludwig-Maximilians-Universität München
Günter U. Höglinger
Günter U. Höglinger Ludwig Maximilian University of Munich
Robert Perneczky
Robert Perneczky Ludwig-Maximilians-Universität München
Paul Cumming
Paul Cumming Queensland University of Technology
Henryk Barthel
Henryk Barthel Leipzig University
Katharina Buerger
Katharina Buerger Ludwig-Maximilians-Universität München
Harald Steiner
Harald Steiner Ludwig-Maximilians-Universität München
Victor L. Villemagne
Victor L. Villemagne University of Pittsburgh
Michael Ewers
Michael Ewers Ludwig-Maximilians-Universität München

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