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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 44 7148 6583 3094 2789 167 7867

Hong Gu publications per year

The chart shows the history of publications by Hong Gu between 1995 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Hong Gu published across 31 years, from 1995 to 2025, averaging 14.9 papers a year. Output peaked at 49 publications in 2021. 15 of the 462 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1995 to 2025. Vertical axis: number of publications, 0 to 49. Peak 49 publications in 2021. 1995: 1 publication 1996: 1 publication 1997: 1 publication 1998: 6 publications 1999: 1 publication 2000: 4 publications 2001: 11 publications 2002: 7 publications 2003: 4 publications 2004: 2 publications 2005: 11 publications 2006: 12 publications 2007: 16 publications 2008: 14 publications 2009: 17 publications 2010: 24 publications 2011: 21 publications 2012: 23 publications 2013: 21 publications 2014: 12 publications 2015: 21 publications 2016: 26 publications 2017: 34 publications 2018: 19 publications 2019: 39 publications 2020: 41 publications 2021: 49 publications 2022: 7 publications 2023: 2 publications 2024: 7 publications 2025: 8 publications
1995 2025

462 publications in total across all disciplines

View publications per year as a table
Hong Gu: publications per year, 1995 to 2025
Year Publications
1995 1
1996 1
1997 1
1998 6
1999 1
2000 4
2001 11
2002 7
2003 4
2004 2
2005 11
2006 12
2007 16
2008 14
2009 17
2010 24
2011 21
2012 23
2013 21
2014 12
2015 21
2016 26
2017 34
2018 19
2019 39
2020 41
2021 49
2022 7
2023 2
2024 7
2025 8
Total 462
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Hong Gu 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 Hong Gu 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, 158–167 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: 167 publications — 50th percentile

50% 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
158–167 397 167
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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Hong Gu 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 Hong Gu 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, 44–45 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: 44 D-Index — 27th percentile

27% 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 44
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
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

Hong Gu is affiliated with the National Institute on Drug Abuse in the United States and conducts research primarily in the fields of neuroscience and medicine. Their work focuses extensively on cognitive neuroscience, functional brain connectivity, and neural dynamics as well as brain function.

Their research interests include:

  • Functional Brain Connectivity Studies
  • Neural and Behavioral Psychology Studies
  • Neural dynamics and brain function
  • Mental Health Research Topics
  • Neurotransmitter Receptor Influence on Behavior
  • Memory and Neural Mechanisms
  • Advanced MRI Techniques and Applications

Gu's subfields of study cover:

  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Experimental and Cognitive Psychology
  • Clinical Psychology
  • Electrical and Electronic Engineering

Their recent papers include:

  • Temporal Dynamics of Functional Brain States Underlie Cognitive Performance, 2020, Cerebral Cortex
  • Converging Structural and Functional Evidence for a Rat Salience Network, 2020, Biological Psychiatry
  • Functional connectivity of dorsolateral prefrontal cortex predicts cocaine relapse: implications for neuromodulation treatment, 2021, Brain Communications
  • Short-term nicotine deprivation alters dorsal anterior cingulate glutamate concentration and concomitant cingulate-cortical functional connectivity, 2020, Neuropsychopharmacology
  • Disrupted Dynamic Interactions Between Large-Scale Brain Networks in Cocaine Users Are Associated With Dependence Severity, 2022, Biological Psychiatry Cognitive Neuroscience and Neuroimaging

Frequent co-authors collaborating with Hong Gu are:

  • Tianye Zhai
  • Betty Jo Salmeron
  • Yihong Yang
  • Hanbing Lu
  • Elliot A. Stein

The venues in which Gu frequently publishes include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Biological Psychiatry
  • Cerebral Cortex
  • Frontiers in Neuroscience

Best Publications

  • Rat brains also have a default mode network

    Hanbing Lu;Qihong Zou;Qihong Zou;Hong Gu;Marcus E. Raichle

  • Synchronized delta oscillations correlate with the resting-state functional MRI signal

    Hanbing Lu;Yantao Zuo;Hong Gu;James A. Waltz

  • Mesocorticolimbic circuits are impaired in chronic cocaine users as demonstrated by resting-state functional connectivity.

    Hong Gu;Betty Jo Salmeron;Thomas J. Ross;Xiujuan Geng

  • The influence of carbon dioxide on brain activity and metabolism in conscious humans.

    Feng Xu;Jinsoo Uh;Matthew R. Brier;John Hart

  • Association of nicotine addiction and nicotine's actions with separate cingulate cortex functional circuits.

    L. Elliot Hong;Hong Gu;Yihong Yang;Thomas J. Ross

  • Large-Scale Brain Network Coupling Predicts Acute Nicotine Abstinence Effects on Craving and Cognitive Function

    Caryn Lerman;Hong Gu;James Loughead;Kosha Ruparel

  • 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

  • Impaired Functional Connectivity Within and Between Frontostriatal Circuits and Its Association With Compulsive Drug Use and Trait Impulsivity in Cocaine Addiction

    Yuzheng Hu;Betty Jo Salmeron;Hong Gu;Elliot A. Stein

  • Resting-State Glutamate and GABA Concentrations Predict Task-Induced Deactivation in the Default Mode Network

    Yuzheng Hu;Xi Chen;Hong Gu;Yihong Yang

  • Anterior insular cortex plays a critical role in interoceptive attention.

    Xingchao Wang;Qiong Wu;Qiong Wu;Laura Egan;Xiaosi Gu;Xiaosi Gu

  • Large-scale brain networks in the awake, truly resting marmoset monkey.

    Annabelle M. Belcher;Cecil C. Yen;Haley Stepp;Hong Gu

  • Frequency specificity of functional connectivity in brain networks.

    Changwei W. Wu;Hong Gu;Hanbing Lu;Elliot A. Stein

  • Interactions between the salience and default-mode networks are disrupted in cocaine addiction.

    Xia Liang;Yong He;Betty Jo Salmeron;Hong Gu

  • Transit time, trailing time, and cerebral blood flow during brain activation: Measurement using multislice, pulsed spin-labeling perfusion imaging

    Yihong Yang;Wolfgang Engelien;Su Xu;Hong Gu

  • Constituents and functional implications of the rat default mode network.

    Li Ming Hsu;Li Ming Hsu;Xia Liang;Hong Gu;Julia K. Brynildsen

  • Anatomical differences and network characteristics underlying smoking cue reactivity

    Xiaochu Zhang;Betty Jo Salmeron;Thomas J. Ross;Hong Gu

  • Implicit reference-based group-wise image registration and its application to structural and functional MRI

    Xiujuan Geng;Gary E. Christensen;Hong Gu;Thomas J. Ross

  • Cerebral perfusion alterations in type 2 diabetes and its relation to insulin resistance and cognitive dysfunction

    Ying Cui;Ying Cui;Xia Liang;Hong Gu;Yuzheng Hu

  • Simultaneous MRI acquisition of blood volume, blood flow, and blood oxygenation information during brain activation.

    Yihong Yang;Hong Gu;Elliot A. Stein

  • Compulsive drug use is associated with imbalance of orbitofrontal- and prelimbic-striatal circuits in punishment-resistant individuals.

    Yuzheng Hu;Yuzheng Hu;Betty Jo Salmeron;Irina N. Krasnova;Hong Gu

  • Simultaneous perfusion and BOLD imaging using reverse spiral scanning at 3T: Characterization of functional contrast and susceptibility artifacts

    Yihong Yang;Hong Gu;Wang Zhan;Su Xu

Frequent Co-Authors

Yihong Yang
Yihong Yang National Institute on Drug Abuse
Elliot A. Stein
Elliot A. Stein National Institute on Drug Abuse
Betty Jo Salmeron
Betty Jo Salmeron National Institute on Drug Abuse
Thomas J. Ross
Thomas J. Ross National Institute on Drug Abuse
Emily Stern
Emily Stern Brigham and Women's Hospital
David Silbersweig
David Silbersweig Brigham and Women's Hospital
Hanzhang Lu
Hanzhang Lu Johns Hopkins University School of Medicine
Xiaosi Gu
Xiaosi Gu Icahn School of Medicine at Mount Sinai
Ching-Po Lin
Ching-Po Lin National Yang Ming University
Jin Fan
Jin Fan City University of New York

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Exploring these online degree pathways can help you tailor your Neuroscience background to a range of professional opportunities in mental health, research, and human services.

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