World's Best Scientists 2026 revealed!
Hiroshi Fukuda

Hiroshi Fukuda

D-Index & Metrics

Neuroscience

D-Index
84
Citations
20046
World Ranking
1409
National Ranking
26

Hiroshi Fukuda 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 Hiroshi Fukuda 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: 531 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Hiroshi Fukuda 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 Hiroshi Fukuda 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: 84 D-Index — 86th percentile

86% 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

  • 2020 - SPIE Fellow

Overview

Hiroshi Fukuda is affiliated with Tohoku University in Japan and has contributed extensively to the field of medicine, with a research focus on infectious diseases, general health professions, neurology, physiology, and physical therapy including sports therapy and rehabilitation.

Their main research topics include SARS-CoV-2 and COVID-19 research, COVID-19 clinical research studies, mobile health and mHealth applications, balance, gait, and falls prevention, physical activity and health, behavioral health and interventions, as well as COVID-19 epidemiological studies.

Frequent publication venues for Fukuda's work are:

  • Scientific Reports
  • SSRN Electronic Journal
  • Journal of Medical Internet Research
  • Cells
  • Neuropsychopharmacology Reports

Notable recent papers include:

  • "Boron Neutron Capture Therapy (BNCT) for Cutaneous Malignant Melanoma Using 10B-p-Boronophenylalanine (BPA) with Special Reference to the Radiobiological Basis and Clinical Results," 2021, Cells
  • "SARS-CoV-2 seroprevalence in healthcare workers at a frontline hospital in Tokyo," 2021, Scientific Reports
  • "Effects of an mHealth App (Kencom) With Integrated Functions for Healthy Lifestyles on Physical Activity Levels and Cardiovascular Risk Biomarkers: Observational Study of 12,602 Users," 2021, Journal of Medical Internet Research

Frequent co-authors who have collaborated with Fukuda include:

  • Toshio Naito
  • Kanami Ito
  • Satoshi Hori
  • Shuko Nojiri
  • Kaori Saito

Their research contributions span multiple disciplines, emphasizing both laboratory and clinical studies related to COVID-19 and greater public health concerns, as well as the application of mobile health technologies to promote healthier lifestyles and outcomes.

Hiroshi Fukuda was awarded the title of SPIE Fellow in 2020, reflecting recognition within the scientific community.

Best Publications

  • Thinking of the future and past: the roles of the frontal pole and the medial temporal lobes.

    Jiro Okuda;Toshikatsu Fujii;Hiroya Ohtake;Takashi Tsukiura

  • The human amygdala plays an important role in gaze monitoring. A PET study.

    Ryuta Kawashima;Motoaki Sugiura;Takashi Kato;Akinori Nakamura

  • Relationship between body mass index and gray matter volume in 1,428 healthy individuals.

    Yasuyuki Taki;Shigeo Kinomura;Kazunori Sato;Kentaro Inoue

  • Functional delineation of the human occipito-temporal areas related to face and scene processing. A PET study.

    K. Nakamura;R. Kawashima;N. Sato;A. Nakamura

  • Activation of the right inferior frontal cortex during assessment of facial emotion.

    Katsuki Nakamura;Ryuta Kawashima;Kengo Ito;Motoaki Sugiura

  • Regional cerebral blood flow changes of cortical motor areas and prefrontal areas in humans related to ipsilateral and contralateral hand movement.

    Ryuta Kawashima;Kenji Yamada;Shigeo Kinomura;Tatsuo Yamaguchi

  • Functional anatomy of GO/NO-GO discrimination and response selection : a PET study in man

    Ryuta Kawashima;Kazunori Satoh;Hiroshi Itoh;Shuichi Ono

  • Participation of the prefrontal cortices in prospective memory: evidence from a PET study in humans

    Jiro Okuda;Toshikatsu Fujii;Atsushi Yamadori;Ryuta Kawashima

  • The human prefrontal and parietal association cortices are involved in NO-GO performances - An event-related fMRI study

    Jobu Watanabe;Motoaki Sugiura;Kazunori Sato;Yuko Sato

  • Advantage of delayed whole-body FDG-PET imaging for tumour detection

    Kazuo Kubota;Masatoshi Itoh;Kaoru Ozaki;Shuichi Ono

  • Severe olfactory dysfunction is a prodromal symptom of dementia associated with Parkinson's disease: a 3 year longitudinal study

    Toru Baba;Akio Kikuchi;Kazumi Hirayama;Kazumi Hirayama;Yoshiyuki Nishio

  • Neural substrates for recognition of familiar voices: a PET study.

    Katsuki Nakamura;Ryuta Kawashima;Motoaki Sugiura;Takashi Kato

  • Cortical mechanisms of visual self-recognition.

    Motoaki Sugiura;Jobu Watanabe;Yasuhiro Maeda;Yoshihiko Matsue

  • Hypoperfusion in the Limbic System and Prefrontal Cortex in Depression: SPECT with Anatomic Standardization Technique

    Hiroshi Ito;Ryuta Kawashima;Shuichi Awata;Shuichi Ono

  • Functional anatomy of taste perception in the human brain studied with positron emission tomography

    Shigeo Kinomura;Ryuta Kawashima;Kenji Yamada;Shuichi Ono

  • Lung tumor imaging by positron emission tomography using C-11 L-methionine.

    K Kubota;T Matsuzawa;M Ito;K Ito

  • Vocal identification of speaker and emotion activates differerent brain regions

    Satoshi Imaizumi;Koichi Mori;Shigeru Kiritani;Ryuta Kawashima

  • FDG-PET delayed imaging for the detection of head and neck cancer recurrence after radio-chemotherapy: comparison with MRI/CT

    Kazuo Kubota;Jyunkichi Yokoyama;Keiichiro Yamaguchi;Shuichi Ono

  • Regional cerebral blood flow changes in human brain related to ipsilateral and contralateral complex hand movements – a PET study

    Ryuta Kawashima;Michikazu Matsumura;Norihiro Sadato;Eichi Naito

  • Voxel-based morphometry of human brain with age and cerebrovascular risk factors.

    Yasuyuki Taki;Ryoi Goto;Alan Evans;Alex Zijdenbos

Frequent Co-Authors

Ryuta Kawashima
Ryuta Kawashima Tohoku University
Shigeo Kinomura
Shigeo Kinomura Tohoku University
Motoaki Sugiura
Motoaki Sugiura Tohoku University
Masatoshi Itoh
Masatoshi Itoh Tohoku University
Yasuyuki Taki
Yasuyuki Taki Tohoku University
Hiroshi Ito
Hiroshi Ito Fukushima Medical University
Atsushi Yamadori
Atsushi Yamadori Tohoku University
Kazuhiko Yanai
Kazuhiko Yanai Tohoku University
Kengo Ito
Kengo Ito Nagoya University
Manabu Tashiro
Manabu Tashiro Tohoku University

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