World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
43
Citations
8139
World Ranking
7358
National Ranking
115

Jiaojian 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 Jiaojian 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: 109 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Jiaojian 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 Jiaojian 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: 43 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Jiaojian Wang is affiliated with the University of Electronic Science and Technology of China in China. Their research primarily spans the fields of Neuroscience and Medicine, with a significant focus on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology, Psychiatry and Mental Health, and Clinical Psychology.

Their work extensively explores several key topics, including Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Mental Health Research Topics, Neural Dynamics and Brain Function, Maternal Mental Health During Pregnancy and Postpartum, Treatment of Major Depression, and Electroconvulsive Therapy Studies.

Jiaojian Wang has published research in various well-known scientific journals. Some of the recent papers include:

  • Modulating Gamma Oscillations Promotes Brain Connectivity to Improve Cognitive Impairment (2021, Cerebral Cortex)
  • Multisite Autism Spectrum Disorder Classification Using Convolutional Neural Network Classifier and Individual Morphological Brain Networks (2021, Frontiers in Neuroscience)
  • Social Support Mediates the Influence of Cerebellum Functional Connectivity Strength on Postpartum Depression and Postpartum Depression with Anxiety (2022, Translational Psychiatry)
  • Enhanced Default Mode Network Functional Connectivity Links with Electroconvulsive Therapy Response in Major Depressive Disorder (2022, Journal of Affective Disorders)
  • Abnormal Large-Scale Resting-State Functional Networks in Drug-Free Major Depressive Disorder (2020, Brain Imaging and Behavior)

The frequent coauthors associated with Jiaojian Wang include Yanghua Tian, Bochao Cheng, Kexuan Chen, Yuanyuan Li, and Tianzi Jiang.

The primary venues where Wang's work has been published include:

  • Cerebral Cortex
  • Frontiers in Neuroscience
  • Human Brain Mapping
  • Progress in Neuro-Psychopharmacology and Biological Psychiatry
  • bioRxiv (Cold Spring Harbor Laboratory)

Their studies often intersect clinical and imaging domains, reflecting a multidisciplinary approach to the investigation of brain function and mental health conditions. The research on maternal mental health, specifically involving postpartum depression and anxiety, integrates social support mechanisms with functional brain connectivity measures.

Wang's contributions also address computational methods, as seen in research involving convolutional neural networks for autism spectrum disorder classification, demonstrating engagement with both theoretical and applied neuroimaging techniques.

Throughout their career, Wang has focused on the neural mechanisms underlying cognitive and psychiatric disorders, using advanced neuroimaging tools to map functional brain networks and assess treatment responses, particularly in major depressive disorder and electroconvulsive therapy contexts.

Best Publications

  • The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture

    Lingzhong Fan;Hai Li;Junjie Zhuo;Yu Zhang

  • Subregions of the human superior frontal gyrus and their connections

    Wei Li;Wen Qin;Huaigui Liu;Lingzhong Fan

  • Convergent functional architecture of the superior parietal lobule unraveled with multimodal neuroimaging approaches

    Jiaojian Wang;Yong Yang;Lingzhong Fan;Jinping Xu

  • Modeling Rett Syndrome Using TALEN-Edited MECP2 Mutant Cynomolgus Monkeys

    Yongchang Chen;Yongchang Chen;Juehua Yu;Yuyu Niu;Yuyu Niu;Dongdong Qin

  • Tractography-based Parcellation of the Human Middle Temporal Gyrus.

    Jinping Xu;Jinping Xu;Jiaojian Wang;Lingzhong Fan;Hai Li

  • Connectivity-Based Parcellation of the Human Temporal Pole Using Diffusion Tensor Imaging

    Lingzhong Fan;Jiaojian Wang;Yu Zhang;Wei Han

  • Modulating Gamma Oscillations Promotes Brain Connectivity to Improve Cognitive Impairment.

    Unknown

  • Correspondent functional topography of the human left inferior parietal lobule at rest and under task revealed using resting-state fMRI and coactivation based parcellation

    Jiaojian Wang;Sangma Xie;Xin Guo;Benjamin Becker

  • Connectivity-Based Parcellation of the Human Frontal Pole with Diffusion Tensor Imaging

    Huaigui Liu;Wen Qin;Wei Li;Lingzhong Fan

  • Tractography-based parcellation of the human left inferior parietal lobule.

    Jiaojian Wang;Lingzhong Fan;Yu Zhang;Yong Liu

  • Delineating functional segregations of the human middle temporal gyrus with resting‐state functional connectivity and coactivation patterns

    Jinping Xu;Hanqing Lyu;Tian Li;Ziyun Xu

  • Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder.

    Jiaojian Wang;Qiang Wei;Tongjian Bai;Xiaoqin Zhou

  • Functional organization of the fusiform gyrus revealed with connectivity profiles

    Wen Zhang;Wen Zhang;Jiaojian Wang;Lingzhong Fan;Yuanchao Zhang

  • Functional reorganization of intra- and internetwork connectivity in major depressive disorder after electroconvulsive therapy.

    Jiaojian Wang;Qiang Wei;Lijie Wang;Hongyu Zhang

  • The Neuroanatomical Basis for Posterior Superior Parietal Lobule Control Lateralization of Visuospatial Attention.

    Yan Wu;Jiaojian Wang;Yun Zhang;Dingchen Zheng

  • Social support mediates the influence of cerebellum functional connectivity strength on postpartum depression and postpartum depression with anxiety

    Unknown

  • Connectivity-Based Parcellation of the Human Posteromedial Cortex

    Yaqin Zhang;Lingzhong Fan;Yu Zhang;Jiaojian Wang

  • Enhanced default mode network functional connectivity links with electroconvulsive therapy response in major depressive disorder.

    Unknown

  • Changed Hub and Corresponding Functional Connectivity of Subgenual Anterior Cingulate Cortex in Major Depressive Disorder.

    Huawang Wu;Huawang Wu;Hui Sun;Jinping Xu;Yan Wu

  • Determination of the posterior boundary of Wernicke's area based on multimodal connectivity profiles.

    Jiaojian Wang;Lingzhong Fan;Yinyan Wang;Wenting Xu

  • Local functional connectivity density is closely associated with the response of electroconvulsive therapy in major depressive disorder.

    Jiaojian Wang;Qiang Wei;Xinru Yuan;Xiaoyan Jiang

  • Altered functional connectivity patterns of insular subregions in major depressive disorder after electroconvulsive therapy.

    Lijie Wang;Qiang Wei;Chao Wang;Jinping Xu

  • Disrupted functional connectivity patterns of the insula subregions in drug-free major depressive disorder

    Chao Wang;Huawang Wu;Fangfang Chen;Jinping Xu

Frequent Co-Authors

Tianzi Jiang
Tianzi Jiang Chinese Academy of Sciences
Chunshui Yu
Chunshui Yu Tianjin Medical University General Hospital
Simon B. Eickhoff
Simon B. Eickhoff Heinrich Heine University Düsseldorf
Peter T. Fox
Peter T. Fox The University of Texas Health Science Center at San Antonio
Benjamin Becker
Benjamin Becker University of Hong Kong
Keith M. Kendrick
Keith M. Kendrick University of Electronic Science and Technology of China
Gaolang Gong
Gaolang Gong Beijing Normal University
Yong Liu
Yong Liu Beijing University of Posts and Telecommunications
Chet C. Sherwood
Chet C. Sherwood George Washington University
Yonglan Luo
Yonglan Luo University of Electronic Science and Technology of China

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