World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
39
Citations
6077
World Ranking
8332
National Ranking
290

Go Okada 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 Go Okada 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: 125 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Go Okada 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 Go Okada 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: 39 D-Index — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Overview

Go Okada is a researcher affiliated with Hiroshima University in Japan. Their work primarily spans the fields of neuroscience, medicine, and psychology, with significant contributions to cognitive neuroscience, experimental and cognitive psychology, radiology and imaging, psychiatry, and biological psychiatry.

The scientist's research focuses on several core topics, including functional brain connectivity studies, mental health research topics, neural dynamics and brain function, advanced MRI and neuroimaging techniques, tryptophan and brain disorders, as well as EEG and brain-computer interfaces.

Okada has published extensively in various academic journals, contributing multiple works to venues such as bioRxiv (Cold Spring Harbor Laboratory), Scientific Reports, Molecular Psychiatry, Research Square, and the Journal of Affective Disorders.

Some recent publications include:

  • "A multi-site, multi-disorder resting-state magnetic resonance image database", 2021, Scientific Data
  • "Generalizable brain network markers of major depressive disorder across multiple imaging sites", 2020, PLoS Biology
  • "Kynurenic acid is a potential overlapped biomarker between diagnosis and treatment response for depression from metabolome analysis", 2020, Scientific Reports
  • "Primary functional brain connections associated with melancholic major depressive disorder and modulation by antidepressants", 2020, Scientific Reports
  • "Antidepressive effect of left dorsolateral prefrontal cortex neurofeedback in patients with major depressive disorder: A preliminary report", 2020, Journal of Affective Disorders

Frequent co-authors they have collaborated with include:

  • Yasumasa Okamoto
  • Masahiro Takamura
  • Naho Ichikawa
  • Kiyoto Kasai
  • Mitsuo Kawato

Go Okada's body of work demonstrates a strong emphasis on mental health and brain function using advanced neuroimaging methodologies. The integration of psychiatric topics and cognitive neuroscience aligns with their contributions to understanding brain connectivity and the neural underpinnings of disorders such as major depressive disorder.

Best Publications

  • Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loops

    Saori C Tanaka;Kenji Doya;Go Okada;Kazutaka Ueda

  • White matter microstructural alterations across four major psychiatric disorders: mega-analysis study in 2937 individuals

    Daisuke Koshiyama;Masaki Fukunaga;Naohiro Okada;Kentaro Morita

  • Cognitive behavioral therapy for depression changes medial prefrontal and ventral anterior cingulate cortex activity associated with self-referential processing

    Shinpei Yoshimura;Yasumasa Okamoto;Keiichi Onoda;Miki Matsunaga

  • Attenuated left prefrontal activation during a verbal fluency task in patients with depression.

    G Okada;Y Okamoto;S Morinobu;S Yamawaki

  • Negative correlation between right prefrontal activity during response inhibition and impulsiveness: a fMRI study.

    Shuji Asahi;Yasumasa Okamoto;Go Okada;Shigeto Yamawaki

  • Reduced activation of posterior cingulate cortex during imagery in subjects with high degrees of alexithymia : A functional magnetic resonance imaging study

    Tomoyuki Mantani;Yasumasa Okamoto;Naoko Shirao;Go Okada

  • Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias

    Ayumu Yamashita;Noriaki Yahata;Noriaki Yahata;Takashi Itahashi;Giuseppe Lisi

  • Brain activity during expectancy of emotional stimuli: an fMRI study.

    Kazutaka Ueda;Yasumasa Okamoto;Go Okada;Hidehisa Yamashita

  • A multi-site, multi-disorder resting-state magnetic resonance image database

    Saori C Tanaka;Ayumu Yamashita;Noriaki Yahata;Takashi Itahashi

  • Personality traits and the amplitude of spontaneous low-frequency oscillations during resting state.

    Yoshihiko Kunisato;Yasumasa Okamoto;Go Okada;Shiori Aoyama

  • Effects of depression on reward-based decision making and variability of action in probabilistic learning.

    Yoshihiko Kunisato;Yasumasa Okamoto;Kazutaka Ueda;Keiichi Onoda

  • Identification of depression subtypes and relevant brain regions using a data-driven approach

    Tomoki Tokuda;Junichiro Yoshimoto;Junichiro Yoshimoto;Yu Shimizu;Go Okada

  • Sadness enhances the experience of pain via neural activation in the anterior cingulate cortex and amygdala: an fMRI study.

    Atsuo Yoshino;Yasumasa Okamoto;Keiichi Onoda;Shinpei Yoshimura

  • Association of thalamic hyperactivity with treatment-resistant depression and poor response in early treatment for major depression: a resting-state fMRI study using fractional amplitude of low-frequency fluctuations

    T Yamamura;Y Okamoto;G Okada;Y Takaishi

  • Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics

    Saori C. Tanaka;Kazuyuki Samejima;Go Okada;Kazutaka Ueda

  • Childhood Poverty and Recruitment of Adult Emotion Regulatory Neurocircuitry

    Israel Liberzon;Sean T. Ma;Go Okada;S. Shaun Ho

  • A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity.

    Masahiro Yamashita;Yujiro Yoshihara;Ryuichiro Hashimoto;Noriaki Yahata;Noriaki Yahata

  • Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression

    Kosuke Yoshida;Yu Shimizu;Junichiro Yoshimoto;Masahiro Takamura

  • Generalizable brain network markers of major depressive disorder across multiple imaging sites.

    Ayumu Yamashita;Yuki Sakai;Takashi Yamada;Noriaki Yahata

  • Modulation of default-mode network activity by acute tryptophan depletion is associated with mood change: a resting state functional magnetic resonance imaging study.

    Yoshihiko Kunisato;Yasumasa Okamoto;Go Okada;Shiori Aoyama

  • Attenuated prefrontal activation during a verbal fluency task in remitted major depression

    Go Okada;Yasumasa Okamoto;Hidehisa Yamashita;Kazutaka Ueda

Frequent Co-Authors

Yasumasa Okamoto
Yasumasa Okamoto Hiroshima University
Shigeto Yamawaki
Shigeto Yamawaki Hiroshima University
Noriaki Yahata
Noriaki Yahata National Institutes for Quantum and Radiological Science and Technology
Kenji Doya
Kenji Doya Okinawa Institute of Science and Technology
Hidehiko Takahashi
Hidehiko Takahashi Tokyo Medical and Dental University
Kiyoto Kasai
Kiyoto Kasai University of Tokyo
Mitsuo Kawato
Mitsuo Kawato Advanced Telecommunications Research Institute International
Nobumasa Kato
Nobumasa Kato Showa University
Hiroshi Imamizu
Hiroshi Imamizu University of Tokyo
Ben Seymour
Ben Seymour University of Oxford

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