World's Best Scientists 2026 revealed!
Jia-Hong Gao

Jia-Hong Gao

D-Index & Metrics

Neuroscience

D-Index
65
Citations
14621
World Ranking
3126
National Ranking
39

Jia-Hong Gao 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 Jia-Hong Gao 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: 310 publications — 83rd percentile

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

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

Jia-Hong Gao 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 Jia-Hong Gao 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: 65 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Overview

Jia-Hong Gao is affiliated with Peking University in China and specializes in neuroscience and medicine, with a focus on cognitive neuroscience. Their work extends across several subfields including radiology, nuclear medicine and imaging, experimental and cognitive psychology, atomic and molecular physics, and psychiatry and mental health.

Their research covers various topics, prominently functional brain connectivity studies, advanced MRI techniques and applications, and advanced neuroimaging techniques and applications. Additional fields of study include neural dynamics and brain function, EEG and brain-computer interfaces, atomic and subatomic physics research, and sleep and wakefulness research.

Gao has contributed to multiple publications in prestigious venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Cerebral Cortex
  • Human Brain Mapping
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

Among their recent scientific papers are:

  • Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study (2020, NeuroImage)
  • Development of functional connectome gradients during childhood and adolescence (2022, Science Bulletin)
  • Two Forms of Knowledge Representations in the Human Brain (2020, Neuron)
  • Increasing diversity in connectomics with the Chinese Human Connectome Project (2022, Nature Neuroscience)
  • Reliability and Individual Specificity of EEG Microstate Characteristics (2020, Brain Topography)

Gao frequently collaborates with other researchers, notably Weiwei Men, Yong He, Yanpei Wang, Sha Tao, and Shaozheng Qin. These frequent co-authors are closely involved in the scientist's various investigations and publications.

Best Publications

  • Cerebellum implicated in sensory acquisition and discrimination rather than motor control

    Jia Hong Gao;Lawrence M. Parsons;James M. Bower;Jinhu Xiong

  • The neural system underlying Chinese logograph reading.

    Li Hai Tan;Ho-Ling Anthony Liu;Charles A. Perfetti;John A. Spinks

  • Neural Systems of Second Language Reading Are Shaped by Native Language

    Li Hai Tan;John A. Spinks;Ching Mei Feng;Wai Ting Siok

  • Brain activation in the processing of Chinese characters and words: a functional MRI study.

    Li Hai Tan;John A. Spinks;Jia Hong Gao;Ho Ling Liu

  • Interregional connectivity to primary motor cortex revealed using MRI resting state images.

    Jinhu Xiong;Lawrence M. Parsons;Jia Hong Gao;Peter T. Fox

  • Clustered pixels analysis for functional MRI activation studies of the human brain

    Jinhu Xiong;Jia‐Hong ‐H Gao;Jack L. Lancaster;Peter T. Fox

  • The temporal response of the brain after eating revealed by functional MRI

    Yijun Liu;Jia-Hong Gao;Ho-Ling Liu;Peter T. Fox

  • Altered hypothalamic function in response to glucose ingestion in obese humans.

    Masafumi Matsuda;Yijun Liu;Srikanth Mahankali;Yonglin Pu

  • Lie detection by functional magnetic resonance imaging

    Tatia M C Lee;Ho Ling Liu;Li Hai Tan;Chetwyn C H Chan

  • Prefrontal hyperactivation during working memory task in untreated individuals with major depressive disorder.

    K. Matsuo;K. Matsuo;D. C. Glahn;M. A M Peluso;M. A M Peluso;J. P. Hatch

  • Retinotopic organization of early visual spatial attention effects as revealed by PET and ERPs.

    M. G. Woldorff;Peter T Fox;M. Matzke;Jack L Lancaster

  • Nonlinear coupling between cerebral blood flow, oxygen consumption, and ATP production in human visual cortex

    Ai Ling Lin;Peter T. Fox;Jean Hardies;Timothy Q. Duong

  • Intrinsic resting-state activity predicts working memory brain activation and behavioral performance.

    Qihong Zou;Qihong Zou;Qihong Zou;Thomas J. Ross;Hong Gu;Xiujuan Geng

  • Gender differences in neural correlates of recognition of happy and sad faces in humans assessed by functional magnetic resonance imaging.

    Tatia M.C. Lee;Ho-Ling Anthony Liu;Rumjahn Hoosain;Wan Ting Liao

  • An fMRI study with written Chinese.

    Li Hai Tan;Ching Mei Feng;Ching Mei Feng;Peter T. Fox;Jia Hong Gao;Jia Hong Gao

  • Intrinsic Functional Connectivity Patterns Predict Consciousness Level and Recovery Outcome in Acquired Brain Injury

    Xuehai Wu;Qihong Zou;Jin Hu;Weijun Tang

  • Directly mapping Magnetic field effects of neuronal activity by Magnetic resonance imaging

    Jinhu Xiong;Peter T. Fox;Jia Hong Gao

  • Amygdala hyperactivation in untreated depressed individuals

    Marco A M Peluso;Marco A M Peluso;Marco A M Peluso;David C. Glahn;Koji Matsuo;Koji Matsuo;E. Serap Monkul;E. Serap Monkul;E. Serap Monkul

  • Is left inferior frontal gyrus a general mechanism for selection

    John X. Zhang;Ching Mei Feng;Peter T. Fox;Jia Hong Gao

  • Involvement of the cerebellum in semantic discrimination: An fMRI study

    Huadong Xiang;Chongyu Lin;Xiaohai Ma;Zhaoqi Zhang

Frequent Co-Authors

Peter T. Fox
Peter T. Fox The University of Texas Health Science Center at San Antonio
Jinhu Xiong
Jinhu Xiong University of Iowa
Li Hai Tan
Li Hai Tan Shenzhen University
Jack L. Lancaster
Jack L. Lancaster The University of Texas Health Science Center at San Antonio
Yijun Liu
Yijun Liu University of Florida
Tatia M.C. Lee
Tatia M.C. Lee University of Hong Kong
Marty G. Woldorff
Marty G. Woldorff Duke University
Che Hin Chetwyn Chan
Che Hin Chetwyn Chan Hong Kong Polytechnic University
Yihong Yang
Yihong Yang National Institute on Drug Abuse
Yong He
Yong He Beijing Normal University

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