World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
57
Citations
13261
World Ranking
4317
National Ranking
120

Kevin Taddei 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 Kevin Taddei 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: 215 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Kevin Taddei 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 Kevin Taddei 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: 57 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Kevin Taddei is affiliated with Edith Cowan University in Australia. Their research primarily focuses on medical sciences, with significant contributions in physiology, psychiatry and mental health, neurology, cognitive neuroscience, and molecular biology.

The scientist's work covers several key topics, including:

  • Dementia and Cognitive Impairment Research
  • Alzheimer's disease research and treatments
  • Nutritional Studies and Diet
  • Health, Environment, Cognitive Aging
  • Diet and metabolism studies
  • Frailty in Older Adults
  • Functional Brain Connectivity Studies

Frequent co-authors in their research include Ralph N. Martins, Hamid R. Sohrabi, Colin L. Masters, Stephanie R. Rainey-Smith, and Victor L. Villemagne.

Their scholarly articles have been published most often in the following venues:

  • Alzheimer s & Dementia
  • Journal of Alzheimer s Disease
  • Nature Communications
  • Frontiers in Aging Neuroscience
  • Journal of Neurochemistry

Key recent papers authored or co-authored by Kevin Taddei include:

  • "Plasma glial fibrillary acidic protein is elevated in cognitively normal older adults at risk of Alzheimer's disease," 2021, Translational Psychiatry
  • "Risk prediction of late-onset Alzheimer's disease implies an oligogenic architecture," 2020, Nature Communications
  • "Plasma Aβ42/40 ratio, p-tau181, GFAP, and NfL across the Alzheimer's disease continuum: A cross-sectional and longitudinal study in the AIBL cohort," 2022, Alzheimer s & Dementia
  • "Diagnostic and prognostic plasma biomarkers for preclinical Alzheimer's disease," 2021, Alzheimer s & Dementia
  • "Fifteen Years of the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study: Progress and Observations from 2,359 Older Adults Spanning the Spectrum from Cognitive Normality to Alzheimer's Disease," 2021, Journal of Alzheimer s Disease Reports

Best Publications

  • The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: Methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease

    Kathryn A Ellis;Ashley I Bush;David Darby;Daniela De Fazio

  • Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer’s disease

    Oliver Preische;Oliver Preische;Stephanie A. Schultz;Anja Apel;Anja Apel;Jens Kuhle

  • A soluble phosphorylated tau signature links tau, amyloid and the evolution of stages of dominantly inherited Alzheimer's disease.

    Nicolas R Barthélemy;Yan Li;Nelly Joseph-Mathurin;Brian A Gordon

  • Alzheimer's beta-amyloid peptides compete for insulin binding to the insulin receptor

    Ling Xie;Erik Helmerhorst;Kevin Taddei;Brian Plewright

  • Blood-Based Protein Biomarkers for Diagnosis of Alzheimer Disease

    James D. Doecke;James D. Doecke;Simon M. Laws;Simon M. Laws;Noel G. Faux;Noel G. Faux;William Wilson

  • Plasma glial fibrillary acidic protein is elevated in cognitively normal older adults at risk of Alzheimer's disease.

    Pratishtha Chatterjee;Pratishtha Chatterjee;Steve Pedrini;Erik Stoops;Kathryn Goozee

  • Parenchymal border macrophages regulate the flow dynamics of the cerebrospinal fluid

    Unknown

  • Plasma Aβ42/40 ratio, p‐tau181, GFAP, and NfL across the Alzheimer's disease continuum: A cross‐sectional and longitudinal study in the AIBL cohort

    Unknown

  • Physical activity and amyloid-β plasma and brain levels: results from the Australian Imaging, Biomarkers and Lifestyle Study of Ageing

    Belinda Brown;J.J. Peiffer;J.J. Peiffer;K. Taddei;K. Taddei;J.K. Lui;J.K. Lui

  • Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture

    Qian Zhang;Julia Sidorenko;Baptiste Couvy-Duchesne;Riccardo E. Marioni

  • Two novel (M233T and R278T) presenilin-1 mutations in early-onset Alzheimer's disease pedigrees and preliminary evidence for association of presenilin-1 mutations with a novel phenotype

    J.B.J. Kwok;Kevin Taddei;M. Hallupp;C. Fisher

  • Diagnostic and prognostic plasma biomarkers for preclinical Alzheimer's disease

    Pratishtha Chatterjee;Pratishtha Chatterjee;Steve Pedrini;Nicholas J. Ashton;Nicholas J. Ashton;Michelle Tegg

  • Bone mineral density, adiposity, and cognitive functions

    Hamid R. Sohrabi;Hamid R. Sohrabi;Kristyn A. Bates;Michael Weinborn;Romola S. Bucks

  • Adherence to a Mediterranean diet and Alzheimer's disease risk in an Australian population.

    Samantha L. Gardener;Samantha L. Gardener;Yian Gu;Stephanie R. Rainey-Smith;Stephanie R. Rainey-Smith;Jennifer B. Keogh

  • Plasma apolipoprotein E and Alzheimer disease risk: the AIBL study of aging.

    Veer Bala B Gupta;Veer Bala B Gupta;Simon M Laws;Simon M Laws;Victor L Villemagne;David Ames

  • Intense physical activity is associated with cognitive performance in the elderly

    Belinda M. Brown;Belinda M. Brown;Belinda M. Brown;John Peiffer;John Peiffer;Hamid R. Sohrabi;Hamid R. Sohrabi;Hamid R. Sohrabi;Alinda Mondal;Alinda Mondal

  • The relationship between sleep quality and brain amyloid burden

    Belinda M Brown;Belinda M Brown;Stephanie R Rainey-Smith;Stephanie R Rainey-Smith;Victor L Villemagne;Michael Weinborn;Michael Weinborn;Michael Weinborn

  • Fifteen Years of the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study: Progress and Observations from 2,359 Older Adults Spanning the Spectrum from Cognitive Normality to Alzheimer's Disease.

    Christopher Fowler;Stephanie R. Rainey-Smith;Sabine Bird;Julia Bomke

  • Plasma Amyloid-β as a Biomarker in Alzheimer's Disease: The AIBL Study of Aging

    James K. Lui;James K. Lui;Simon M. Laws;Simon M. Laws;Qiao Xin Li;Victor L. Villemagne

  • Changes in plasma amyloid beta in a longitudinal study of aging and Alzheimer's disease

    Alan Rembach;Noel G Faux;Andrew D Watt;Kelly K Pertile

  • Dietary patterns and cognitive decline in an Australian study of ageing

    S. L. Gardener;S. L. Gardener;Stephanie R. Rainey-Smith;Stephanie R. Rainey-Smith;Margaret Barnes;H. R. Sohrabi;H. R. Sohrabi

  • Increased plasma apolipoprotein E (apoE) levels in Alzheimer's disease

    Kevin Taddei;Roger Clarnette;Samuel E. Gandy;Ralph N Martins

  • The Guinea Pig as a Model for Sporadic Alzheimer’s Disease (AD): The Impact of Cholesterol Intake on Expression of AD-Related Genes

    Mathew J. Sharman;Mathew J. Sharman;Seyyed H. Moussavi Nik;Mengqi M. Chen;Daniel Ong

  • Association of alleles carried at TNFA -850 and BAT1 -22 with Alzheimer's disease.

    Anastazija Gnjec;Anastazija Gnjec;Katarzyna J D'Costa;Katarzyna J D'Costa;Simon M Laws;Simon M Laws;Ross Hedley;Ross Hedley

Frequent Co-Authors

Ralph N. Martins
Ralph N. Martins Edith Cowan University
Hamid R. Sohrabi
Hamid R. Sohrabi Murdoch University
David Ames
David Ames University of Melbourne
Christopher C. Rowe
Christopher C. Rowe University of Melbourne
Victor L. Villemagne
Victor L. Villemagne University of Pittsburgh
Kathryn A. Ellis
Kathryn A. Ellis University of Melbourne
Colin L. Masters
Colin L. Masters University of Melbourne
Cassandra Szoeke
Cassandra Szoeke University of Melbourne
Ashley I. Bush
Ashley I. Bush Florey Institute of Neuroscience and Mental Health
Paul Maruff
Paul Maruff University of Melbourne

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Related Online Degrees & Career Pathways

Neuroscience opens doors to a variety of rewarding career paths, especially when combined with related fields like psychology and counseling. If you are considering a career in mental health, there are several flexible and affordable ways to advance your education online.

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Another popular option for neuroscience graduates is specializing in therapy. There are flexible masters in marriage and family therapy online programs designed for those wanting to make a positive impact in families and relationships.

For those focused on psychology, it's important to understand how much does it cost to get a masters in psychology. Comparing tuition rates and program features can help you find a degree that fits your goals and budget while building a strong foundation for your future neuroscience or mental health career.

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