World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
41
Citations
7809
World Ranking
7803
National Ranking
3351

Takaki Komiyama 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 Takaki Komiyama 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: 77 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Takaki Komiyama 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 Takaki Komiyama 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: 41 D-Index — 19th percentile

19% 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

  • 2011 - Fellow of Alfred P. Sloan Foundation

Overview

Takaki Komiyama is affiliated with the University of California, San Diego in the United States. Their research primarily falls within the broad discipline of Neuroscience, with a strong focus on Cellular and Molecular Neuroscience and Cognitive Neuroscience. Additional subfields include Molecular Biology, Electrical and Electronic Engineering, and Biophysics.

The scientist's work covers diverse topics within neuroscience, including:

  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering
  • Neuroscience and Neuropharmacology Research
  • Neurobiology and Insect Physiology Research
  • Photoreceptor and optogenetics research
  • Advanced Memory and Neural Computing
  • Functional Brain Connectivity Studies

Takaki Komiyama has contributed to various scholarly articles, with recent notable papers including:

  • "Characterizing Cortex-Wide Dynamics with Wide-Field Calcium Imaging" (2021), published in Journal of Neuroscience
  • "Learning binds new inputs into functional synaptic clusters via spinogenesis" (2022), published in Nature Neuroscience
  • "Global and subtype-specific modulation of cortical inhibitory neurons regulated by acetylcholine during motor learning" (2022), published in Neuron
  • "Multimodal neural recordings with Neuro-FITM uncover diverse patterns of cortical-hippocampal interactions" (2021), published in Nature Neuroscience
  • "AlphaTracker: a multi-animal tracking and behavioral analysis tool" (2023), published in Frontiers in Behavioral Neuroscience

The scientist frequently publishes in well-known venues such as bioRxiv (Cold Spring Harbor Laboratory), Journal of Neuroscience, Nature Neuroscience, Science Advances, and Zenodo (CERN European Organization for Nuclear Research).

Collaborations form an important part of their research, with frequent co-authors including Chi Ren, Ryoma Hattori, Nathan G. Hedrick, Xin Liu, and Duygu Kuzum.

Takaki Komiyama has been recognized with the distinction of Fellow of the Alfred P. Sloan Foundation in 2011.

Best Publications

  • Emergence of reproducible spatiotemporal activity during motor learning

    Andrew J. Peters;Simon X. Chen;Takaki Komiyama

  • Learning-related fine-scale specificity imaged in motor cortex circuits of behaving mice.

    Takaki Komiyama;Takashi R. Sato;Daniel H. Oconnor;Ying Xin Zhang;Ying Xin Zhang

  • Representation of the glomerular olfactory map in the Drosophila brain

    Elizabeth C Marin;Gregory S.X.E Jefferis;Takaki Komiyama;Haitao Zhu

  • Procedures for behavioral experiments in head-fixed mice.

    Zengcai V. Guo;S. Andrew Hires;Nuo Li;Daniel H. O'Connor

  • Subtype-specific plasticity of inhibitory circuits in motor cortex during motor learning

    Simon X Chen;An Na Kim;Andrew J Peters;Takaki Komiyama

  • Vibrissa-Based Object Localization in Head-Fixed Mice

    Daniel H. O'Connor;Nathan G. Clack;Daniel Huber;Takaki Komiyama

  • Learning enhances the relative impact of top-down processing in the visual cortex.

    Hiroshi Makino;Takaki Komiyama

  • Transformation of Cortex-wide Emergent Properties during Motor Learning

    Hiroshi Makino;Hiroshi Makino;Chi Ren;Haixin Liu;An Na Kim

  • Dynamic Sensory Representations in the Olfactory Bulb: Modulation by Wakefulness and Experience

    Hiroyuki K. Kato;Monica W. Chu;Jeffry S. Isaacson;Takaki Komiyama

  • Circuit Mechanisms of Sensorimotor Learning

    Hiroshi Makino;Eun Jung Hwang;Nathan G. Hedrick;Takaki Komiyama

  • Graded expression of semaphorin-1a cell-autonomously directs dendritic targeting of olfactory projection neurons.

    Takaki Komiyama;Lora B. Sweeney;Oren Schuldiner;K. Christopher Garcia

  • Parvalbumin-Expressing Interneurons Linearly Control Olfactory Bulb Output

    Hiroyuki K. Kato;Shea N. Gillet;Andrew J. Peters;Jeffry S. Isaacson

  • From Lineage to Wiring Specificity: POU Domain Transcription Factors Control Precise Connections of Drosophila Olfactory Projection Neurons

    Takaki Komiyama;Wayne A. Johnson;Liqun Luo;Gregory S.X.E. Jefferis

  • History-based action selection bias in posterior parietal cortex

    Eun Jung Hwang;Jeffrey E Dahlen;Madan Mukundan;Takaki Komiyama

  • Temporal target restriction of olfactory receptor neurons by Semaphorin-1a/PlexinA-mediated axon-axon interactions.

    Lora B. Sweeney;Africa Couto;Ya-Hui Chou;Daniela Berdnik

  • Reorganization of corticospinal output during motor learning

    Andrew J Peters;Jun Lee;Nathan G Hedrick;Keelin O'Neil

  • Learning in the Rodent Motor Cortex.

    Andrew J Peters;Andrew J Peters;Haixin Liu;Takaki Komiyama

  • Area-Specificity and Plasticity of History-Dependent Value Coding During Learning.

    Ryoma Hattori;Bethanny Danskin;Zeljana Babic;Nicole Mlynaryk

  • Functions and dysfunctions of neocortical inhibitory neuron subtypes.

    Ryoma Hattori;Kishore V Kuchibhotla;Robert C Froemke;Robert C Froemke;Takaki Komiyama

  • Development of wiring specificity in the olfactory system.

    Takaki Komiyama;Liqun Luo

  • Balancing the Robustness and Efficiency of Odor Representations during Learning

    Monica W. Chu;Wankun L. Li;Takaki Komiyama

Frequent Co-Authors

Liqun Luo
Liqun Luo Stanford University
Duygu Kuzum
Duygu Kuzum University of California, San Diego
Daniel H. O'Connor
Daniel H. O'Connor Johns Hopkins University
Gregory S.X.E. Jefferis
Gregory S.X.E. Jefferis MRC Laboratory of Molecular Biology
K. Christopher Garcia
K. Christopher Garcia Stanford University
Jeffry S. Isaacson
Jeffry S. Isaacson University of California, San Diego
Karel Svoboda
Karel Svoboda Allen Institute
Daniel Huber
Daniel Huber University of Geneva
Itaru Imayoshi
Itaru Imayoshi Kyoto University
Christopher Potter
Christopher Potter University of Cambridge

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