World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
46
Citations
6619
World Ranking
6771
National Ranking
226

Tomoki Fukai 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 Tomoki Fukai 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: 258 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Tomoki Fukai 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 Tomoki Fukai 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: 46 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Overview

Tomoki Fukai is affiliated with the Okinawa Institute of Science and Technology in Japan. Their research primarily focuses on neuroscience, with a significant emphasis on cognitive neuroscience, cellular and molecular neuroscience, and intersections with artificial intelligence and electrical and electronic engineering.

Their scientific contributions span the following fields of study:

  • Neuroscience
  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Neurology

The main topics addressed in Fukai's work include:

  • Neural dynamics and brain function
  • Memory and Neural Mechanisms
  • Neuroscience and Neuropharmacology Research
  • Advanced Memory and Neural Computing
  • Neural Networks and Applications
  • Functional Brain Connectivity Studies
  • Neuroinflammation and Neurodegeneration Mechanisms

Fukai has published extensively with frequent appearances in specific scientific venues. These publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Cerebral Cortex
  • eLife
  • Nature Communications

Their collaborative network includes frequent co-authors such as Toshitake Asabuki, Tatsuya Haga, Chi Chung Alan Fung, Takashi Handa, and Masaaki Sato.

Recent publications by Tomoki Fukai illustrate a focus on neural mechanisms and brain function. Selected works include:

  • "Distinct Mechanisms of Over-Representation of Landmarks and Rewards in the Hippocampus," 2020, Cell Reports
  • "Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality," 2021, Nature Communications
  • "Astrocyte GluN2C NMDA receptors control basal synaptic strengths of hippocampal CA1 pyramidal neurons in the stratum radiatum," 2021, eLife
  • "Somatodendritic consistency check for temporal feature segmentation," 2020, Nature Communications
  • "A microcircuit model involving parvalbumin, somatostatin, and vasoactive intestinal polypeptide inhibitory interneurons for the modulation of neuronal oscillation during visual processing," 2022, Cerebral Cortex

Best Publications

  • Molecular characterization of the subnuclei in rat habenula

    Hidenori Aizawa;Megumi Kobayashi;Sayaka Tanaka;Tomoki Fukai

  • Microcircuitry coordination of cortical motor information in self-initiation of voluntary movements

    Yoshikazu Isomura;Rie Harukuni;Takashi Takekawa;Hidenori Aizawa

  • A simple neural network exhibiting selective activation of neuronal ensembles: from winner-take-all to winners-share-all

    Tomoki Fukai;Shigeru Tanaka

  • The Habenulo-Raphe Serotonergic Circuit Encodes an Aversive Expectation Value Essential for Adaptive Active Avoidance of Danger

    Ryunosuke Amo;Ryunosuke Amo;Felipe Fredes;Masae Kinoshita;Ryo Aoki;Ryo Aoki

  • Bidirectional plasticity in fast-spiking GABA circuits by visual experience

    Yoko Yazaki-Sugiyama;Siu Kang;Hideyuki Câteau;Tomoki Fukai

  • Reward-Modulated Motor Information in Identified Striatum Neurons

    Yoshikazu Isomura;Takashi Takekawa;Rie Harukuni;Takashi Handa

  • Orchestrated ensemble activities constitute a hippocampal memory engram.

    Khaled Ghandour;Noriaki Ohkawa;Chi Chung Alan Fung;Hirotaka Asai

  • Accurate spike sorting for multi-unit recordings

    Takashi Takekawa;Yoshikazu Isomura;Tomoki Fukai;Tomoki Fukai

  • Optimal spike-based communication in excitable networks with strong-sparse and weak-dense links

    Jun-nosuke Teramae;Jun-nosuke Teramae;Yasuhiro Tsubo;Tomoki Fukai

  • Top-down cortical input during NREM sleep consolidates perceptual memory

    D. Miyamoto;D. Hirai;C. C. A. Fung;A. Inutsuka

  • Self-consistent signal-to-noise analysis and its application to analogue neural networks with asymmetric connections

    M Shiino;T Fukai

  • Spiking network simulation code for petascale computers.

    Susanne Kunkel;Maximilian Schmidt;Jochen Martin Eppler;Hans Ekkehard Plesser

  • Self-consistent signal-to-noise analysis of the statistical behavior of analog neural networks and enhancement of the storage capacity.

    Masatoshi Shiino;Tomoki Fukai

  • Synchrony of fast-spiking interneurons interconnected by GABAergic and electrical synapses

    M. Nomura;T. Fukai;T. Aoyagi

  • Stability versus Neuronal Specialization for STDP: Long-Tail Weight Distributions Solve the Dilemma

    Matthieu Gilson;Tomoki Fukai

  • Fokker-Planck approach to the pulse packet propagation in synfire chain.

    Hideyuki Câteau;Tomoki Fukai

  • Layer and frequency dependencies of phase response properties of pyramidal neurons in rat motor cortex

    Yasuhiro Tsubo;Masahiko Takada;Alex D. Reyes;Tomoki Fukai

  • A θ-γ oscillation code for neuronal coordination during motor behavior.

    Jun Igarashi;Yoshikazu Isomura;Kensuke Arai;Rie Harukuni

  • Prototypic Seizure Activity Driven by Mature Hippocampal Fast-Spiking Interneurons

    Yoko Fujiwara-Tsukamoto;Yoshikazu Isomura;Michiko Imanishi;Taihei Ninomiya

  • The synchronous activity of lateral habenular neurons is essential for regulating hippocampal theta oscillation.

    Hidenori Aizawa;Shin Yanagihara;Megumi Kobayashi;Kazue Niisato

  • Distinct types of ionic modulation of GABA actions in pyramidal cells and interneurons during electrical induction of hippocampal seizure-like network activity

    Yoko Fujiwara-Tsukamoto;Yoshikazu Isomura;Michiko Imanishi;Tomoki Fukai

Frequent Co-Authors

Yoshikazu Isomura
Yoshikazu Isomura Tamagawa University
Markus Diesmann
Markus Diesmann RWTH Aachen University
Masahiko Takada
Masahiko Takada Kyoto University
Atsushi Nambu
Atsushi Nambu The Graduate University for Advanced Studies, SOKENDAI
Yuji Ikegaya
Yuji Ikegaya University of Tokyo
Kenji Mizuseki
Kenji Mizuseki Osaka Metropolitan University
Kaoru Inokuchi
Kaoru Inokuchi University of Toyama
Takao K. Hensch
Takao K. Hensch Harvard University
Alex D. Reyes
Alex D. Reyes New York University

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