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Jia-Hong Gao

Jia-Hong Gao

Peking University
China

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 65 3126 2857 39 36 310 14621

Jia-Hong Gao publications per year

The chart shows the history of publications by Jia-Hong Gao between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jia-Hong Gao published across 38 years, from 1988 to 2025, averaging 11.5 papers a year. Output peaked at 48 publications in 2024. 89 of the 437 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 48. Peak 48 publications in 2024. 1988: 1 publication 1989: 0 publications 1990: 0 publications 1991: 2 publications 1992: 2 publications 1993: 0 publications 1994: 3 publications 1995: 5 publications 1996: 7 publications 1997: 12 publications 1998: 9 publications 1999: 18 publications 2000: 21 publications 2001: 16 publications 2002: 5 publications 2003: 12 publications 2004: 8 publications 2005: 4 publications 2006: 5 publications 2007: 9 publications 2008: 7 publications 2009: 9 publications 2010: 7 publications 2011: 6 publications 2012: 4 publications 2013: 7 publications 2014: 12 publications 2015: 16 publications 2016: 8 publications 2017: 13 publications 2018: 8 publications 2019: 9 publications 2020: 23 publications 2021: 29 publications 2022: 24 publications 2023: 27 publications 2024: 48 publications 2025: 41 publications
1988 2025

437 publications in total across all disciplines

View publications per year as a table
Jia-Hong Gao: publications per year, 1988 to 2025
Year Publications
1988 1
1989 0
1990 0
1991 2
1992 2
1993 0
1994 3
1995 5
1996 7
1997 12
1998 9
1999 18
2000 21
2001 16
2002 5
2003 12
2004 8
2005 4
2006 5
2007 9
2008 7
2009 9
2010 7
2011 6
2012 4
2013 7
2014 12
2015 16
2016 8
2017 13
2018 8
2019 9
2020 23
2021 29
2022 24
2023 27
2024 48
2025 41
Total 437
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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.

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, 308–317 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: 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.

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
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
308–317 128 310
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
Download as CSV

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.

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, 64–65 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: 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.

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
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 65
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
Download as CSV

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

External Links

Personal website of Jia-Hong Gao

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Best Scientists Citing Jia-Hong Gao

Peter T. Fox

Peter T. Fox

The University of Texas Health Science Center at San Antonio

Publications: 48

Karl Deisseroth

Karl Deisseroth

Stanford University

Publications: 37

Tatia M.C. Lee

Tatia M.C. Lee

University of Hong Kong

Publications: 35

Chuansheng Chen

Chuansheng Chen

University of California, Irvine

Publications: 34

Scott K. Holland

Scott K. Holland

Medpace (United States)

Publications: 32

Guosheng Ding

Guosheng Ding

Beijing Normal University

Publications: 32

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 30

Peter C.M. van Zijl

Peter C.M. van Zijl

Kennedy Krieger Institute

Publications: 30

Gui Xue

Gui Xue

Beijing Normal University

Publications: 29

Li Hai Tan

Li Hai Tan

Shenzhen University

Publications: 28

John C. Gore

John C. Gore

Vanderbilt University Medical Center

Publications: 26

Charles A. Perfetti

Charles A. Perfetti

University of Pittsburgh

Publications: 26

Marty G. Woldorff

Marty G. Woldorff

Duke University

Publications: 26

James R. Booth

James R. Booth

Vanderbilt University

Publications: 26

Richard B. Buxton

Richard B. Buxton

University of California, San Diego

Publications: 25

Yihong Yang

Yihong Yang

National Institute on Drug Abuse

Publications: 25

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