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Xiao-Jing Wang

D-Index & Metrics

Neuroscience

D-Index
107
Citations
49966
World Ranking
601
National Ranking
341

Xiao-Jing Wang 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 Xiao-Jing Wang 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: 248 publications — 74th percentile

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

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

Xiao-Jing Wang 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 Xiao-Jing Wang 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: 107 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Overview

Xiao-Jing Wang is affiliated with New York University in the United States. Their research primarily spans the fields of Neuroscience and Medicine, with a strong focus on Cognitive Neuroscience, Surgery, Cellular and Molecular Neuroscience, Gastroenterology, and Molecular Biology.

The scientist's work covers a broad range of topics including:

  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Memory and Neural Mechanisms
  • Neuroscience and Neuropharmacology Research
  • Gastrointestinal motility and disorders
  • Neural Networks and Applications
  • EEG and Brain-Computer Interfaces

Xiao-Jing Wang has contributed to several notable recent papers, including:

  • "Artificial Neural Networks for Neuroscientists: A Primer" (2020), published in Neuron
  • "Gender bias in academia: A lifetime problem that needs solutions" (2021), published in Neuron
  • "Macroscopic gradients of synaptic excitation and inhibition in the neocortex" (2020), published in Nature Reviews Neuroscience
  • "Geometry of sequence working memory in macaque prefrontal cortex" (2022), published in Science
  • "Open access resource for cellular-resolution analyses of corticocortical connectivity in the marmoset monkey" (2020), published in Nature Communications

Frequent co-authors of Xiao-Jing Wang include Victor Chedid, Michael Camilleri, Seán Froudist-Walsh, Daniel B. Maselli, and Lucija Rapan.

The sites of frequent publication for Xiao-Jing Wang are:

  • The American Journal of Gastroenterology
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Gastroenterology
  • Neuron
  • Journal of Neuroscience

Best Publications

  • Mechanisms of Gamma Oscillations

    György Buzsáki;Xiao-Jing Wang

  • Neurophysiological and Computational Principles of Cortical Rhythms in Cognition

    Xiao Jing Wang

  • Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model

    Xiao Jing Wang;György Buzsáki

  • The importance of mixed selectivity in complex cognitive tasks

    Mattia Rigotti;Omri Barak;Omri Barak;Melissa R. Warden;Melissa R. Warden;Xiao Jing Wang;Xiao Jing Wang

  • Probabilistic decision making by slow reverberation in cortical circuits.

    Xiao Jing Wang

  • Synaptic Mechanisms and Network Dynamics Underlying Spatial Working Memory in a Cortical Network Model

    Albert Compte;Nicolas Brunel;Nicolas Brunel;Patricia S. Goldman-Rakic;Xiao Jing Wang

  • Synaptic reverberation underlying mnemonic persistent activity

    Xiao Jing Wang

  • A Recurrent Network Mechanism of Time Integration in Perceptual Decisions

    Kong Fatt Wong;Xiao Jing Wang

  • The role of default network deactivation in cognition and disease.

    Alan Anticevic;Michael W. Cole;John D. Murray;Philip R. Corlett

  • A hierarchy of intrinsic timescales across primate cortex

    John D. Murray;Alberto Bernacchia;David J. Freedman;Ranulfo Romo

  • What Determines the Frequency of Fast Network Oscillations With Irregular Neural Discharges? I. Synaptic Dynamics and Excitation-Inhibition Balance

    Nicolas Brunel;Xiao Jing Wang

  • Synaptic basis of cortical persistent activity: the importance of NMDA receptors to working memory.

    Xiao Jing Wang

  • Decision Making in Recurrent Neuronal Circuits

    Xiao Jing Wang

  • Erratum to: Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition

    Nicolas Brunel;Xiao-Jing Wang

  • Alternating and synchronous rhythms in reciprocally inhibitory model neurons

    Xiao-Jing Wang;John Rinzel

  • A Large-Scale Circuit Mechanism for Hierarchical Dynamical Processing in the Primate Cortex

    Rishidev Chaudhuri;Rishidev Chaudhuri;Kenneth Knoblauch;Kenneth Knoblauch;Marie Alice Gariel;Marie Alice Gariel;Henry Kennedy;Henry Kennedy

  • Theta oscillations in somata and dendrites of hippocampal pyramidal cells in vivo: Activity‐dependent phase‐precession of action potentials

    Anita Kamondi;László Acsády;László Acsády;Xiao Jing Wang;György Buzsáki

  • Cellular and network mechanisms of slow oscillatory activity (<1 Hz) and wave propagations in a cortical network model.

    Albert Compte;Maria V. Sanchez-Vives;David A. McCormick;Xiao Jing Wang

  • Effects of Neuromodulation in a Cortical Network Model of Object Working Memory Dominated by Recurrent Inhibition

    Unknown

  • Cortico-basal ganglia circuit mechanism for a decision threshold in reaction time tasks

    Chung Chuan Lo;Xiao Jing Wang

  • Interneuron Diversity series: Circuit complexity and axon wiring economy of cortical interneurons

    György Buzsáki;Caroline Geisler;Darrell A. Henze;Xiao Jing Wang

Frequent Co-Authors

John D. Murray
John D. Murray Yale University
Henry Kennedy
Henry Kennedy Inserm
John Rinzel
John Rinzel New York University
John H. Krystal
John H. Krystal Yale University
Alan Anticevic
Alan Anticevic Yale University
Stefano Fusi
Stefano Fusi Columbia University
György Buzsáki
György Buzsáki New York University
Mary L. Marazita
Mary L. Marazita University of Pittsburgh
Kenneth Knoblauch
Kenneth Knoblauch Claude Bernard University Lyon 1
Grega Repovs
Grega Repovs University of Ljubljana

External Links

Personal website of Xiao-Jing Wang Google Scholar page

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Best Scientists Citing Xiao-Jing Wang

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