World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
71
Citations
24553
World Ranking
2366
National Ranking
1121

Un Jung Kang 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 Un Jung Kang 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: 176 publications — 54th percentile

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

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

Un Jung Kang 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 Un Jung Kang 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: 71 D-Index — 75th percentile

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

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

Overview

Un Jung Kang is a researcher affiliated with New York University in the United States. Their work primarily spans the fields of Medicine and Neuroscience, with a particular emphasis on neurology and molecular biology subfields. They have contributed significantly to the understanding of neurological disorders, with a notable focus on Parkinson's disease and related mechanisms.

Their research topics include:

  • Parkinson's Disease Mechanisms and Treatments
  • Neurological disorders and treatments
  • Neuroscience and Neuropharmacology Research
  • Long-Term Effects of COVID-19
  • Nuclear Receptors and Signaling
  • Genetic Neurodegenerative Diseases
  • Neuroinflammation and Neurodegeneration Mechanisms

Un Jung Kang has published extensively in several scientific venues. The most frequent publication outlets for their work are:

  • Movement Disorders
  • npj Parkinson s Disease
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Neurology
  • Acta Neuropathologica Communications

Their recent scholarly articles include:

  • High diagnostic performance of independent alpha-synuclein seed amplification assays for detection of early Parkinson's disease, 2021, Acta Neuropathologica Communications
  • Impact of the COVID-19 Pandemic on Parkinson's Disease and Movement Disorders, 2020, Movement Disorders
  • α-Synuclein in blood exosomes immunoprecipitated using neuronal and oligodendroglial markers distinguishes Parkinson's disease from multiple system atrophy, 2021, Acta Neuropathologica
  • Mitophagy deficiency increases NLRP3 to induce brown fat dysfunction in mice, 2020, Autophagy
  • A rapid α-synuclein seed assay of Parkinson's disease CSF panel shows high diagnostic accuracy, 2020, Annals of Clinical and Translational Neurology

Frequent collaborators in their research include:

  • Roy N. Alcalay
  • C. Thong
  • Marco J. Russo
  • Luis Concha-Marambio
  • Samantha J. Hutten

Un Jung Kang's work largely centers on neurological disorders, particularly Parkinson's disease, exploring diagnostic methods, molecular mechanisms, and the impact of external factors such as the COVID-19 pandemic. Their contributions intersect with cellular and molecular neuroscience as well as epidemiology, highlighting an interdisciplinary approach to complex brain disorders.

Best Publications

  • Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results.

    Christopher G. Goetz;Barbara C. Tilley;Stephanie R. Shaftman;Glenn T. Stebbins

  • DJ-1 and α-synuclein in human cerebrospinal fluid as biomarkers of Parkinson's disease

    Zhen Hong;Min Shi;Kathryn A. Chung;Joseph F. Quinn

  • A controlled trial of rasagiline in early Parkinson disease: The tempo study

    Andrew Siderowf;Matthew Stern;Ira Shoulson;Karl Kieburtz

  • Pathophysiology of L-dopa-induced motor and non-motor complications in Parkinson's disease.

    Matthieu F. Bastide;Wassilios G. Meissner;Barbara Picconi;Stefania Fasano

  • Cerebrospinal fluid biomarkers for Parkinson disease diagnosis and progression.

    Min Shi;Joshua Bradner;Aneeka M. Hancock;Kathryn A. Chung

  • Double-blind, placebo-controlled trial of botulinum toxin injections for the treatment of spasmodic torticollis.

    P. Greene;U. Kang;S. Fahn;M. Brin

  • Intrastriatal implantation of fibroblasts genetically engineered to produce brain-derived neurotrophic factor prevents degeneration of dopaminergic neurons in a rat model of Parkinson's disease

    Marc Levivier;Serge Przedborski;Craig C. Bencsics;Un Jung U.J. Kang

  • Selective loss of dopaminergic neurons in the substantia nigra of Pitx3-deficient aphakia mice

    Dong-Youn Hwang;Paul Ardayfio;Un Jung Kang;Elena V Semina

  • Biochemical and anatomical characterization of forepaw adjusting steps in rat models of Parkinson's disease: studies on medial forebrain bundle and striatal lesions.

    J.-W Chang;S.R Wachtel;D Young;U.-J Kang

  • A Randomized Clinical Trial of High-Dosage Coenzyme Q10 in Early Parkinson Disease: No Evidence of Benefit

    M Flint Beal;David Oakes;Ira Shoulson

  • Characterization of PINK1 processing, stability, and subcellular localization

    William Lin;Un Jung Kang

  • Age-dependent motor deficits and dopaminergic dysfunction in DJ-1 null mice.

    Linan Chen;Barbara Cagniard;Tiffany Mathews;Sara Jones

  • Genetic engineering of mouse embryonic stem cells by Nurr1 enhances differentiation and maturation into dopaminergic neurons

    Sangmi Chung;Kai-C. Sonntag;Therese Andersson;Lars M. Bjorklund

  • Behavioral models of Parkinson's disease in rodents: A new look at an old problem

    Gloria E. Meredith;Un Jung Kang

  • Neuromelanin detection by magnetic resonance imaging (MRI) and its promise as a biomarker for Parkinson’s disease

    David Sulzer;Clifford Cassidy;Guillermo Horga;Un Jung Kang

  • Heterozygosity for a mutation in the parkin gene leads to later onset Parkinson disease

    Tatiana Foroud;S. K. Uniacke;L. Liu;Nathan D Pankratz

  • Unregulated Cytosolic Dopamine Causes Neurodegeneration Associated with Oxidative Stress in Mice

    Linan Chen;Yunmin Ding;Barbara Cagniard;Amber D Van Laar

  • Striatal cholinergic interneuron regulation and circuit effects

    Sean Austin O. Lim;Un Jung Kang;Daniel S. McGehee

  • High diagnostic performance of independent alpha-synuclein seed amplification assays for detection of early Parkinson's disease.

    Marco J. Russo;Christina D. Orru;Luis Concha-Marambio;Simone Giaisi

  • Comparative study of cerebrospinal fluid α-synuclein seeding aggregation assays for diagnosis of Parkinson's disease.

    Un Jung Kang;Amelia K. Boehme;Graham Fairfoul;Mohammad Shahnawaz

  • Natural history and treatment of tardive dystonia

    Un Jung Kang;Robert E. Burke;Stanley Fahn

  • Plasma-based circulating MicroRNA biomarkers for Parkinson's disease.

    Sok Kean Khoo;David Petillo;Un Jung Kang;James H. Resau

  • Genetic selection of sox1GFP-expressing neural precursors removes residual tumorigenic pluripotent stem cells and attenuates tumor formation after transplantation

    S. Chung;B.-S. Shin;E. Hedlund;E. Hedlund;J. Pruszak;J. Pruszak

Frequent Co-Authors

Stanley Fahn
Stanley Fahn Columbia University
Kwang-Soo Kim
Kwang-Soo Kim Harvard University
Joseph Jankovic
Joseph Jankovic Baylor College of Medicine
Peter A. LeWitt
Peter A. LeWitt Wayne State University
David Sulzer
David Sulzer Columbia University
Robert A. Hauser
Robert A. Hauser University of South Florida
Kenneth Marek
Kenneth Marek Institute for Neurodegenerative Disorders
Rajesh Pahwa
Rajesh Pahwa University of Kansas
Ole Isacson
Ole Isacson Harvard University
Michael J. Aminoff
Michael J. Aminoff University of California, San Francisco

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