World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
47
Citations
10775
World Ranking
6353
National Ranking
96

Gaolang Gong 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 Gaolang Gong 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: 143 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Gaolang Gong 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 Gaolang Gong 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: 47 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Gaolang Gong is affiliated with Beijing Normal University in China and conducts research primarily in the fields of Neuroscience and Medicine. Their work spans multiple subfields including Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Genetics, Psychiatry and Mental Health, and Pediatrics, Perinatology and Child Health.

The scientist's research covers a range of topics with a focus on brain connectivity and imaging techniques. These main topics include:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Hemispheric Asymmetry in Neuroscience
  • Advanced MRI Techniques and Applications
  • Neural dynamics and brain function
  • Neurobiology of Language and Bilingualism
  • EEG and Brain-Computer Interfaces

Recent scholarly publications by Gaolang Gong include:

  • "Development of functional connectome gradients during childhood and adolescence," 2022, Science Bulletin
  • "Identify aberrant white matter microstructure in ASD, ADHD and other neurodevelopmental disorders: A meta-analysis of diffusion tensor imaging studies," 2021, Progress in Neuro-Psychopharmacology and Biological Psychiatry
  • "Facial expression recognition: A meta-analytic review of theoretical models and neuroimaging evidence," 2021, Neuroscience & Biobehavioral Reviews
  • "Glymphatic dysfunction in patients with early-stage amyotrophic lateral sclerosis," 2023, Brain
  • "Sex-related human brain asymmetry in hemispheric functional gradients," 2021, NeuroImage

Gaolang Gong has frequently collaborated with a number of co-authors including:

  • Junhao Luo
  • Yaya Jiang
  • Liyuan Yang
  • Xinyu Liang
  • Suyu Zhong

The scientist's work is often published in several key venues, with multiple contributions made to:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • eLife
  • Cerebral Cortex
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition

Best Publications

  • Mapping Anatomical Connectivity Patterns of Human Cerebral Cortex Using In Vivo Diffusion Tensor Imaging Tractography

    Gaolang Gong;Yong He;Luis Concha;Catherine Lebel

  • PANDA: a pipeline toolbox for analyzing brain diffusion images

    Zaixu Cui;Suyu Zhong;Pengfei Xu;Yong He

  • Age- and Gender-Related Differences in the Cortical Anatomical Network

    Gaolang Gong;Pedro Rosa-Neto;Felix Carbonell;Zhang J. Chen

  • The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features.

    Zaixu Cui;Gaolang Gong;Gaolang Gong

  • Convergence and divergence of thickness correlations with diffusion connections across the human cerebral cortex.

    Gaolang Gong;Yong He;Zhang John Chen;Alan C. Evans

  • Brain Connectivity: Gender Makes a Difference

    Gaolang Gong;Yong He;Alan C. Evans

  • Neuronal Networks in Alzheimer's Disease

    Yong He;Zhang Chen;Gaolang Gong;Alan Evans

  • Voxel-based detection of white matter abnormalities in mild Alzheimer disease

    S. Xie;J. X. Xiao;G. L. Gong;Y. F. Zang

  • Probabilistic Diffusion Tractography and Graph Theory Analysis Reveal Abnormal White Matter Structural Connectivity Networks in Drug-Naive Boys with Attention Deficit/Hyperactivity Disorder

    Qingjiu Cao;Ni Shu;Li An;Peng Wang

  • Understanding Structural-Functional Relationships in the Human Brain: A Large-Scale Network Perspective

    Zhijiang Wang;Zhengjia Dai;Gaolang Gong;Changsong Zhou

  • Functional and Structural Connectivity Between the Perigenual Anterior Cingulate and Amygdala in Bipolar Disorder

    Fei Wang;Fei Wang;Jessica H. Kalmar;Jessica H. Kalmar;Yong He;Yong He;Marcel Jackowski;Marcel Jackowski

  • 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

  • Development of Human Brain Structural Networks Through Infancy and Childhood

    Hao Huang;Ni Shu;Virendra Mishra;Tina Jeon

  • White matter abnormalities in first-episode, treatment-naive young adults with major depressive disorder.

    Ning Ma;Lingjiang Li;Ni Shu;Jun Liu

  • 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

  • Age-related alterations in the modular organization of structural cortical network by using cortical thickness from MRI.

    Zhang John Chen;Yong He;Pedro Rosa-Neto;Gaolang Gong

  • White matter structural connectivity underlying semantic processing: evidence from brain damaged patients

    Zaizhu Han;Yujun Ma;Gaolang Gong;Yong He

  • White matter integrity of the whole brain is disrupted in first-episode schizophrenia

    Yihui Hao;Zhening Liu;Tianzi Jiang;Gaolang Gong

  • Asymmetry analysis of cingulum based on scale-invariant parameterization by diffusion tensor imaging.

    Gaolang Gong;Tianzi Jiang;Chaozhe Zhu;Yufeng Zang

  • Disrupted white matter connectivity underlying developmental dyslexia: A machine learning approach.

    Zaixu Cui;Zhichao Xia;Mengmeng Su;Hua Shu

  • Prefrontal white matter abnormalities in young adult with major depressive disorder: a diffusion tensor imaging study.

    Lingjiang Li;Ning Ma;Zexuan Li;Liwen Tan

Frequent Co-Authors

Yong He
Yong He Beijing Normal University
Yanchao Bi
Yanchao Bi Peking University
Alan C. Evans
Alan C. Evans McGill University
Tianzi Jiang
Tianzi Jiang Chinese Academy of Sciences
Hua Shu
Hua Shu Beijing Normal University
Yu-Feng Zang
Yu-Feng Zang Hangzhou Normal University
Jia-Hong Gao
Jia-Hong Gao Peking University
Mingrui Xia
Mingrui Xia Beijing Normal University
Ni Shu
Ni Shu Beijing Normal University
Qi Dong
Qi Dong Beijing Normal University

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