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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 47 6353 5845 96 93 143 10775

Gaolang Gong publications per year

The chart shows the history of publications by Gaolang Gong between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Gaolang Gong published across 22 years, from 2004 to 2025, averaging 8.3 papers a year. Output peaked at 19 publications in 2021. 26 of the 182 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 19. Peak 19 publications in 2021. 2004: 1 publication 2005: 5 publications 2006: 5 publications 2007: 4 publications 2008: 3 publications 2009: 5 publications 2010: 2 publications 2011: 4 publications 2012: 5 publications 2013: 10 publications 2014: 4 publications 2015: 15 publications 2016: 16 publications 2017: 12 publications 2018: 14 publications 2019: 7 publications 2020: 6 publications 2021: 19 publications 2022: 6 publications 2023: 13 publications 2024: 17 publications 2025: 9 publications
2004 2025

182 publications in total across all disciplines

View publications per year as a table
Gaolang Gong: publications per year, 2004 to 2025
Year Publications
2004 1
2005 5
2006 5
2007 4
2008 3
2009 5
2010 2
2011 4
2012 5
2013 10
2014 4
2015 15
2016 16
2017 12
2018 14
2019 7
2020 6
2021 19
2022 6
2023 13
2024 17
2025 9
Total 182
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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.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 138–147 publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 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.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456 143
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
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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.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 46–47 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512 47
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
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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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