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Gang Chen

D-Index & Metrics

Neuroscience

D-Index
57
Citations
14210
World Ranking
4303
National Ranking
1947

Gang Chen 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 Gang Chen 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: 140 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Gang Chen 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 Gang Chen 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: 57 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Gang Chen is affiliated with the National Institutes of Health in the United States and conducts research primarily in the fields of Neuroscience and Medicine. Their work is concentrated on Cognitive Neuroscience, with additional involvement in Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology, Statistics and Probability, and Neurology.

The research topics covered by Gang Chen include:

  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Neural and Behavioral Psychology Studies
  • Advanced Neuroimaging Techniques and Applications
  • Face Recognition and Perception
  • Advanced MRI Techniques and Applications
  • Visual perception and processing mechanisms

Gang Chen has published several papers, with notable works appearing in the journal NeuroImage. Recent publications include:

  • "Highlight results, don't hide them: Enhance interpretation, reduce biases and improve reproducibility" (2023, NeuroImage)
  • "Hyperbolic trade-off: The importance of balancing trial and subject sample sizes in neuroimaging" (2021, NeuroImage)
  • "Interactions between emotion and action in the brain" (2020, NeuroImage)
  • "ICA-based denoising strategies in breath-hold induced cerebrovascular reactivity mapping with multi echo BOLD fMRI" (2021, NeuroImage)
  • "To pool or not to pool: Can we ignore cross-trial variability in FMRI?" (2020, NeuroImage)

The most frequent publication venues for Gang Chen's research are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Human Brain Mapping
  • Aperture Neuro
  • Scientific Reports

Frequent collaborators include:

  • Paul A. Taylor
  • Peter A. Bandettini
  • Robert W. Cox
  • Richard C. Reynolds
  • Daniel A. Handwerker

Best Publications

  • Trouble at Rest: How Correlation Patterns and Group Differences Become Distorted After Global Signal Regression

    Ziad S. Saad;Stephen J. Gotts;Kevin Murphy;Gang Chen

  • Amygdala and Ventrolateral Prefrontal Cortex Activation to Masked Angry Faces in Children and Adolescents with Generalized Anxiety Disorder

    Christopher S. Monk;Eva H. Telzer;Karin Mogg;Brendan P. Bradley

  • FMRI Clustering in AFNI: False Positive Rates Redux

    Robert W. Cox;Gang Chen;Daniel R. Glen;Richard C. Reynolds

  • Ventrolateral Prefrontal Cortex Activation and Attentional Bias in Response to Angry Faces in Adolescents With Generalized Anxiety Disorder

    Christopher S Monk;Eric E Nelson;Erin B McClure;Karin Mogg

  • A New Method for Improving Functional-to-Structural MRI Alignment using Local Pearson Correlation

    Ziad S. Saad;Daniel R. Glen;Gang Chen;Michael S. Beauchamp

  • Amygdala and ventrolateral prefrontal cortex function during anticipated peer evaluation in pediatric social anxiety

    Amanda E. Guyer;Jennifer Y. F. Lau;Erin B. McClure-Tone;Jessica Parrish

  • Linear mixed-effects modeling approach to FMRI group analysis

    Gang Chen;Ziad S. Saad;Jennifer C. Britton;Daniel S. Pine

  • Abnormal ventromedial prefrontal cortex function in children with psychopathic traits during reversal learning.

    Elizabeth C. Finger;Abigail A. Marsh;Derek G. Mitchell;Marguerite E. Reid

  • Contextual Fear Conditioning in Humans: Cortical-Hippocampal and Amygdala Contributions

    Ruben P. Alvarez;Arter Biggs;Gang Chen;Daniel S. Pine

  • High-Resolution CBV-fMRI Allows Mapping of Laminar Activity and Connectivity of Cortical Input and Output in Human M1

    Laurentius Huber;Daniel A. Handwerker;David C. Jangraw;Gang Chen

  • Investigating neural primacy in Major Depressive Disorder: multivariate Granger causality analysis of resting-state fMRI time-series data.

    J P Hamilton;G Chen;M E Thomason;M E Schwartz

  • Phasic and sustained fear in humans elicits distinct patterns of brain activity.

    Ruben P. Alvarez;Gang Chen;Jerzy Bodurka;Jerzy Bodurka;Raphael Kaplan

  • Adolescents, adults and rewards: comparing motivational neurocircuitry recruitment using fMRI.

    James M. Bjork;Ashley R. Smith;Gang Chen;Daniel W. Hommer

  • Evidence of biologic epistasis between BDNF and SLC6A4 and implications for depression.

    L Pezawas;A Meyer-Lindenberg;A L Goldman;B A Verchinski

  • Applications of multivariate modeling to neuroimaging group analysis: a comprehensive alternative to univariate general linear model.

    Gang Chen;Nancy E. Adleman;Ziad S. Saad;Ellen Leibenluft

  • PKC, MAP kinases and the bcl-2 family of proteins as long-term targets for mood stabilizers.

    H K Manji;G Chen

  • fMRI clustering and false-positive rates

    Robert W. Cox;Gang Chen;Daniel R. Glen;Richard C. Reynolds

  • Correcting brain-wide correlation differences in resting-state FMRI.

    Ziad S. Saad;Richard C. Reynolds;Hang Joon Jo;Stephen J. Gotts

  • Neural response to self- and other referential praise and criticism in generalized social phobia.

    Karina Blair;Marilla Geraci;Jeffrey Devido;Daniel McCaffrey

  • Response to learned threat: An FMRI study in adolescent and adult anxiety.

    Jennifer C. Britton;Christian Grillon;Shmuel Lissek;Maxine A. Norcross

  • Evidence for the involvement of the kainate receptor subunit GluR6 (GRIK2) in mediating behavioral displays related to behavioral symptoms of mania

    G. Shaltiel;S. Maeng;O. Malkesman;B. Pearson

Frequent Co-Authors

Shi-Jiang Li
Shi-Jiang Li Medical College of Wisconsin
Robert W. Cox
Robert W. Cox National Institutes of Health
Chunming Xie
Chunming Xie Southeast University
Piero Antuono
Piero Antuono Medical College of Wisconsin
Daniel S. Pine
Daniel S. Pine National Institutes of Health
Ellen Leibenluft
Ellen Leibenluft National Institutes of Health
Ziad S. Saad
Ziad S. Saad National Institutes of Health
Peter A. Bandettini
Peter A. Bandettini National Institutes of Health
Zhijun Zhang
Zhijun Zhang Southeast University
Melissa A. Brotman
Melissa A. Brotman National Institutes of Health

External Links

Personal website of Gang Chen

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Best Scientists Citing Gang Chen

Daniel S. Pine

Daniel S. Pine

National Institutes of Health

Publications: 182

Ellen Leibenluft

Ellen Leibenluft

National Institutes of Health

Publications: 81

Monique Ernst

Monique Ernst

National Institutes of Health

Publications: 69

Martin P. Paulus

Martin P. Paulus

Laureate Institute for Brain Research

Publications: 53

Zhijun Zhang

Zhijun Zhang

Southeast University

Publications: 51

Michael P. Milham

Michael P. Milham

Child Mind Institute

Publications: 51

Nathan A. Fox

Nathan A. Fox

University of Maryland, College Park

Publications: 49

Amanda E. Guyer

Amanda E. Guyer

University of California, Davis

Publications: 46

K. Luan Phan

K. Luan Phan

The Ohio State University

Publications: 45

Jerzy Bodurka

Jerzy Bodurka

MIT

Publications: 43

Alan N. Simmons

Alan N. Simmons

University of California, San Diego

Publications: 43

Georg Northoff

Georg Northoff

University of Ottawa

Publications: 41

Peter A. Bandettini

Peter A. Bandettini

National Institutes of Health

Publications: 40

Melissa A. Brotman

Melissa A. Brotman

National Institutes of Health

Publications: 40

Christopher S. Monk

Christopher S. Monk

University of Michigan–Ann Arbor

Publications: 40

Christian Grillon

Christian Grillon

National Institutes of Health

Publications: 39

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