World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
46
Citations
11072
World Ranking
6606
National Ranking
221

Kengo Ito 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 Kengo Ito 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: 254 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Kengo Ito 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 Kengo Ito 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

Kengo Ito is affiliated with Nagoya University in Japan. Their research focuses primarily on the fields of Medicine and Biochemistry, Genetics and Molecular Biology, with particular attention to subfields such as Molecular Biology, Physiology, Psychiatry and Mental Health, Neurology, and Spectroscopy.

They have explored topics including Alzheimer's disease research and treatments, metabolomics and mass spectrometry studies, neuroinflammation and neurodegeneration mechanisms, tryptophan and brain disorders, computational drug discovery methods, molecular spectroscopy and chirality, and heat shock proteins research.

Their recent publications include:

  • "NMR-TS: de novo molecule identification from NMR spectra" (2020) published in Science and Technology of Advanced Materials
  • "Decomposition Factor Analysis Based on Virtual Experiments throughout Bayesian Optimization for Compost-Degradable Polymers" (2021) published in Applied Sciences
  • "Differences in biofilm formation and transcription of biofilm-associated genes among Acinetobacter baumannii clinical strains belonging to the international clone II lineage" (2020) published in Journal of Infection and Chemotherapy
  • "Fish ecotyping based on machine learning and inferred network analysis of chemical and physical properties" (2021) published in Scientific Reports
  • "Improved Prediction of Carbonless NMR Spectra by the Machine Learning of Theoretical and Fragment Descriptors for Environmental Mixture Analysis" (2021) published in Analytical Chemistry

They have collaborated frequently with researchers including Aya Ogata, Hiroshi Ikenuma, Yasuyuki Kimura, Junichiro Abe, and Saori Hattori.

Their works have appeared repeatedly in several publication venues, notably:

  • Bioorganic & Medicinal Chemistry Letters
  • EJNMMI Radiopharmacy and Chemistry
  • Research Square (Research Square)
  • Science and Technology of Advanced Materials
  • Journal of Infection and Chemotherapy

Best Publications

  • High performance plasma amyloid-β biomarkers for Alzheimer’s disease

    Akinori Nakamura;Naoki Kaneko;Victor L Villemagne;Takashi Kato

  • Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET

    Karl Herholz;Eric Salmon;Daniela Perani;Jean-Claude Baron

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

    Ryuta Kawashima;Motoaki Sugiura;Takashi Kato;Akinori Nakamura

  • A Randomized Controlled Trial of Multicomponent Exercise in Older Adults with Mild Cognitive Impairment

    Takao Suzuki;Hiroyuki Shimada;Hyuma Makizako;Takehiko Doi

  • Somatosensory Homunculus as Drawn by MEG

    Akinori Nakamura;Takako Yamada;Atsuko Goto;Takashi Kato

  • 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

  • Frontal, midbrain and striatal dopaminergic function in early and advanced Parkinson's disease A 3D [18F]dopa-PET study

    J. S. Rakshi;T. Uema;K. Ito;D. L. Bailey

  • High performance plasma amyloid-beta biomarkers for Alzheimer's disease

    Akinori Nakamura;Naoki Kaneko;Victor L Villemagne;Takashi Kato

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

    Katsuki Nakamura;Ryuta Kawashima;Motoaki Sugiura;Takashi Kato

  • Striatal and extrastriatal dysfunction in Parkinson's disease with dementia: A 6-[18F]fluoro-L-dopa PET study

    Kengo Ito;Atsuko Nagano‐Saito;Takashi Kato;Yutaka Arahata

  • Occipital hypoperfusion in Parkinson’s disease without dementia: correlation to impaired cortical visual processing

    Y Abe;T Kachi;T Kato;Y Arahata

  • Cortical hypometabolism and hypoperfusion in Parkinson’s disease is extensive: probably even at early disease stages

    Per Borghammer;Mallar Chakravarty;Mallar Chakravarty;Kristjana Yr Jonsdottir;Noriko Sato

  • Electromagnetic signatures of the preclinical and prodromal stages of Alzheimer’s disease

    Akinori Nakamura;Pablo Cuesta;Pablo Cuesta;Alberto Fernández;Yutaka Arahata

  • Inter-rater variability of visual interpretation and comparison with quantitative evaluation of 11C-PiB PET amyloid images of the Japanese Alzheimer’s Disease Neuroimaging Initiative (J-ADNI) multicenter study

    Tomohiko Yamane;Kenji Ishii;Muneyuki Sakata;Yasuhiko Ikari

  • Visual hallucination in Parkinson's disease with FDG PET

    Atsuko Nagano-Saito;Yukihiko Washimi;Yutaka Arahata;Katsushige Iwai

  • Neuroanatomical correlates of the assessment of facial attractiveness

    Katsuki Nakamura;Ryuta Kawashima;Sumiharu Nagumo;Kengo Ito

  • Japanese and North American Alzheimer's Disease Neuroimaging Initiative studies: Harmonization for international trials

    Takeshi Iwatsubo;Atsushi Iwata;Kazushi Suzuki;Ryoko Ihara

  • Cognitive- and motor-related regions in Parkinson's disease: FDOPA and FDG PET studies

    Atsuko Nagano-Saito;Takashi Kato;Yutaka Arahata;Yukihiko Washimi

  • Rat-PET study without anesthesia: anesthetics modify the dopamine D1 receptor binding in rat brain.

    Sotaro Momosaki;Kentaro Hatano;Yasuhiro Kawasumi;Takashi Kato

  • Activation reduction in anterior temporal cortices during repeated recognition of faces of personal acquaintances.

    M. Sugiura;R. Kawashima;K. Nakamura;N. Sato

Frequent Co-Authors

Takashi Kato
Takashi Kato Nagoya University
Kenji Ishii
Kenji Ishii Nippon Medical School
Hiroshi Fukuda
Hiroshi Fukuda Tohoku University
Takeshi Iwatsubo
Takeshi Iwatsubo University of Tokyo
Ryuta Kawashima
Ryuta Kawashima Tohoku University
Motoaki Sugiura
Motoaki Sugiura Tohoku University
Ryozo Kuwano
Ryozo Kuwano Niigata University
Hiroyuki Shimada
Hiroyuki Shimada Stanford University
Kazuyoshi Watanabe
Kazuyoshi Watanabe Nagoya University
Hiroshi Matsuda
Hiroshi Matsuda Tokyo University of Agriculture and Technology

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