World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
80
Citations
23482
World Ranking
1613
National Ranking
23

Kuncheng Li 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 Kuncheng Li 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: 391 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.

Kuncheng Li 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 Kuncheng Li 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: 80 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Kuncheng Li is affiliated with Capital Medical University in China, contributing extensively to the fields of Medicine and Neuroscience. Their research has a significant focus on radiology, neuroimaging, and cardiovascular medicine. Over their career, they have published extensively in areas that include functional brain connectivity, advanced neuroimaging techniques, cardiac imaging, and the study of dementia and cognitive impairment.

The scientist's main fields of study encompass Medicine with 104 publications and Neuroscience with 35 publications. Their subfields of study highlight expertise in Radiology, Nuclear Medicine and Imaging (41 publications), Cognitive Neuroscience (20 publications), Cardiology and Cardiovascular Medicine (16 publications), Neurology (10 publications), and Psychiatry and Mental Health (8 publications).

Key research topics covered by Kuncheng Li include:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Cardiac Imaging and Diagnostics
  • Advanced MRI Techniques and Applications
  • Cardiovascular Function and Risk Factors
  • Dementia and Cognitive Impairment Research
  • Multiple Sclerosis Research Studies

Among the frequent coauthors collaborating with Kuncheng Li are Peipeng Liang, Jie Lu, Yiyuan Gao, Zhiwei Zhao, and Gerald M. Pohost. These collaborations suggest active engagement in multidisciplinary research teams and significant contributions to neuroimaging and cardiovascular research communities.

The scientist regularly publishes in established venues such as:

  • Journal of Magnetic Resonance Imaging
  • Neural Plasticity
  • European Radiology
  • Journal of Translational Medicine
  • Frontiers in Cardiovascular Medicine

Selected recent papers authored or coauthored by Kuncheng Li include:

  • "The Worldwide Alzheimer's Disease Neuroimaging Initiative: ADNI-3 updates and global perspectives," 2021, Alzheimer s & Dementia Translational Research & Clinical Interventions
  • "Shale gas exploration and development in the Sichuan Basin: Progress, challenge and countermeasures," 2022, Natural Gas Industry B
  • "Repetitive transcranial magnetic stimulation improves Parkinson's freezing of gait via normalizing brain connectivity," 2020, npj Parkinson s Disease
  • "Multicenter dataset of multi-shell diffusion MRI in healthy traveling adults with identical settings," 2020, Scientific Data
  • "Methyl-grafted silica nanoparticle stabilized water-in-oil Pickering emulsions with low-temperature stability," 2020, Journal of Colloid and Interface Science

Best Publications

  • Changes in hippocampal connectivity in the early stages of Alzheimer's disease: evidence from resting state fMRI.

    Liang Wang;Yufeng Zang;Yong He;Meng Liang

  • Altered functional connectivity in early Alzheimer's disease: A resting‐state fMRI study

    Kun Wang;Meng Liang;Liang Wang;Lixia Tian

  • DYNAMIC FUNCTIONAL REORGANIZATION OF THE MOTOR EXECUTION NETWORK AFTER STROKE

    Liang Wang;Chunshui Yu;Chunshui Yu;Hai Chen;Wen Qin

  • Brain Anatomical Network and Intelligence

    Y Li;Y Liu;J Li;W Qin

  • Regional coherence changes in the early stages of Alzheimer’s disease: A combined structural and resting-state functional MRI study

    Yong He;Liang Wang;Yufeng Zang;Yufeng Zang;Lixia Tian

  • Parcellating cortical functional networks in individuals

    Danhong Wang;Randy L Buckner;Michael D Fox;Michael D Fox;Daphne J Holt

  • Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: a resting-state fMRI study.

    Ying Han;Jinhui Wang;Zhilian Zhao;Baoquan Min

  • An open science resource for establishing reliability and reproducibility in functional connectomics

    Xi Nian Zuo;Jeffrey S. Anderson;Pierre Bellec;Rasmus M. Birn

  • Regional homogeneity changes in patients with Parkinson's disease.

    Tao Wu;Xiangyu Long;Yufeng Zang;Liang Wang

  • Changes of functional connectivity of the motor network in the resting state in Parkinson's disease.

    Tao Wu;Liang Wang;Yi Chen;Cheng Zhao

  • Impairment and compensation coexist in amnestic MCI default mode network.

    Zhigang Qi;Xia Wu;Zhiqun Wang;Nang Zhang

  • Diffusion Tensor Tractography Reveals Disrupted Topological Efficiency in White Matter Structural Networks in Multiple Sclerosis

    Ni Shu;Yaou Liu;Kuncheng Li;Yunyun Duan

  • Discriminative analysis of early Alzheimer's disease using multi-modal imaging and multi-level characterization with multi-classifier (M3).

    Zhengjia Dai;Chaogan Yan;Zhiqun Wang;Jinhui Wang

  • Identifying and Mapping Connectivity Patterns of Brain Network Hubs in Alzheimer's Disease

    Zhengjia Dai;Chaogan Yan;Kuncheng Li;Zhiqun Wang

  • Whole brain functional connectivity in the early blind

    Yong Liu;Chunshui Yu;Meng Liang;Jun Li

  • Cerebral and cerebellar gray matter reduction in first-episode patients with major depressive disorder: A voxel-based morphometry study

    Jing Peng;Jiangtao Liu;Binbin Nie;Yang Li

  • Spatial patterns of intrinsic brain activity in mild cognitive impairment and Alzheimer's disease: a resting-state functional MRI study.

    Zhiqun Wang;Chaogan Yan;Cheng Zhao;Zhigang Qi

  • A longitudinal diffusion tensor imaging study on Wallerian degeneration of corticospinal tract after motor pathway stroke.

    Chunshui Yu;Chaozhe Zhu;Yujin Zhang;Hai Chen

  • Thick visual cortex in the early blind

    Jiefeng Jiang;Wanlin Zhu;Wanlin Zhu;Feng Shi;Yong Liu

  • Effective connectivity of brain networks during self-initiated movement in Parkinson's disease.

    Tao Wu;Liang Wang;Mark Hallett;Yi Chen

  • Acupoint-specific fMRI patterns in human brain.

    Bin Yan;Ke Li;Jianyang Xu;Wei Wang

Frequent Co-Authors

Chunshui Yu
Chunshui Yu Tianjin Medical University General Hospital
Wen Qin
Wen Qin Tianjin Medical University General Hospital
Tianzi Jiang
Tianzi Jiang Chinese Academy of Sciences
Yong He
Yong He Beijing Normal University
Ni Shu
Ni Shu Beijing Normal University
Ning Zhong
Ning Zhong Maebashi Institute of Technology
Mingrui Xia
Mingrui Xia Beijing Normal University
Yong Liu
Yong Liu Beijing University of Posts and Telecommunications
Frederik Barkhof
Frederik Barkhof University College London
Helmut Butzkueven
Helmut Butzkueven Monash University

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