World's Best Scientists 2026 revealed!
Xiaoqi Huang

Xiaoqi Huang

D-Index & Metrics

Neuroscience

D-Index
64
Citations
14214
World Ranking
3282
National Ranking
42

Xiaoqi Huang 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 Xiaoqi Huang 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: 258 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Xiaoqi Huang 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 Xiaoqi Huang 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: 64 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Xiaoqi Huang is affiliated with Sichuan University in China and conducts research across multiple domains within neuroscience, medicine, and psychology. Their work has a particular focus on functional brain connectivity and mental health topics.

The main fields of study Xiaoqi Huang contributes to include:

  • Neuroscience
  • Medicine
  • Psychology

Within these disciplines, the scientist's research emphasizes several subfields such as:

  • Cognitive Neuroscience
  • Experimental and Cognitive Psychology
  • Radiology, Nuclear Medicine and Imaging
  • Clinical Psychology
  • Psychiatry and Mental Health

The core topics covered in their publications are represented by:

  • Functional Brain Connectivity Studies
  • Mental Health Research Topics
  • Advanced Neuroimaging Techniques and Applications
  • Neural dynamics and brain function
  • Obsessive-Compulsive Spectrum Disorders
  • Neural and Behavioral Psychology Studies
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Xiaoqi Huang has coauthored extensively with a number of researchers, including:

  • Qiyong Gong
  • Yingxue Gao
  • Lianqing Zhang
  • Hailong Li
  • Lingxiao Cao

Frequent publication venues for the scientist include:

  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Human Brain Mapping
  • Frontiers in Psychiatry
  • arXiv (Cornell University)
  • Journal of Affective Disorders

Among recent publications authored or coauthored by Xiaoqi Huang are:

  • Abnormal resting-state functional connectivity in patients with obsessive-compulsive disorder: A systematic review and meta-analysis, 2022, Neuroscience & Biobehavioral Reviews
  • Efficacy and tolerability of repetitive transcranial magnetic stimulation for the treatment of obsessive-compulsive disorder in adults: a systematic review and network meta-analysis, 2021, Translational Psychiatry
  • Large-scale network dysfunction in the acute state compared to the remitted state of bipolar disorder: A meta-analysis of resting-state functional connectivity, 2020, EBioMedicine
  • Alterations in large-scale functional networks in adult posttraumatic stress disorder: A systematic review and meta-analysis of resting-state functional connectivity studies, 2021, Neuroscience & Biobehavioral Reviews
  • Data-driven clustering differentiates subtypes of major depressive disorder with distinct brain connectivity and symptom features, 2021, The British Journal of Psychiatry

Best Publications

  • Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder.

    Junran Zhang;Jinhui Wang;Qizhu Wu;Weihong Kuang

  • Is depression a disconnection syndrome? Meta-analysis of diffusion tensor imaging studies in patients with MDD.

    Yi Liao;Xiaoqi Huang;Qizhu Wu;Chuang Yang

  • Short-term Effects of Antipsychotic Treatment on Cerebral Function in Drug-Naive First-Episode Schizophrenia Revealed by “Resting State” Functional Magnetic Resonance Imaging

    Su Lui;Tao Li;Tao Li;Wei Deng;Lijun Jiang

  • Resting-state functional connectivity in treatment-resistant depression.

    Su Lui;Qizhu Wu;Lihua Qiu;Xun Yang

  • Association of cerebral deficits with clinical symptoms in antipsychotic-naive first-episode schizophrenia: An optimized voxel-based morphometry and resting state functional connectivity study

    Su Lui;Wei Deng;Xiaoqi Huang;Lijun Jiang

  • Voxelwise meta-analysis of gray matter reduction in major depressive disorder

    Ming-Ying Du;Qi-Zhu Wu;Qiang Yue;Jun Li

  • Abnormal Regional Spontaneous Neural Activity in Treatment-Refractory Depression Revealed by Resting-State fMRI

    Qi-Zhu Wu;Dong-Ming Li;Wei-Hong Kuang;Ti-Jiang Zhang

  • Prognostic prediction of therapeutic response in depression using high-field MR imaging

    Qiyong Gong;Qizhu Wu;Cristina Scarpazza;Su Lui

  • Brain grey matter abnormalities in medication-free patients with major depressive disorder: a meta-analysis.

    Y.-J. Zhao;M.-Y. Du;X.-Q. Huang;S. Lui

  • Intrinsic cerebral activity at resting state in adults with major depressive disorder: A meta-analysis.

    Ming Zhou;Xinyu Hu;Lu Lu;Lianqing Zhang

  • Disorganization of white matter architecture in major depressive disorder: a meta-analysis of diffusion tensor imaging with tract-based spatial statistics.

    Guangxiang Chen;Xinyu Hu;Lei Li;Xiaoqi Huang

  • Early-Course Unmedicated Schizophrenia Patients Exhibit Elevated Prefrontal Connectivity Associated with Longitudinal Change

    Alan Anticevic;Xinyu Hu;Yuan Xiao;Junmei Hu

  • Regional increases of cortical thickness in untreated, first-episode major depressive disorder.

    L Qiu;S Lui;W Kuang;X Huang

  • Reduced functional connectivity in early-stage drug-naive Parkinson's disease: a resting-state fMRI study.

    ChunYan Luo;Wei Song;Qin Chen;ZhenZhen Zheng

  • High-Field Magnetic Resonance Imaging of Suicidality in Patients With Major Depressive Disorder

    Zhiyun Jia;Xiaoqi Huang;Qizhu Wu;Tijiang Zhang

  • High-field MRI reveals an acute impact on brain function in survivors of the magnitude 8.0 earthquake in China

    Su Lui;Xiaoqi Huang;Long Chen;Hehan Tang

  • Alterations of white matter integrity in adults with major depressive disorder: a magnetic resonance imaging study

    Ke Zou;Xiaoqi Huang;Tao Li;Qiyong Gong

  • Anatomical and functional brain abnormalities in drug-naive first-episode schizophrenia.

    Wenting Ren;Wenting Ren;Wenting Ren;Su Lui;Su Lui;Su Lui;Wei Deng;Wei Deng;Wei Deng;Fei Li;Fei Li;Fei Li

  • Localization of cerebral functional deficits in treatment-naive, first-episode schizophrenia using resting-state fMRI

    Xiao-Qi Huang;Su Lui;Wei Deng;Raymond C.K. Chan

  • Meta-analysis of cortical thickness abnormalities in medication-free patients with major depressive disorder.

    Qian Li;Youjin Zhao;Ziqi Chen;Jingyi Long

  • Abnormal small-world architecture of top–down control networks in obsessive–compulsive disorder

    Tijiang Zhang;Jinhui Wang;Yanchun Yang;Qizhu Wu

Frequent Co-Authors

Qiyong Gong
Qiyong Gong Sichuan University
Su Lui
Su Lui Sichuan University
John A. Sweeney
John A. Sweeney University of Cincinnati
Graham J. Kemp
Graham J. Kemp University of Liverpool
Dong Zhou
Dong Zhou Sichuan University
Lingjiang Li
Lingjiang Li Central South University
Raymond C.K. Chan
Raymond C.K. Chan Chinese Academy of Sciences
Keith M. Kendrick
Keith M. Kendrick University of Electronic Science and Technology of China
Yong He
Yong He Beijing Normal University
Hongzheng Chen
Hongzheng Chen Zhejiang University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Xiaoqi Huang

Trending Scientists

Recently Published Articles