World's Best Scientists 2026 revealed!
Takeharu Kunieda

Takeharu Kunieda

D-Index & Metrics

Neuroscience

D-Index
36
Citations
5243
World Ranking
9008
National Ranking
331

Takeharu Kunieda 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 Takeharu Kunieda 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: 229 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Takeharu Kunieda 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 Takeharu Kunieda 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: 36 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Overview

Takeharu Kunieda is affiliated with Ehime University in Japan and has contributed extensively to the fields of Medicine and Neuroscience, with a significant emphasis on Cognitive Neuroscience and Neurology. Their research spans a variety of subfields including Genetics, Radiology, Nuclear Medicine and Imaging, and Molecular Biology.

The scientist's work covers several main topics, prominently including:

  • Glioma Diagnosis and Treatment
  • EEG and Brain-Computer Interfaces
  • Epilepsy research and treatment
  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Intracranial Aneurysms: Treatment and Complications
  • Meningioma and schwannoma management

Takeharu Kunieda has published numerous papers, with recent works including:

  • Evidence for a deep, distributed and dynamic code for animacy in human ventral anterior temporal cortex, 2021, eLife
  • Active direct current (DC) shifts and "Red slow": two new concepts for seizure mechanisms and identification of the epileptogenic zone, 2020, Neuroscience Research
  • Connectivity Gradient in the Human Left Inferior Frontal Gyrus: Intraoperative Cortico-Cortical Evoked Potential Study, 2020, Cerebral Cortex
  • A Narrative Review on CD44's Role in Glioblastoma Invasion, Proliferation, and Tumor Recurrence, 2023, Cancers
  • Intraoperative Brain Mapping by Cortico-Cortical Evoked Potential, 2021, Frontiers in Human Neuroscience

The frequent coauthors collaborating with Takeharu Kunieda include:

  • Akihiro Inoue
  • Takayuki Kikuchi
  • Riki Matsumoto
  • Masahiro Nishikawa
  • Satoshi Suehiro

Regarding publication venues, the scientist has contributed regularly to several journals and platforms, such as:

  • Surgical Neurology International
  • Clinical Neurophysiology
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Neuro-Oncology
  • Cerebral Cortex

Best Publications

  • Movement-related change of electrocorticographic activity in human supplementary motor area proper

    Shinji Ohara;Akio Ikeda;Takeharu Kunieda;Shogo Yazawa

  • Primary somatosensory cortex is actively involved in pain processing in human

    Masutaro Kanda;Takashi Nagamine;Akio Ikeda;Shinji Ohara

  • Cognitive motor control in human pre-supplementary motor area studied by subdural recording of discrimination/selection-related potentials.

    Akio Ikeda;Shogo Yazawa;Takeharu Kunieda;Shinji Ohara

  • Single pulse electrical stimulation to probe functional and pathological connectivity in epilepsy.

    Riki Matsumoto;Takeharu Kunieda;Dileep Nair

  • Increased synchronization of cortical oscillatory activities between human supplementary motor and primary sensorimotor areas during voluntary movements.

    Shinji Ohara;Tatsuya Mima;Koichi Baba;Akio Ikeda

  • Focal ictal direct current shifts in human epilepsy as studied by subdural and scalp recording

    Akio Ikeda;Waro Taki;Takeharu Kunieda;Kiyohito Terada

  • Intraoperative dorsal language network mapping by using single-pulse electrical stimulation

    Yukihiro Yamao;Riki Matsumoto;Takeharu Kunieda;Yoshiki Arakawa

  • Direct Exploration of the Role of the Ventral Anterior Temporal Lobe in Semantic Memory: Cortical Stimulation and Local Field Potential Evidence From Subdural Grid Electrodes

    Akihiro Shimotake;Riki Matsumoto;Taiji Ueno;Takeharu Kunieda

  • Human presupplementary motor area is active before voluntary movement: subdural recording of Bereitschaftspotential from medial frontal cortex

    Shogo Yazawa;Akio Ikeda;Takeharu Kunieda;Shinji Ohara

  • Function of the nucleus accumbens in motor control during recovery after spinal cord injury

    Masahiro Sawada;Masahiro Sawada;Kenji Kato;Kenji Kato;Takeharu Kunieda;Nobuhiro Mikuni

  • Phagocytic elimination of synapses by microglia during sleep.

    Mohammed E. Choudhury;Kazuya Miyanishi;Haruna Takeda;Afsana Islam

  • Cortical activation during fast repetitive finger movements in humans: steady-state movement-related magnetic fields and their cortical generators

    C. Gerloff;N. Uenishi;T. Nagamine;T. Kunieda

  • The 'when' and 'where' of semantic coding in the anterior temporal lobe: Temporal representational similarity analysis of electrocorticogram data.

    Y. Chen;A. Shimotake;R. Matsumoto;T. Kunieda

  • Intracranially recorded ictal direct current shifts may precede high frequency oscillations in human epilepsy.

    Kyoko Kanazawa;Riki Matsumoto;Hisaji Imamura;Masao Matsuhashi

  • Electroencephalographic characterization of an adult rat model of radiation-induced cortical dysplasia.

    Shinji Kondo;Imad Najm;Takeharu Kunieda;Scott Perryman

  • Role of primary sensorimotor cortices in generating inhibitory motor response in humans.

    Akio Ikeda;Shinji Ohara;Riki Matsumoto;Takeharu Kunieda

  • Severity of Histopathologic Abnormalities and In Vivo Epileptogenicity in the In Utero Radiation Model of Rats Is Dose Dependent

    Christoph Kellinghaus;Takeharu Kunieda;Zhong Ying;Andrew Pan

  • Electrocorticogram-electromyogram coherence during isometric contraction of hand muscle in human.

    Shinji Ohara;Takashi Nagamine;Akio Ikeda;Takeharu Kunieda

  • Sleep modulates cortical connectivity and excitability in humans: Direct evidence from neural activity induced by single-pulse electrical stimulation.

    Kiyohide Usami;Riki Matsumoto;Katsuya Kobayashi;Takefumi Hitomi

  • Enhancement of antitumor activity by using 5-ALA–mediated sonodynamic therapy to induce apoptosis in malignant gliomas: significance of high-intensity focused ultrasound on 5-ALA-SDT in a mouse glioma model

    Satoshi Suehiro;Takanori Ohnishi;Daisuke Yamashita;Shohei Kohno

  • Human supplementary motor area is active in preparation for both voluntary muscle relaxation and contraction: subdural recording of Bereitschaftspotential.

    Shogo Yazawa;Akio Ikeda;Takeharu Kunieda;Tatsuya Mima

  • Functional mapping of human medial frontal motor areas

    Takashi Hanakawa;Akio Ikeda;Norihiro Sadato;Tomohisa Okada

Frequent Co-Authors

Riki Matsumoto
Riki Matsumoto Kobe University
Akio Ikeda
Akio Ikeda Kyoto University
Susumu Miyamoto
Susumu Miyamoto Kyoto University
Ryosuke Takahashi
Ryosuke Takahashi Kyoto University
Nobuhiro Mikuni
Nobuhiro Mikuni Sapporo Medical University
Hiroshi Shibasaki
Hiroshi Shibasaki Kyoto University
Hidenao Fukuyama
Hidenao Fukuyama Kyoto University
Shinji Ohara
Shinji Ohara Johns Hopkins University
Takashi Nagamine
Takashi Nagamine Sapporo Medical University
Tatsuya Mima
Tatsuya Mima Ritsumeikan University

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