World's Best Scientists 2026 revealed!
Chao-Gan Yan

Chao-Gan Yan

D-Index & Metrics

Neuroscience

D-Index
48
Citations
22614
World Ranking
6072
National Ranking
92

Chao-Gan Yan 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 Chao-Gan Yan 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: 105 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Chao-Gan Yan 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 Chao-Gan Yan 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

Chao-Gan Yan is affiliated with the Chinese Academy of Sciences in China and focuses extensively on research within neuroscience and medicine. Their work spans multiple subfields including cognitive neuroscience, radiology, nuclear medicine and imaging, experimental and cognitive psychology, neurology, and psychiatry and mental health.

The scientist's research emphasizes functional brain connectivity studies, mental health research topics, advanced neuroimaging techniques and applications, neural dynamics and brain function, as well as treatment approaches for major depression and investigations into mind wandering and attention.

Chao-Gan Yan has contributed to numerous publications, with frequent appearances in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Science Bulletin
  • Translational Psychiatry
  • Psychological Medicine

Some recent papers authored or co-authored by Chao-Gan Yan include:

  • Disrupted intrinsic functional brain topology in patients with major depressive disorder, 2021, Molecular Psychiatry
  • Altered resting-state dynamic functional brain networks in major depressive disorder: Findings from the REST-meta-MDD consortium, 2020, NeuroImage Clinical
  • Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns, 2020, NeuroImage Clinical
  • The subsystem mechanism of default mode network underlying rumination: A reproducible neuroimaging study, 2020, NeuroImage
  • The DIRECT consortium and the REST-meta-MDD project: towards neuroimaging biomarkers of major depressive disorder, 2022, Psychoradiology

Frequent co-authors collaborating with Chao-Gan Yan include Xiao Chen, F. Xavier Castellanos, Qiyong Gong, Yicheng Long, and Chunming Xie.

Their main scientific domains cover:

  • Neuroscience
  • Medicine

Subfields of focus are:

  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Experimental and Cognitive Psychology
  • Neurology
  • Psychiatry and Mental health

Main topics studied by Chao-Gan Yan are:

  • Functional Brain Connectivity Studies
  • Mental Health Research Topics
  • Advanced Neuroimaging Techniques and Applications
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications
  • Treatment of Major Depression
  • Mind wandering and attention

Best Publications

  • DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI

    Unknown

  • DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging.

    Chao-Gan Yan;Xin-Di Wang;Xi-Nian Zuo;Yu-Feng Zang

  • REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing

    Xiao-Wei Song;Zhang-Ye Dong;Xiang-Yu Long;Su-Fang Li

  • A Comprehensive Assessment of Regional Variation in the Impact of Head Micromovements on Functional Connectomics

    Chao-Gan Yan;Brian Cheung;Clare Kelly;Stanley J. Colcombe

  • The NKI-Rockland Sample: A Model for Accelerating the Pace of Discovery Science in Psychiatry.

    Kate Brody Nooner;Kate Brody Nooner;Stanley J. Colcombe;Russell H. Tobe;Maarten Mennes;Maarten Mennes

  • Reduced default mode network functional connectivity in patients with recurrent major depressive disorder.

    Chao-Gan Yan;Xiao Chen;Le Li;Francisco Xavier Castellanos

  • Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans

    Yong-yong He;Jinhui Wang;Liang Wang;Zhang J. Chen

  • Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depression

    Hui-Xia Zhou;Xiao Chen;Yang-Qian Shen;Le Li

  • Imaging human connectomes at the macroscale

    R Cameron Craddock;Saad Jbabdi;Chao-Gan Yan;Chao-Gan Yan;Chao-Gan Yan;Joshua T Vogelstein

  • Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes

    Chao Gan Yan;R. Cameron Craddock;R. Cameron Craddock;Xi Nian Zuo;Yu Feng Zang

  • Hemisphere- and gender-related differences in small-world brain networks: a resting-state functional MRI study.

    Lixia Tian;Jinhui Wang;Chaogan Yan;Yong He

  • Spontaneous brain activity in the default mode network is sensitive to different resting-state conditions with limited cognitive load.

    Chaogan Yan;Dongqiang Liu;Yong-yong He;Qihong Zou

  • RESTplus: an improved toolkit for resting-state functional magnetic resonance imaging data processing

    Xi-Ze Jia;Jue Wang;Hai-Yang Sun;Han Zhang;Han Zhang

  • Reproducibility of R-fMRI metrics on the impact of different strategies for multiple comparison correction and sample sizes.

    Xiao Chen;Bin Lu;Chao-Gan Yan

  • 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

  • Spatiotemporal structure of intracranial electric fields induced by transcranial electric stimulation in humans and nonhuman primates.

    Alexander Opitz;Alexander Opitz;Arnaud Falchier;Chao Gan Yan;Chao Gan Yan;Erin M. Yeagle

  • 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

  • Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder.

    Chao-Zhe Zhu;Yu-Feng Zang;Yu-Feng Zang;Qing-Jiu Cao;Chao-Gan Yan

  • Sex- and Brain Size–Related Small-World Structural Cortical Networks in Young Adults: A DTI Tractography Study

    Chaogan Yan;Gaolang Gong;Jinhui Wang;Deyi Wang

  • Effects of Different Correlation Metrics and Preprocessing Factors on Small-World Brain Functional Networks: A Resting-State Functional MRI Study

    Xia Liang;Jinhui Wang;Chaogan Yan;Ni Shu

Frequent Co-Authors

Yu-Feng Zang
Yu-Feng Zang Hangzhou Normal University
Michael P. Milham
Michael P. Milham Child Mind Institute
Xi-Nian Zuo
Xi-Nian Zuo Beijing Normal University
Yong He
Yong He Beijing Normal University
Xiao Chen
Xiao Chen Zhejiang University
Qiyong Gong
Qiyong Gong Sichuan University
Wenbin Guo
Wenbin Guo Central South University
Jiang Qiu
Jiang Qiu Southwest University
R. Cameron Craddock
R. Cameron Craddock Facebook (United States)
Jian Yang
Jian Yang University of Birmingham

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