World's Best Scientists 2026 revealed!
Takashi Kato

Takashi Kato

D-Index & Metrics

Neuroscience

D-Index
41
Citations
10192
World Ranking
7760
National Ranking
260

Takashi Kato 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 Takashi Kato 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: 204 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Takashi Kato 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 Takashi Kato 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: 41 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Overview

Takashi Kato is affiliated with Nagoya University in Japan and has a research focus anchored in the medical field, with extensive publications spanning surgery, oncology, pulmonary and respiratory medicine, biomedical engineering, and radiology.

Their work particularly concentrates on colorectal cancer screening and detection, diverticular disease and complications, gallbladder and bile duct disorders, pancreatic and hepatic oncology research, gastrointestinal disorders and treatments, colorectal cancer surgical treatments, and gastric cancer management and outcomes.

Notable recent papers include:

  • Bowel habits and gender correlate with colon length measured by CT colonography, 2021, Japanese Journal of Radiology
  • Laparoscopic subtotal cholecystectomy after percutaneous transhepatic gallbladder drainage for grade II or III acute cholecystitis, 2021, BMC Surgery
  • Recent trends in the prevalence and distribution of colonic diverticula in Japan evaluated using computed tomography colonography, 2021, World Journal of Gastroenterology
  • Presence of constipation predicts the therapeutic efficacy of pembrolizumab in metastatic urothelial cancer patients, 2020, International Journal of Urology
  • Diagnostic accuracy of ultra-low-dose CT colonography for the detection of colorectal polyps: a feasibility study, 2022, Japanese Journal of Radiology

Their frequent co-authors include:

  • Masafumi Ie (5 publications)
  • Morihiro Katsura (5 publications)
  • Kenichi Utano (4 publications)
  • Koichi Nagata (4 publications)
  • Masayuki Itô (4 publications)

Frequent publication venues for their work are:

  • JAPANESE JOURNAL OF GYNECOLOGIC AND OBSTETRIC ENDOSCOPY (4 publications)
  • Japanese Journal of Radiology (2 publications)
  • Annals of Surgical Oncology (2 publications)
  • Annals of Oncology (2 publications)
  • Journal of Alzheimer's Disease (2 publications)

Their output reflects a multidisciplinary approach, addressing clinical and diagnostic challenges across various medical specialties. The contributions cover both surgical techniques and imaging methods, particularly focusing on diseases of the colorectal region and other gastrointestinal conditions.

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

  • 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

  • Vocal identification of speaker and emotion activates differerent brain regions

    Satoshi Imaizumi;Koichi Mori;Shigeru Kiritani;Ryuta Kawashima

  • Recurrent rectal cancer and scar: differentiation with PET and MR imaging.

    K Ito;T Kato;M Tadokoro;T Ishiguchi

  • 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

  • Expression of tumor necrosis factor-alpha in regenerating muscle fibers in inflammatory and non-inflammatory myopathies.

    Satoshi Kuru;Akira Inukai;Takashi Kato;Yideng Liang

  • 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

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

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

Frequent Co-Authors

Kengo Ito
Kengo Ito Nagoya University
Hiroshi Fukuda
Hiroshi Fukuda Tohoku University
Gen Sobue
Gen Sobue Aichi Medical University
Ryuta Kawashima
Ryuta Kawashima Tohoku University
Kenji Ishii
Kenji Ishii Nippon Medical School
Motoaki Sugiura
Motoaki Sugiura Tohoku University
Kazuyoshi Watanabe
Kazuyoshi Watanabe Nagoya University
Karl Zilles
Karl Zilles Forschungszentrum Jülich
Takeshi Iwatsubo
Takeshi Iwatsubo University of Tokyo
Katsuhiko Yanagisawa
Katsuhiko Yanagisawa Japan Society for the Promotion of Science

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Related Online Degrees & Career Pathways

Considering a future in Neuroscience opens doors to a variety of lucrative career options, both within and beyond the field. If you're also interested in broadening your horizons, it's worth looking at what degrees make the most money. Many intersecting paths, like computer science or biomedical engineering, can complement neuroscience studies and boost earning potential.

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Shorter educational routes can also be rewarding. Earning certificate programs that pay well in fields like data analysis, biotechnology, or healthcare can lead to specialized roles, often in demand in neuroscience research and clinical settings.

Finally, for those balancing education with other commitments, you may want to explore the easiest degree to get online. These pathways can provide foundational knowledge and a stepping stone to more advanced neuroscience or allied health programs.

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