World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
44
Citations
7867
World Ranking
7148
National Ranking
3094

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.

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: 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.

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.

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: 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.

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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