World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
67
Citations
16525
World Ranking
2879
National Ranking
1335

Dimitrios Kapogiannis 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 Dimitrios Kapogiannis 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: 199 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Dimitrios Kapogiannis 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 Dimitrios Kapogiannis 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: 67 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Dimitrios Kapogiannis is affiliated with the National Institutes of Health in the United States. Their research spans multiple areas within medicine and biochemistry, genetics, and molecular biology, with a particular focus on molecular biology and neurology.

Their scientific inquiry involves key subfields such as molecular biology, neurology, physiology, psychiatry and mental health, and cognitive neuroscience. These areas underpin a diverse research portfolio centering on disease mechanisms, especially in neurodegenerative disorders and cognitive impairment.

Kapogiannis's work prominently addresses topics including extracellular vesicles in disease, neuroinflammation and neurodegeneration mechanisms, dementia and cognitive impairment research, Alzheimer's disease research and treatments, long-term effects of COVID-19, microRNA in disease regulation, and diet and metabolism studies.

Frequent publication venues for their research include:

  • Alzheimer s & Dementia
  • Cells
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Extracellular Vesicles
  • Research Square (Research Square)

Their coauthors with the most frequent collaborations are:

  • Carlos Nogueras-Ortiz
  • Mohamad El Haj
  • Maja Mustapić
  • Pamela J. Yao
  • Francheska Delgado-Peraza

Representative recent publications include:

  • "Effects of monoclonal antibodies against amyloid-β on clinical and biomarker outcomes and adverse event risks: A systematic review and meta-analysis of phase III RCTs in Alzheimer's disease," 2021, published in Ageing Research Reviews
  • "The Effects of Confinement on Neuropsychiatric Symptoms in Alzheimer's Disease During the COVID-19 Crisis," 2020, published in Journal of Alzheimer s Disease
  • "High depression and anxiety in people with Alzheimer's disease living in retirement homes during the covid-19 crisis," 2020, published in Psychiatry Research
  • "SARS-CoV-2 and Mitochondrial Proteins in Neural-Derived Exosomes of COVID-19," 2022, published in Annals of Neurology
  • "Atrial Fibrillation Is Associated with Cognitive Impairment, All-Cause Dementia, Vascular Dementia, and Alzheimer's Disease: a Systematic Review and Meta-Analysis," 2021, published in Journal of General Internal Medicine

Best Publications

  • Identification of preclinical Alzheimer's disease by a profile of pathogenic proteins in neurally derived blood exosomes: A case-control study

    Massimo S. Fiandaca;Dimitrios Kapogiannis;Mark Mapstone;Adam Boxer

  • Disrupted energy metabolism and neuronal circuit dysfunction in cognitive impairment and Alzheimer's disease.

    Dimitrios Kapogiannis;Mark P Mattson

  • Altered lysosomal proteins in neural-derived plasma exosomes in preclinical Alzheimer disease

    Edward J. Goetzl;Adam Boxer;Janice B. Schwartz;Erin L. Abner

  • RNA in extracellular vesicles

    Kyoung Mi Kim;Kotb Abdelmohsen;Maja Mustapic;Dimitrios Kapogiannis

  • Plasma Extracellular Vesicles Enriched for Neuronal Origin: A Potential Window into Brain Pathologic Processes.

    Maja Mustapic;Erez Eitan;John K. Werner;John K. Werner;Sean T. Berkowitz

  • Frontotemporal dementia and its subtypes: a genome-wide association study

    Raffaele Ferrari;Raffaele Ferrari;Dena G Hernandez;Dena G Hernandez;Michael A Nalls;Jonathan D Rohrer

  • Cognitive and neural foundations of religious belief.

    Dimitrios Kapogiannis;Aron K. Barbey;Aron K. Barbey;Michael Su;Giovanna Zamboni

  • Decreased synaptic proteins in neuronal exosomes of frontotemporal dementia and Alzheimer’s disease

    Edward J. Goetzl;Dimitrios Kapogiannis;Janice B. Schwartz;Iryna V. Lobach

  • Cargo proteins of plasma astrocyte-derived exosomes in Alzheimer's disease.

    Edward J. Goetzl;Maja Mustapic;Dimitrios Kapogiannis;Erez Eitan

  • GLP-1 Receptor Stimulation Reduces Amyloid-β Peptide Accumulation and Cytotoxicity in Cellular and Animal Models of Alzheimer's Disease

    Yazhou Li;Kara B. Duffy;Mary Ann Ottinger;Balmiki Ray

  • High complement levels in astrocyte-derived exosomes of Alzheimer disease.

    Edward J. Goetzl;Janice B. Schwartz;Erin L. Abner;Gregory A. Jicha

  • Dysfunctionally phosphorylated type 1 insulin receptor substrate in neural-derived blood exosomes of preclinical Alzheimer’s disease

    Dimitrios Kapogiannis;Adam Boxer;Janice B. Schwartz;Erin L. Abner

  • Cerebrospinal fluid and blood biomarkers for neurodegenerative dementias: An update of the Consensus of the Task Force on Biological Markers in Psychiatry of the World Federation of Societies of Biological Psychiatry

    Piotr Lewczuk;Peter Riederer;Sid E. O’Bryant;Marcel M. Verbeek

  • FTD and ALS: a tale of two diseases.

    Raffaele Ferrari;Dimitrios Kapogiannis;Edward D. Huey;Parastoo Momeni

  • Declining levels of functionally specialized synaptic proteins in plasma neuronal exosomes with progression of Alzheimer's disease

    Edward J. Goetzl;Erin L. Abner;Gregory A. Jicha;Dimitrios Kapogiannis

  • Autobiographical memory decline in Alzheimer's disease, a theoretical and clinical overview

    Mohamad El Haj;Pascal Antoine;Jean Louis Nandrino;Dimitrios Kapogiannis

  • Utility of Neuronal-Derived Exosomes to Examine Molecular Mechanisms That Affect Motor Function in Patients with Parkinson Disease: A Secondary Analysis of the Exenatide-PD Trial

    Dilan Athauda;Seema Gulyani;Hanuma kumar Karnati;Yazhou Li

  • Posteromedial cortex glutamate and GABA predict intrinsic functional connectivity of the default mode network

    Dimitrios Kapogiannis;David A. Reiter;Auriel A. Willette;Mark P. Mattson

  • Plasma neuronal exosomes serve as biomarkers of cognitive impairment in HIV infection and Alzheimer’s Disease

    Lynn Pulliam;Bing Sun;Maja Mustapic;Sahil Chawla

  • Association of Extracellular Vesicle Biomarkers With Alzheimer Disease in the Baltimore Longitudinal Study of Aging.

    Dimitrios Kapogiannis;Maja Mustapic;Michelle D. Shardell;Sean T. Berkowitz

  • Low neural exosomal levels of cellular survival factors in Alzheimer's disease

    Edward J. Goetzl;Adam Boxer;Janice B. Schwartz;Erin L. Abner

  • Insulin resistance in Alzheimer's disease

    Thomas Diehl;Roger Mullins;Dimitrios Kapogiannis

Frequent Co-Authors

Mohamad El Haj
Mohamad El Haj University of Nantes
Edward J. Goetzl
Edward J. Goetzl University of California, San Francisco
Jordan Grafman
Jordan Grafman Northwestern University
Nigel H. Greig
Nigel H. Greig National Institutes of Health
Mark P. Mattson
Mark P. Mattson Johns Hopkins University
Bruce L. Miller
Bruce L. Miller University of California, San Francisco
Eric M. Wassermann
Eric M. Wassermann National Institutes of Health
Luigi Ferrucci
Luigi Ferrucci National Institutes of Health
Ronald C. Petersen
Ronald C. Petersen University of Pennsylvania
Adaikalavan Ramasamy
Adaikalavan Ramasamy A*STAR - Agency for Science, Technology and Research

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