World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
46
Citations
8793
World Ranking
6664
National Ranking
2894

Sheng Zhang 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 Sheng Zhang 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: 164 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Sheng Zhang 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 Sheng Zhang 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: 46 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Overview

Sheng Zhang is affiliated with Yale University in the United States. Their research primarily spans the fields of Neuroscience and Medicine, with 76 and 53 publications respectively, reflecting a substantial contribution to these disciplines.

Their work covers several subfields of study, including:

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Neurology
  • Cardiology and Cardiovascular Medicine
  • Physiology

Zhang's research topics include:

  • Functional Brain Connectivity Studies
  • Neural and Behavioral Psychology Studies
  • Neurotransmitter Receptor Influence on Behavior
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • EEG and Brain-Computer Interfaces
  • Face Recognition and Perception

Among their recent papers are:

  • Transplantation of A2 type astrocytes promotes neural repair and remyelination after spinal cord injury (2023, Cell Communication and Signaling)
  • CHIT1-positive microglia drive motor neuron ageing in the primate spinal cord (2023, Nature)
  • Activation of glucagon-like peptide-1 receptor in microglia attenuates neuroinflammation-induced glial scarring via rescuing Arf and Rho GAP adapter protein 3 expressions after nerve injury (2022, International Journal of Biological Sciences)
  • Sex differences in neural responses to reward and the influences of individual reward and punishment sensitivity (2021, BMC Neuroscience)
  • Neural responses to negative facial emotions: Sex differences in the correlates of individual anger and fear traits (2020, NeuroImage)

Frequent publication venues for Sheng Zhang include:

  • NeuroImage
  • Addiction Biology
  • The International Journal of Neuropsychopharmacology
  • Drug and Alcohol Dependence
  • Frontiers in Psychiatry

Zhang often collaborates with several researchers, including:

  • Chiang-Shan R. Li
  • Simon Zhornitsky
  • Thang M. Le
  • Wuyi Wang
  • Shefali Chaudhary

Best Publications

  • Functional connectivity mapping of the human precuneus by resting state fMRI.

    Sheng Zhang;Chiang-shan Ray Li

  • Global Resting-State Functional Magnetic Resonance Imaging Analysis Identifies Frontal Cortex, Striatal, and Cerebellar Dysconnectivity in Obsessive-Compulsive Disorder

    Alan Anticevic;Sien Hu;Sheng Zhang;Aleksandar Savic

  • Mega-Analysis of Gray Matter Volume in Substance Dependence: General and Substance-Specific Regional Effects

    Scott Mackey;Nicholas Allgaier;Bader Chaarani;Philip Spechler

  • The Right Superior Frontal Gyrus and Individual Variation in Proactive Control of Impulsive Response.

    Sien Hu;Sien Hu;Jaime S. Ide;Sheng Zhang;Chiang-shan R. Li

  • Multimodal Neuroimaging of Frontolimbic Structure and Function Associated With Suicide Attempts in Adolescents and Young Adults With Bipolar Disorder

    Jennifer A.Y. Johnston;Fei Wang;Jie Liu;Benjamin N. Blond

  • Resting-State Functional Connectivity of the Medial Superior Frontal Cortex

    Sheng Zhang;Jaime S. Ide;Chiang-shan R. Li

  • Functional networks for cognitive control in a stop signal task: Independent component analysis

    Sheng Zhang;Chiang-shan R. Li

  • Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets.

    Kwangsun Yoo;Monica D. Rosenberg;Wei-Ting Hsu;Sheng Zhang

  • Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies.

    Angus Ho Ching Fong;Kwangsun Yoo;Monica D. Rosenberg;Sheng Zhang

  • Gender differences in cognitive control: An extended investigation of the stop signal task

    Chiang shan Ray Li;Sheng Zhang;Jeng Ren Duann;Peisi Yan

  • Methylphenidate Modulates Functional Network Connectivity to Enhance Attention.

    Monica D Rosenberg;Sheng Zhang;Wei-Ting Hsu;Dustin Scheinost

  • Resting-State Functional Connectivity of the Locus Coeruleus in Humans: In Comparison with the Ventral Tegmental Area/Substantia Nigra Pars Compacta and the Effects of Age

    Sheng Zhang;Sien Hu;Herta H. Chao;Chiang-Shan R. Li

  • Saliency Processing and Obesity: A Preliminary Imaging Study of the Stop Signal Task

    Olivia M. Hendrick;Xi Luo;Sheng Zhang;Chiang-shan R. Li

  • Error processing and gender-shared and -specific neural predictors of relapse in cocaine dependence

    Xi Luo;Xi Luo;Sheng Zhang;Sien Hu;Sarah R. Bednarski

  • Functional clustering of the human inferior parietal lobule by whole-brain connectivity mapping of resting-state functional magnetic resonance imaging signals

    Sheng Zhang;Chiang-shan Ray Li

  • Changes in cerebral morphometry and amplitude of low- frequency fluctuations of BOLD signals during healthy aging: correlation with inhibitory control

    Sien Hu;Herta H.-A. Chao;Sheng Zhang;Jaime S. Ide

  • Error-specific medial cortical and subcortical activity during the stop signal task: A functional magnetic resonance imaging study

    C.-S.R. Li;P. Yan;H.H.-A. Chao;R. Sinha

  • Decreased saliency processing as a neural measure of Barratt impulsivity in healthy adults

    Olivia M. Farr;Sien Hu;Sheng Zhang;Chiang-shan Ray Li

  • Resting state functional connectivity of the basal nucleus of Meynert in humans: in comparison to the ventral striatum and the effects of age.

    Chiang-shan Ray Li;Jaime S. Ide;Sheng Zhang;Sien Hu

  • Ventromedial prefrontal cortex and the regulation of physiological arousal

    Sheng Zhang;Sien Hu;Herta H. Chao;Jaime S. Ide

Frequent Co-Authors

Chiang-shan R. Li
Chiang-shan R. Li Yale University
Rajita Sinha
Rajita Sinha Yale University
John H. Krystal
John H. Krystal Yale University
Vince D. Calhoun
Vince D. Calhoun Georgia State University
Robert T. Malison
Robert T. Malison Yale University
Hoi-Chung Leung
Hoi-Chung Leung Stony Brook University
Monica D. Rosenberg
Monica D. Rosenberg University of Chicago
Marvin M. Chun
Marvin M. Chun Yale University
Dustin Scheinost
Dustin Scheinost Yale University
Carolyn M. Mazure
Carolyn M. Mazure Yale University

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