World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
56
Citations
12768
World Ranking
4485
National Ranking
132

Takanori Yokota 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 Takanori Yokota 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: 406 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Takanori Yokota 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 Takanori Yokota 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: 56 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Overview

Takanori Yokota is affiliated with the Institute of Science Tokyo in Japan. Their research spans multiple areas within medicine and biochemistry, genetics, and molecular biology, with particular focus on molecular biology, neurology, and cellular and molecular neuroscience. Their scientific contributions also extend to physiology and pathology and forensic medicine.

The main topics explored in Yokota's body of work include RNA interference and gene delivery, advanced biosensing and bioanalysis techniques, DNA and nucleic acid chemistry, RNA regulation and disease, Parkinson's disease mechanisms and treatments, genetic neurodegenerative diseases, and RNA research and splicing.

Yokota has published in a variety of journals, frequently contributing to Molecular Therapy - Nucleic Acids, Internal Medicine, Neurology, Scientific Reports, and the Journal of the Neurological Sciences.

Among recent papers authored or co-authored by Yokota are the following:

  • Cholesterol-functionalized DNA/RNA heteroduplexes cross the blood-brain barrier and knock down genes in the rodent CNS, 2021, Nature Biotechnology
  • Dual-Sensitive Nanomicelles Enhancing Systemic Delivery of Therapeutically Active Antibodies Specifically into the Brain, 2020, ACS Nano
  • Circulating Extracellular Vesicle-Propagated microRNA Signature as a Vascular Calcification Factor in Chronic Kidney Disease, 2023, Circulation Research
  • Progressive supranuclear palsy often develops idiopathic normal pressure hydrocephalus-like magnetic resonance imaging features, 2020, European Journal of Neurology
  • Amyloid-β oligomers interact with NMDA receptors containing GluN2B subunits and metabotropic glutamate receptor 1 in primary cortical neurons: Relevance to the synapse pathology of Alzheimer's disease, 2022, Neuroscience Research

Yokota has collaborated extensively with other researchers, with frequent co-authors including Tetsuya Nagata, Nobuo Sanjo, Hiroya Kuwahara, Yoichiro Nishida, and Kotaro Yoshioka.

Best Publications

  • Coupling endoplasmic reticulum stress to the cell death program: role of the ER chaperone GRP78

    Rammohan V. Rao;Alyson Peel;Anna Logvinova;Gabriel del Rio

  • ALS-linked mutant SOD1 induces ER stress- and ASK1-dependent motor neuron death by targeting Derlin-1

    Hideki Nishitoh;Hisae Kadowaki;Atsushi Nagai;Takeshi Maruyama

  • Down regulation of DJ-1 enhances cell death by oxidative stress, ER stress, and proteasome inhibition

    Takanori Yokota;Kanako Sugawara;Kaoru Ito;Ryosuke Takahashi

  • Efficient In Vivo Delivery of siRNA to the Liver by Conjugation of α-Tocopherol.

    Kazutaka Nishina;Toshinori Unno;Yoshitaka Uno;Takayuki Kubodera

  • Delayed-onset ataxia in mice lacking α-tocopherol transfer protein: Model for neuronal degeneration caused by chronic oxidative stress

    Takanori Yokota;Keiji Igarashi;Toshiki Uchihara;Kou Ichi Jishage

  • Glycaemic control boosts glucosylated nanocarrier crossing the BBB into the brain

    Y. Anraku;H. Kuwahara;Y. Fukusato;A. Mizoguchi

  • Subcutaneous immunoglobulin for maintenance treatment in chronic inflammatory demyelinating polyneuropathy (PATH): a randomised, double-blind, placebo-controlled, phase 3 trial

    Ivo N van Schaik;Vera Bril;Nan van Geloven;Hans-Peter Hartung

  • Adult-Onset Spinocerebellar Dysfunction Caused by a Mutation in the Gene for the α-Tocopherol–Transfer Protein

    Takanari Gotoda;Makoto Arita;Hiroyuki Arai;Keizo Inoue

  • Sleep-related periodic leg movements (nocturnal myoclonus) due to spinal cord lesion.

    Takanori Yokota;Kazuhiko Hirose;Hitoshi Tanabe;Hiroshi Tsukagoshi

  • Interferon Regulatory Factor 1 (IRF-1) and IRF-2 Distinctively Up-Regulate Gene Expression and Production of Interleukin-7 in Human Intestinal Epithelial Cells

    Shigeru Oshima;Tetsuya Nakamura;Shin Namiki;Eriko Okada

  • Safety and efficacy of eculizumab in Guillain-Barré syndrome: a multicentre, double-blind, randomised phase 2 trial

    Sonoko Misawa;Satoshi Kuwabara;Yasunori Sato;Nobuko Yamaguchi

  • An Autosomal Dominant Cerebellar Ataxia Linked to Chromosome 16q22.1 Is Associated with a Single-Nucleotide Substitution in the 5′ Untranslated Region of the Gene Encoding a Protein with Spectrin Repeat and Rho Guanine-Nucleotide Exchange-Factor Domains

    Kinya Ishikawa;Shuta Toru;Taiji Tsunemi;Mingshun Li

  • SYMPATHETIC SKIN RESPONSE IN PATIENTS WITH MULTIPLE SCLEROSIS COMPARED WITH PATIENTS WITH SPINAL CORD TRANSECTION AND NORMAL CONTROLS

    Takanori Yokota;Takashi Matsunaga;Ryoichi Okiyama;Kazuhiko Hirose

  • Double cortical stimulation in amyotrophic lateral sclerosis.

    Takanori Yokota;Akiko Yoshino;Akira Inaba;Yukinobu Saito

  • Can regional spreading of amyotrophic lateral sclerosis motor symptoms be explained by prion-like propagation?

    Tadashi Kanouchi;Takuya Ohkubo;Takanori Yokota

  • DNA/RNA heteroduplex oligonucleotide for highly efficient gene silencing

    Kazutaka Nishina;Wenying Piao;Kie Yoshida-Tanaka;Yumiko Sujino

  • Friedreich-like ataxia with retinitis pigmentosa caused by the His101Gln mutation of the alpha-tocopherol transfer protein gene.

    Takanori Yokota;Toshiaki Shiojiri;Takanari Gotoda;Makoto Arita

  • Localization of α-tocopherol transfer protein in rat brain

    Akihiro Hosomi;Kaoru Goto;Hisatake Kondo;Takeshi Iwatsubo

  • Depletion of Vitamin E Increases Amyloid β Accumulation by Decreasing Its Clearances from Brain and Blood in a Mouse Model of Alzheimer Disease

    Yoichiro Nishida;Shingo Ito;Sumio Ohtsuki;Naoki Yamamoto

  • Down-regulation of α-synuclein expression can rescue dopaminergic cells from cell death in the substantia nigra of Parkinson’s disease rat model ☆

    Hiromi Hayashita-Kinoh;Masanori Yamada;Takanori Yokota;Yoshikuni Mizuno

Frequent Co-Authors

Hidehiro Mizusawa
Hidehiro Mizusawa Tokyo Medical and Dental University
Toshiki Uchihara
Toshiki Uchihara Tokyo Metropolitan Institute of Medical Science
Satoshi Kuwabara
Satoshi Kuwabara Chiba University
Kazunori Kataoka
Kazunori Kataoka University of Tokyo
Kanjiro Miyata
Kanjiro Miyata University of Tokyo
Kazunari Taira
Kazunari Taira University of Tokyo
Kenji Ishii
Kenji Ishii Nippon Medical School
Makoto Miyagishi
Makoto Miyagishi National Institute of Advanced Industrial Science and Technology
Shoji Tsuji
Shoji Tsuji University of Tokyo

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