World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
45
Citations
7026
World Ranking
6957
National Ranking
40

Yu Kyeong Kim 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 Yu Kyeong Kim 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: 286 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Yu Kyeong Kim 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 Yu Kyeong Kim 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: 45 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Overview

Yu Kyeong Kim is affiliated with Seoul National University in South Korea. Their research primarily focuses on medicine, with specific interests in psychiatry and mental health, physiology, neurology, cognitive neuroscience, and radiology, nuclear medicine, and imaging.

Their studies frequently address topics such as dementia and cognitive impairment research, Alzheimer's disease research and treatments, Parkinson's disease mechanisms and treatments, advanced neuroimaging techniques and applications, functional brain connectivity studies, restless legs syndrome research, and nutritional studies and diet.

Yu Kyeong Kim has published numerous papers including:

  • Serum albumin and beta-amyloid deposition in the human brain, 2020, Neurology
  • Association of moderate alcohol intake with in vivo amyloid-beta deposition in human brain: A cross-sectional study, 2020, PLoS Medicine
  • Serum Uric Acid, Alzheimer-Related Brain Changes, and Cognitive Impairment, 2020, Frontiers in Aging Neuroscience
  • Deep learning-based amyloid PET positivity classification model in the Alzheimer's disease continuum by using 2-[18F]FDG PET, 2021, EJNMMI Research
  • Longitudinal Changes in Isolated Rapid Eye Movement Sleep Behavior Disorder-Related Metabolic Pattern Expression, 2021, Movement Disorders

Their collaborative network includes frequent co-authors such as Min Soo Byun, Dahyun Yi, Dong Young Lee, Chul-Ho Sohn, and Jun-Young Lee.

Yu Kyeong Kim's research has appeared extensively in key academic venues including Alzheimer's & Dementia, Alzheimer's Research & Therapy, Frontiers in Aging Neuroscience, Research Square, and the Journal of Alzheimer's Disease.

Best Publications

  • Re: Alpha-synuclein gene duplication is present in sporadic Parkinson disease

    T. B. Ahn;S. Y. Kim;J. Y. Kim;S. S. Park

  • Improved picture naming in aphasia patients treated with cathodal tDCS to inhibit the right Broca's homologue area.

    Eun Kyoung Kang;Yu Kyeong Kim;Hae Min Sohn;Leonardo G. Cohen

  • Regional cerebral blood flow in children with attention deficit hyperactivity disorder: comparison before and after methylphenidate treatment.

    Jae Sung Lee;Boong Nyun Kim;Eunjoo Kang;Dong Soo Lee

  • Plasma tau/amyloid-β1-42 ratio predicts brain tau deposition and neurodegeneration in Alzheimer's disease.

    Jong Chan Park;Sun Ho Han;Dahyun Yi;Min Soo Byun

  • Altered brain metabolism in vestibular migraine: Comparison of interictal and ictal findings

    Jung H Shin;Yu K Kim;Hyo-Jung Kim;Hyo-Jung Kim;Ji-Soo Kim

  • Effects of transcranial direct current stimulation (tDCS) on post-stroke dysphagia.

    Eun Joo Yang;So Ra Baek;Joonho Shin;Jong Youb Lim

  • Differential features of metabolic abnormalities between medial and lateral temporal lobe epilepsy: quantitative analysis of (18)F-FDG PET using SPM.

    Yu Kyeong Kim;Dong Soo Lee;Sang Kun Lee;Seok-Ki Kim

  • Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease: Methodology and Baseline Sample Characteristics.

    Min Soo Byun;Dahyun Yi;Jun Ho Lee;Young Min Choe

  • Association between estrogen receptor polymorphism and pain susceptibility in female temporomandibular joint osteoarthritis patients.

    S.-C. Kang;D.-G. Lee;J.-H. Choi;S.T. Kim

  • FDG uptake, glucose transporter type 1, and Ki-67 expressions in non-small-cell lung cancer: Correlations and prognostic values

    Xuan Canh Nguyen;Won Woo Lee;Jin Haeng Chung;So Yeon Park

  • The implication of nigrostriatal dopaminergic degeneration in the pathogenesis of REM sleep behavior disorder.

    Kim Yk;Yoon Iy;Kim Jm;Jeong Sh

  • Transcranial direct current stimulation to lessen neuropathic pain after spinal cord injury: a mechanistic PET study.

    Eun Jin Yoon;Yu Kyeong Kim;Yu Kyeong Kim;Yu Kyeong Kim;Hye Ri Kim;Sang Eun Kim;Sang Eun Kim;Sang Eun Kim

  • Retinal thinning associates with nigral dopaminergic loss in de novo Parkinson disease

    Jeeyun Ahn;Jee Young Lee;Tae Wan Kim;Eun Jin Yoon

  • Cortical and white matter alterations in patients with neuropathic pain after spinal cord injury.

    Eun Jin Yoon;Yu Kyeong Kim;Yu Kyeong Kim;Hyung Ik Shin;Youngjo Lee

  • Relationship between salivary flow rate and clinical symptoms and behaviours in patients with dry mouth.

    K.‐I. Suh;J.‐Y. Lee;J.‐W. Chung;Y.‐K. Kim

  • Resting-state regional homogeneity as a biological marker for patients with Internet gaming disorder: A comparison with patients with alcohol use disorder and healthy controls

    Heejung Kim;Yu Kyeong Kim;Ah Reum Gwak;Jae A. Lim

  • Development of Korean standard brain templates.

    Jae Sung Lee;Dong Soo Lee;Jinsu Kim;Yu Kyeong Kim

  • Association of homocysteine with hippocampal volume independent of cerebral amyloid and vascular burden

    Young Min Choe;Bo Kyung Sohn;Hyo Jung Choi;Min Soo Byun

  • Serum albumin and beta-amyloid deposition in the human brain

    Jee Wook Kim;Min Soo Byun;Jun Ho Lee;Dahyun Yi

  • Coffee intake and decreased amyloid pathology in human brain.

    Jee Wook Kim;Min Soo Byun;Dahyun Yi;Jun Ho Lee

  • Functional Recovery After Ischemic Stroke Is Associated With Reduced GABAergic Inhibition in the Cerebral Cortex: A GABA PET Study.

    Yu Kyeong Kim;Eun Joo Yang;Kyehee Cho;Jong Youb Lim

  • Chemically treated plasma Aβ is a potential blood-based biomarker for screening cerebral amyloid deposition

    Jong Chan Park;Sun Ho Han;Hyun Jin Cho;Min Soo Byun

Frequent Co-Authors

Dong Soo Lee
Dong Soo Lee Seoul National University
Yoon-Seok Chang
Yoon-Seok Chang Seoul National University
Sang Heon Cho
Sang Heon Cho Seoul National University
Jong-Min Lee
Jong-Min Lee Hanyang University
Youngjo Lee
Youngjo Lee Seoul National University
Ki Woong Kim
Ki Woong Kim Seoul National University Bundang Hospital
Hyeonseok Yoon
Hyeonseok Yoon Chonnam National University
Daehee Hwang
Daehee Hwang Seoul National University
Jung Seok Choi
Jung Seok Choi Samsung Medical Center
Daijin Kim
Daijin Kim Pohang University of Science and Technology

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Related Online Degrees & Career Pathways

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Each of these online degree programs can enhance your neuroscience background, broaden your career options, and help you make a greater impact in the field of brain science and beyond.

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