World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
48
Citations
18173
World Ranking
6077
National Ranking
2655

Sheng-Han Kuo 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 Sheng-Han Kuo 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: 194 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Sheng-Han Kuo 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 Sheng-Han Kuo 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: 48 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Sheng-Han Kuo is affiliated with Columbia University Medical Center in the United States and has contributed extensively to the fields of medicine and neuroscience, with a strong focus on neurology and cellular and molecular neuroscience. Their research has addressed several core areas, including genetic neurodegenerative diseases, neurological disorders and treatments, mitochondrial function and pathology, Parkinson's disease mechanisms and treatments, vestibular and auditory disorders, neuroscience and neuropharmacology research, as well as botulinum toxin and related neurological disorders.

Their recent significant publications include:

  • Cerebellar oscillations driven by synaptic pruning deficits of cerebellar climbing fibers contribute to tremor pathophysiology, 2020, Science Translational Medicine
  • Mutant glucocerebrosidase impairs α-synuclein degradation by blockade of chaperone-mediated autophagy, 2022, Science Advances
  • Cerebellar Volume Is Associated with Cognitive Decline in Mild Cognitive Impairment: Results from ADNI, 2020, The Cerebellum
  • Spinocerebellar ataxia clinical trials: opportunities and challenges, 2021, Annals of Clinical and Translational Neurology
  • Current and emerging treatment modalities for spinocerebellar ataxias, 2022, Expert Review of Neurotherapeutics

Frequent co-authors in Sheng-Han Kuo's publications include Ming-Kai Pan, Chi-Ying Lin, Jeremy D. Schmahmann, Elan D. Louis, and Tetsuo Ashizawa. Collaborations with these researchers have resulted in a considerable number of joint studies, contributing to advancing understanding in neurodegenerative and neurological research.

The venues where Sheng-Han Kuo has most frequently published reflect the clinical and research depth of their work. These include:

  • The Cerebellum
  • Neurology
  • Annals of Clinical and Translational Neurology
  • International Review of Neurobiology
  • Journal of the Neurological Sciences

Sheng-Han Kuo's research spans topics that intersect clinical neurology and molecular biological mechanisms, focusing heavily on the cellular and genetic bases of neurodegenerative diseases. Their work particularly explores the pathogenic mechanisms underlying conditions such as Parkinson's disease and spinocerebellar ataxias, as well as therapeutic approaches aimed at modulating disease pathways. This includes studies on synaptic pruning deficits, autophagy interruption, and cognitive decline associated with cerebellar structure changes.

Best Publications

  • Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

    Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin

  • Loss of mTOR-Dependent Macroautophagy Causes Autistic-like Synaptic Pruning Deficits

    Guomei Tang;Kathryn Gudsnuk;Sheng-Han Kuo;Marisa L. Cotrina;Marisa L. Cotrina

  • Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

    Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin

  • Glucocerebrosidase activity in Parkinson’s disease with and without GBA mutations

    Roy N. Alcalay;Oren A. Levy;Cheryl H. Waters;Stanley Fahn

  • Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356

    Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin

  • iPSC-Derived Dopamine Neurons Reveal Differences between Monozygotic Twins Discordant for Parkinson’s Disease

    Chris M. Woodard;Brian A. Campos;Sheng-Han Kuo;Melissa J. Nirenberg

  • Mitochondrial abnormalities in temporal lobe of autistic brain

    Guomei Tang;Puri Gutierrez Rios;Sheng-Han Kuo;Hasan Orhan Akman

  • Resveratrol alleviates MPTP‐induced motor impairments and pathological changes by autophagic degradation of α‐synuclein via SIRT1‐deacetylated LC3

    Yan-Jie Guo;Su-Yan Dong;Xin-Xin Cui;Ya Feng

  • Clinical characteristics of patients with spinocerebellar ataxias 1, 2, 3 and 6 in the US; A prospective observational study

    Tetsuo Ashizawa;Karla P Figueroa;Susan L Perlman;Christopher M Gomez

  • Postsynaptic Targeting of Alternative Postsynaptic Density-95 Isoforms by Distinct Mechanisms

    Dane M. Chetkovich;Robert C. Bunn;Sheng Han Kuo;Yoshimi Kawasaki

  • Consensus Paper: Experimental Neurostimulation of the Cerebellum

    Lauren L.N. Miterko;Kenneth K.B. Baker;Jaclyn Beckinghausen;Lynley L.V. Bradnam

  • Comprehensive systematic review summary: Treatment of cerebellar motor dysfunction and ataxia: Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology

    Theresa A. Zesiewicz;George Wilmot;Sheng-Han Kuo;Susan Perlman

  • The cerebellum does more than sensory prediction error-based learning in sensorimotor adaptation tasks

    Peter A. Butcher;Richard B. Ivry;Sheng Han Kuo;David Rydz

  • Cerebellar oscillations driven by synaptic pruning deficits of cerebellar climbing fibers contribute to tremor pathophysiology

    Ming Kai Pan;Yong Shi Li;Shi Bing Wong;Chun Lun Ni

  • Abnormal climbing fibre-Purkinje cell synaptic connections in the essential tremor cerebellum.

    Chi Ying Lin;Elan D. Louis;Phyllis L. Faust;Arnulf H. Koeppen

  • SMPD1 mutations, activity, and α-synuclein accumulation in Parkinson's disease

    Roy N. Alcalay;Victoria Mallett;Benoît Vanderperre;Omid Tavassoly

  • Depression and clinical progression in spinocerebellar ataxias

    Raymond Y. Lo;Karla P. Figueroa;Stefan M. Pulst;Susan Perlman

  • AMPA Receptor Synaptic Targeting Regulated by Stargazin Interactions with the Golgi-Resident PDZ Protein nPIST

    Adolfo E. Cuadra;Sheng Han Kuo;Yoshimi Kawasaki;David S. Bredt

  • Increased number of heterotopic Purkinje cells in essential tremor

    Sheng Han Kuo;Cordelia Erickson-Davis;Arthur Gillman;Phyllis L. Faust

  • Purkinje cell loss in essential tremor: Random sampling quantification and nearest neighbor analysis

    Matthew Choe;Etty Cortés;Jean Paul G. Vonsattel;Sheng Han Kuo

Frequent Co-Authors

Elan D. Louis
Elan D. Louis The University of Texas Southwestern Medical Center
Jean Paul Vonsattel
Jean Paul Vonsattel Columbia University
Stefan M. Pulst
Stefan M. Pulst University of Utah
Susan Perlman
Susan Perlman University of California, Los Angeles
Tetsuo Ashizawa
Tetsuo Ashizawa Houston Methodist
Jeremy D. Schmahmann
Jeremy D. Schmahmann Harvard Medical School
Vikram G. Shakkottai
Vikram G. Shakkottai The University of Texas Southwestern Medical Center
Henry L. Paulson
Henry L. Paulson University of Michigan–Ann Arbor
Christopher M. Gomez
Christopher M. Gomez University of Chicago
David Sulzer
David Sulzer Columbia University

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