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Chiang-shan R. Li

Chiang-shan R. Li

Yale University
United States

D-Index & Metrics

Neuroscience

D-Index
70
Citations
20516
World Ranking
2491
National Ranking
1183

Chiang-shan R. Li 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 Chiang-shan R. Li 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: 312 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Chiang-shan R. Li 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 Chiang-shan R. Li 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: 70 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Chiang-shan R. Li is affiliated with Yale University in the United States and has contributed extensively to the fields of neuroscience, medicine, and psychology. Their research primarily focuses on cognitive neuroscience, experimental and cognitive psychology, cellular and molecular neuroscience, psychiatry and mental health, and neurology.

The core topics addressed in their work include functional brain connectivity studies, neural and behavioral psychology studies, neurotransmitter receptor influence on behavior, mental health research topics, tryptophan and brain disorders, stress responses and cortisol, as well as substance abuse treatment and outcomes.

Chiang-shan R. Li has published numerous scientific papers across several venues, with frequent publications appearing in bioRxiv (Cold Spring Harbor Laboratory), Journal of Psychiatric Research, Translational Psychiatry, Addiction Biology, and NeuroImage. Notable recent papers include:

  • Sex differences in the neuroanatomy of alcohol dependence: hippocampus and amygdala subregions in a sample of 966 people from the ENIGMA Addiction Working Group, 2021, Translational Psychiatry
  • Gray matter volumetric correlates of behavioral activation and inhibition system traits in children: An exploratory voxel-based morphometry study of the ABCD project data, 2020, NeuroImage
  • A sensorimotor control framework for understanding emotional communication and regulation, 2020, Neuroscience & Biobehavioral Reviews
  • Sex differences in neural responses to reward and the influences of individual reward and punishment sensitivity, 2021, BMC Neuroscience
  • The thalamus and its subnuclei-a gateway to obsessive-compulsive disorder, 2022, Translational Psychiatry

The scientist frequently collaborates with colleagues such as Yunlong Tan, Zhiren Wang, Xingguang Luο, Thang M. Le, and Baopeng Tian, each contributing to multiple joint publications.

Best Publications

  • A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task

    Frederick Verbruggen;Adam R. Aron;Guido Ph Band;Christian Beste

  • The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

    Paul M. Thompson;Jason L. Stein;Sarah E. Medland;Derrek P. Hibar

  • Imaging Response Inhibition in a Stop-Signal Task: Neural Correlates Independent of Signal Monitoring and Post-Response Processing

    Chiang Shan Ray Li;Cong Huang;R. Todd Constable;Rajita Sinha

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

    Sheng Zhang;Chiang-shan Ray Li

  • Imaging stress- and cue-induced drug and alcohol craving: association with relapse and clinical implications.

    Rajita Sinha;C.-S. R. Li

  • Functional Connectivity Delineates Distinct Roles of the Inferior Frontal Cortex and Presupplementary Motor Area in Stop Signal Inhibition

    Jeng Ren Duann;Jaime S. Ide;Xi Luo;Chiang Shan Ray Li

  • Neuronal correlates of motor performance and motor learning in the primary motor cortex of monkeys adapting to an external force field.

    Chiang-Shan Ray Li;Camillo Padoa-Schioppa;Emilio Bizzi

  • Dissociable Roles of Right Inferior Frontal Cortex and Anterior Insula in Inhibitory Control: Evidence from Intrinsic and Task-Related Functional Parcellation, Connectivity, and Response Profile Analyses across Multiple Datasets

    Weidong Cai;Srikanth Ryali;Tianwen Chen;Chiang-Shan R. Li

  • Inhibitory control and emotional stress regulation: neuroimaging evidence for frontal-limbic dysfunction in psycho-stimulant addiction.

    Chiang-shan Ray Li;Rajita Sinha

  • Subcortical processes of motor response inhibition during a stop signal task.

    Chiang-Shan Ray Li;Peisi Yan;Rajita Sinha;Tien-Wen Lee

  • 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

  • Altered impulse control in alcohol dependence: neural measures of stop signal performance.

    Chiang-Shan Ray Li;Xianghua Luo;Peisi Yan;Keri Bergquist

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

    Scott Mackey;Nicholas Allgaier;Bader Chaarani;Philip Spechler

  • Greater Activation of the “Default” Brain Regions Predicts Stop Signal Errors

    Chiang-shan Ray Li;Peisi Yan;Keri L. Bergquist;Rajita Sinha

  • Gender differences in the neural correlates of response inhibition during a stop signal task.

    Chiang-shan Ray Li;Cong Huang;R. Todd Constable;Rajita Sinha

  • 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

  • Causal Interactions Within a Frontal-Cingulate-Parietal Network During Cognitive Control: Convergent Evidence from a Multisite–Multitask Investigation

    Weidong Cai;Tianwen Chen;Srikanth Ryali;John Kochalka

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

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

  • Bayesian Prediction and Evaluation in the Anterior Cingulate Cortex

    Jaime S. Ide;Pradeep Shenoy;Angela J. Yu;Chiang-shan R. Li

  • Central nervous system regulation of eating: Insights from human brain imaging

    Olivia M. Farr;Chiang-shan R. Li;Christos S. Mantzoros

  • Performance monitoring and stop signal inhibition in abstinent patients with cocaine dependence

    Chiang-shan Ray Li;Verica Milivojevic;Kathleen Kemp;Kwangik Hong

  • Neural correlates of post-error slowing during a stop signal task: A functional magnetic resonance imaging study

    Chiang-shan Ray Li;Cong Huang;Peisi Yan;Prashni Paliwal

  • Effect of reversible inactivation of macaque lateral intraparietal area on visual and memory saccades.

    Chiang-Shan Ray Li;Pietro Mazzoni;Richard A. Andersen

  • Neural Correlates of Impulse Control During Stop Signal Inhibition in Cocaine-Dependent Men

    Chiang-shan Ray Li;Cong Huang;Peisi Yan;Zubin Bhagwagar

Frequent Co-Authors

Sheng Zhang
Sheng Zhang Yale University
Rajita Sinha
Rajita Sinha Yale University
John H. Krystal
John H. Krystal Yale University
Xiang Yang Zhang
Xiang Yang Zhang Chinese Academy of Sciences
Valentina Lorenzetti
Valentina Lorenzetti Australian Catholic University
Robert T. Malison
Robert T. Malison Yale University
Martin P. Paulus
Martin P. Paulus Laureate Institute for Brain Research
Jintao Zhang
Jintao Zhang Shandong University
Hugh Garavan
Hugh Garavan University of Vermont
Edythe D. London
Edythe D. London University of California, Los Angeles

External Links

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Best Scientists Citing Chiang-shan R. Li

Marc N. Potenza

Marc N. Potenza

Yale University

Publications: 61

Hugh Garavan

Hugh Garavan

University of Vermont

Publications: 61

Rajita Sinha

Rajita Sinha

Yale University

Publications: 56

Nora D. Volkow

Nora D. Volkow

National Institutes of Health

Publications: 55

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 46

Trevor W. Robbins

Trevor W. Robbins

University of Cambridge

Publications: 42

Martin P. Paulus

Martin P. Paulus

Laureate Institute for Brain Research

Publications: 39

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 33

Adam R. Aron

Adam R. Aron

University of California, San Diego

Publications: 33

John H. Krystal

John H. Krystal

Yale University

Publications: 32

Dick J. Veltman

Dick J. Veltman

Amsterdam UMC

Publications: 31

Dieter J. Meyerhoff

Dieter J. Meyerhoff

University of California, San Francisco

Publications: 30

Dardo Tomasi

Dardo Tomasi

National Institutes of Health

Publications: 29

Jan R. Wessel

Jan R. Wessel

University of Iowa

Publications: 29

Monica D. Rosenberg

Monica D. Rosenberg

University of Chicago

Publications: 28

Katya Rubia

Katya Rubia

King's College London

Publications: 28

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