World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
44
Citations
18973
World Ranking
7029
National Ranking
3027

Kiralee M. Hayashi 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 Kiralee M. Hayashi 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: 70 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Kiralee M. Hayashi 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 Kiralee M. Hayashi 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: 44 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Kiralee M. Hayashi is affiliated with the University of California, Los Angeles in the United States. Their research activity includes contributions to the fields of genetics and neurodevelopmental disorders, focusing on the biological bases of these areas.

The scientist's recent papers include:

  • Neuroanatomy of fragile X syndrome is associated with aberrant behavior and the fragile X mental retardation protein (FMRP), 2020, UNC Libraries
  • Time-Lapse Mapping of Cortical Changes in Schizophrenia with Different Treatments, 2020, UNC Libraries

Hayashi's research collaborations involve several frequent co-authors, including:

  • Paul M. Thompson
  • Doron Gothelf
  • Joyce A. Furfaro
  • Fumiko Hoeft
  • Mark A. Eckert

Their publications are primarily found in the venue UNC Libraries, which includes multiple contributions from this scientist.

The main academic focus areas of Hayashi's work cover genetics, with a particular emphasis on neurodevelopmental disorders, as reflected in the topics of their recent research.

Best Publications

  • Dynamic mapping of human cortical development during childhood through early adulthood

    Nitin Gogtay;Jay N. Giedd;Leslie Lusk;Kiralee M. Hayashi

  • Dynamics of Gray Matter Loss in Alzheimer's Disease

    Paul M. Thompson;Kiralee M. Hayashi;Greig de Zubicaray;Andrew L. Janke

  • Structural Abnormalities in the Brains of Human Subjects Who Use Methamphetamine

    Paul M. Thompson;Kiralee M. Hayashi;Sara L. Simon;Jennifer A. Geaga

  • Mapping hippocampal and ventricular change in Alzheimer disease.

    Paul M. Thompson;Kiralee M. Hayashi;Greig I. de Zubicaray;Andrew L. Janke

  • Conversion of mild cognitive impairment to Alzheimer disease predicted by hippocampal atrophy maps.

    Liana G. Apostolova;Rebecca A. Dutton;Ivo D. Dinov;Kiralee M. Hayashi

  • Dynamic mapping of normal human hippocampal development.

    Nitin Gogtay;Tom F. Nugent;David H. Herman;Anna Ordonez

  • Mapping cortical change in Alzheimer's disease, brain development, and schizophrenia.

    Paul M. Thompson;Kiralee M. Hayashi;Elizabeth R. Sowell;Nitin Gogtay

  • The topography of grey matter involvement in early and late onset Alzheimer's disease.

    Giovanni B. Frisoni;Michela Pievani;Cristina Testa;Francesca Sabattoli

  • Thinning of the cerebral cortex visualized in HIV/AIDS reflects CD4+ T lymphocyte decline

    Paul M. Thompson;Rebecca A. Dutton;Kiralee M. Hayashi;Arthur W. Toga

  • Abnormal cortical complexity and thickness profiles mapped in Williams syndrome.

    Paul M. Thompson;Agatha D. Lee;Rebecca A. Dutton;Jennifer A. Geaga

  • Regional specificity of hippocampal volume reductions in first-episode schizophrenia.

    Katherine L. Narr;Paul M. Thompson;Philip R. Szeszko;Delbert Robinson

  • Mapping Corpus Callosum Deficits in Autism: An Index of Aberrant Cortical Connectivity

    Christine N. Vidal;Rob Nicolson;Timothy J. DeVito;Kiralee M. Hayashi

  • 3D comparison of hippocampal atrophy in amnestic mild cognitive impairment and Alzheimer's disease

    Liana G. Apostolova;Ivo D. Dinov;Rebecca A. Dutton;Kiralee M. Hayashi

  • Tracking Alzheimer's Disease

    Paul M. Thompson;Kiralee M. Hayashi;Rebecca A. Dutton;Ming Chang Chiang

  • Greater cortical gray matter density in lithium-treated patients with bipolar disorder

    Carrie E. Bearden;Paul M. Thompson;Manish Dalwani;Kiralee M. Hayashi

  • Reduced Neocortical Thickness and Complexity Mapped in Mesial Temporal Lobe Epilepsy with Hippocampal Sclerosis

    Jack J. Lin;Noriko Salamon;Agatha D. Lee;Rebecca A. Dutton

  • Neuroanatomy of Fragile X Syndrome Is Associated with Aberrant Behavior and the Fragile X Mental Retardation Protein (FMRP)

    Doron Gothelf;Joyce A. Furfaro;Fumiko Hoeft;Mark A. Eckert

  • 3D pattern of brain atrophy in HIV/AIDS visualized using tensor-based morphometry

    Ming Chang Chiang;Rebecca A. Dutton;Kiralee M. Hayashi;Oscar L. Lopez

  • Generalized Tensor-Based Morphometry of HIV/AIDS Using Multivariate Statistics on Deformation Tensors

    N. Lepore;C. Brun;Yi-Yu Chou;Ming-Chang Chiang

  • Structural Correlates of Apathy in Alzheimer’s Disease

    Liana G. Apostolova;Gohar G. Akopyan;Negar Partiali;Calen A. Steiner

  • Mapping hippocampal and ventricular change in Alzheimer disease

    P. M. Thompson;K. M. Hayashi;G. I. de Zubicaray;A. L. Janke

  • Tracking Alzheimer's disease

    P. M. Thompson;K. M. Hayashi;R. A. Dutton;M. C. Chiang

Frequent Co-Authors

Paul M. Thompson
Paul M. Thompson University of Southern California
Arthur W. Toga
Arthur W. Toga University of Southern California
Jeffrey L. Cummings
Jeffrey L. Cummings University of Nevada, Las Vegas
Liana G. Apostolova
Liana G. Apostolova Indiana University
David M. Doddrell
David M. Doddrell University of Queensland
James T. Becker
James T. Becker University of Pittsburgh
Howard J. Aizenstein
Howard J. Aizenstein University of Pittsburgh
Oscar L. Lopez
Oscar L. Lopez University of Pittsburgh
Jay N. Giedd
Jay N. Giedd University of California, San Diego
Gary W. Small
Gary W. Small University of California, Los Angeles

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