World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
61
Citations
13824
World Ranking
3675
National Ranking
48

Social Sciences and Humanities

D-Index
62
Citations
14040
World Ranking
1274
National Ranking
21

Lingjiang Li publication distribution in Social Sciences and Humanities in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Social Sciences and Humanities in 2026. The highlighted bar marks where Lingjiang Li sits on this spectrum.

44–53 publications: 28 scientists 54–63 publications: 61 scientists 64–73 publications: 161 scientists 74–83 publications: 225 scientists 84–93 publications: 301 scientists 94–103 publications: 390 scientists 104–113 publications: 406 scientists 114–123 publications: 474 scientists 124–133 publications: 453 scientists 134–143 publications: 434 scientists 144–153 publications: 407 scientists 154–163 publications: 411 scientists 164–173 publications: 391 scientists 174–183 publications: 313 scientists 184–193 publications: 319 scientists 194–203 publications: 304 scientists 204–213 publications: 285 scientists 214–223 publications: 246 scientists 224–233 publications: 213 scientists 234–243 publications: 170 scientists 244–253 publications: 167 scientists 254–263 publications: 162 scientists 264–273 publications: 138 scientists 274–283 publications: 138 scientists 284–293 publications: 113 scientists 294–303 publications: 106 scientists 304–313 publications: 95 scientists 314–323 publications: 101 scientists 324–333 publications: 81 scientists 334–343 publications: 69 scientists 344–353 publications: 56 scientists 354–363 publications: 36 scientists 364–373 publications: 42 scientists 374–383 publications: 41 scientists 384–393 publications: 44 scientists 394–403 publications: 27 scientists 404–413 publications: 30 scientists 414–423 publications: 20 scientists 424–433 publications: 29 scientists 434–443 publications: 29 scientists 444–453 publications: 25 scientists 454–463 publications: 19 scientists 464–473 publications: 21 scientists 474–483 publications: 11 scientists 484–493 publications: 17 scientists 494–503 publications: 7 scientists 504–513 publications: 6 scientists 514–523 publications: 12 scientists 524–533 publications: 10 scientists 534–543 publications: 7 scientists 544–553 publications: 6 scientists 554–563 publications: 12 scientists 564–569 publications: 8 scientists 570+ publications: 100 scientists
44 publications 570+

This scientist: 308 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 570 publications or more.

Lingjiang Li D-index placement in Social Sciences and Humanities in 2026

The chart shows the D-index (discipline H-index) distribution of Social Sciences and Humanities scientists ranked by Research.com in 2026. The highlighted bar marks where Lingjiang Li sits on this spectrum.

30 D-Index: 177 scientists 31 D-Index: 210 scientists 32 D-Index: 222 scientists 33 D-Index: 188 scientists 34 D-Index: 181 scientists 35 D-Index: 243 scientists 36 D-Index: 261 scientists 37 D-Index: 272 scientists 38 D-Index: 278 scientists 39 D-Index: 300 scientists 40 D-Index: 297 scientists 41 D-Index: 308 scientists 42 D-Index: 313 scientists 43 D-Index: 300 scientists 44 D-Index: 269 scientists 45 D-Index: 260 scientists 46 D-Index: 228 scientists 47 D-Index: 251 scientists 48 D-Index: 203 scientists 49 D-Index: 186 scientists 50 D-Index: 187 scientists 51 D-Index: 166 scientists 52 D-Index: 138 scientists 53 D-Index: 141 scientists 54 D-Index: 131 scientists 55 D-Index: 137 scientists 56 D-Index: 109 scientists 57 D-Index: 129 scientists 58 D-Index: 95 scientists 59 D-Index: 105 scientists 60 D-Index: 106 scientists 61 D-Index: 86 scientists 62 D-Index: 94 scientists 63 D-Index: 77 scientists 64 D-Index: 79 scientists 65 D-Index: 59 scientists 66 D-Index: 68 scientists 67 D-Index: 51 scientists 68 D-Index: 49 scientists 69 D-Index: 40 scientists 70 D-Index: 43 scientists 71 D-Index: 40 scientists 72 D-Index: 50 scientists 73 D-Index: 46 scientists 74 D-Index: 43 scientists 75 D-Index: 45 scientists 76 D-Index: 45 scientists 77 D-Index: 30 scientists 78 D-Index: 25 scientists 79 D-Index: 31 scientists 80 D-Index: 29 scientists 81 D-Index: 18 scientists 82 D-Index: 21 scientists 83 D-Index: 26 scientists 84 D-Index: 15 scientists 85 D-Index: 15 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 12 scientists 89 D-Index: 7 scientists 90 D-Index: 19 scientists 91 D-Index: 20 scientists 92 D-Index: 13 scientists 93 D-Index: 9 scientists 94 D-Index: 13 scientists 95 D-Index: 8 scientists 96 D-Index: 7 scientists 97 D-Index: 6 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100+ D-Index: 97 scientists
30 D-Index 100+

This scientist: 62 D-Index — 84th percentile

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

The last bar groups every scientist with 100 D-Index or more.

Overview

Lingjiang Li is affiliated with Central South University in China and has established a research profile focusing on psychology, medicine, and neuroscience. Their work spans multiple subfields, including clinical psychology, cognitive neuroscience, experimental and cognitive psychology, psychiatry and mental health, and social psychology.

Their research addresses a range of topics primarily centered on functional brain connectivity studies and mental health. Key topics covered in their publications include:

  • Functional Brain Connectivity Studies
  • Mental Health Research Topics
  • Child and Adolescent Psychosocial and Emotional Development
  • Treatment of Major Depression
  • Mental Health Treatment and Access
  • Maternal Mental Health During Pregnancy and Postpartum
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Li has contributed to several papers recently, reflecting a focus on depression, anxiety, and COVID-19-related psychological effects. Notable publications include:

  • Prevalence of depressive disorders and treatment in China: a cross-sectional epidemiological study (2021), published in The Lancet Psychiatry
  • Connectome gradient dysfunction in major depression and its association with gene expression profiles and treatment outcomes (2022), published in Molecular Psychiatry
  • Psychological morbidities and fatigue in patients with confirmed COVID-19 during disease outbreak: prevalence and associated biopsychosocial risk factors (2020), published in bioRxiv (Cold Spring Harbor Laboratory)
  • Mapping Neurophysiological Subtypes of Major Depressive Disorder Using Normative Models of the Functional Connectome (2023), published in Biological Psychiatry
  • Functional Connectome Prediction of Anxiety Related to the COVID-19 Pandemic (2021), published in American Journal of Psychiatry

Their frequent co-authors include Bangshan Liu, Yumeng Ju, Jin Liu, Xiaowen Lu, and Qiangli Dong, with whom they have collaborated extensively on various research projects and publications.

Typical publication venues for Lingjiang Li are characterized by journals specializing in psychiatric and psychological research:

  • Journal of Affective Disorders
  • Frontiers in Psychiatry
  • BMC Psychiatry
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Psychiatry Research

This profile suggests a comprehensive engagement with studies on mental health disorders, brain connectivity, and related treatment approaches, contributing consistently to research outputs in both clinical and cognitive aspects of psychology and neuroscience.

Best Publications

  • Prevalence of mental disorders in China: a cross-sectional epidemiological study.

    Yueqin Huang;Yu Wang;Hong Wang;Zhaorui Liu

  • Prevalence of depressive disorders and treatment in China: a cross-sectional epidemiological study

    Jin Lu;Xiufeng Xu;Yueqin Huang;Tao Li

  • MicroRNA‐146a and Human Disease

    L. Li;X.-P. Chen;Y.-J. Li

  • Overlapping and segregated resting-state functional connectivity in patients with major depressive disorder with and without childhood neglect

    Lifeng Wang;Zhengjia Dai;Hongjun Peng;Liwen Tan

  • Connectome gradient dysfunction in major depression and its association with gene expression profiles and treatment outcomes

    Unknown

  • From Serotonin to Neuroplasticity: Evolvement of Theories for Major Depressive Disorder

    Bangshan Liu;Jin Liu;Mi Wang;Yan Zhang

  • White matter abnormalities in first-episode, treatment-naive young adults with major depressive disorder.

    Ning Ma;Lingjiang Li;Ni Shu;Jun Liu

  • Prenatal stress modifies hippocampal synaptic plasticity and spatial learning in young rat offspring

    Jianli Yang;Huili Han;Huili Han;Jun Cao;Jun Cao;Lingjiang Li

  • Gray matter density reduction in the insula in fire survivors with posttraumatic stress disorder: A voxel-based morphometric study

    Shulin Chen;Weiwei Xia;Lingjiang Li;Jun Liu

  • DICCCOL: Dense Individualized and Common Connectivity-Based Cortical Landmarks

    Dajiang Zhu;Kaiming Li;Kaiming Li;Lei Guo;Xi Jiang

  • Prefrontal white matter abnormalities in young adult with major depressive disorder: a diffusion tensor imaging study.

    Lingjiang Li;Ning Ma;Zexuan Li;Liwen Tan

  • Disrupted brain network topology in pediatric posttraumatic stress disorder: A resting-state fMRI study.

    Xueling Suo;Du Lei;Kaiming Li;Fuqin Chen

  • Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients.

    Xiang Li;Dajiang Zhu;Xi Jiang;Changfeng Jin

  • Disrupted Functional Brain Connectome in Patients with Posttraumatic Stress Disorder.

    Du Lei;Kaiming Li;Lingjiang Li;Fuqin Chen

  • Enriched environment treatment restores impaired hippocampal synaptic plasticity and cognitive deficits induced by prenatal chronic stress.

    Jianli Yang;Cailan Hou;Ning Ma;Jun Liu

  • Five novel loci associated with antipsychotic treatment response in patients with schizophrenia: a genome-wide association study.

    Hao Yu;Hao Yu;Hao Yan;Lifang Wang;Jun Li

  • CSF serotonin, 5-hydroxyindolacetic acid and neuropeptide Y levels in severe major depressive disorder.

    Cailan Hou;Fujun Jia;Yi Liu;Lingjiang Li

  • Dynamic brain connectivity is a better predictor of PTSD than static connectivity.

    Changfeng Jin;Hao Jia;Pradyumna Lanka;D Rangaprakash

  • Increased regional homogeneity in internet addiction disorder: a resting state functional magnetic resonance imaging study.

    Jun Liu;Xue-Ping Gao;Isoken Osunde;Xin Li

  • Abnormalities in whole-brain functional connectivity observed in treatment-naive post-traumatic stress disorder patients following an earthquake

    C. Jin;R. Qi;Y. Yin;X. Hu

  • Abnormal baseline brain activity in posttraumatic stress disorder: a resting-state functional magnetic resonance imaging study.

    Yan Yin;Lingjiang Li;Changfeng Jin;Xiaolei Hu

Frequent Co-Authors

Qiyong Gong
Qiyong Gong Sichuan University
Zhijun Zhang
Zhijun Zhang Southeast University
John A. Sweeney
John A. Sweeney University of Cincinnati
Tianming Liu
Tianming Liu University of Georgia
Kaiming Li
Kaiming Li Sichuan University
Guangming Lu
Guangming Lu Nanjing University
Xiaoqi Huang
Xiaoqi Huang Sichuan University
Yu-Qiang Ding
Yu-Qiang Ding Fudan University
Tianzi Jiang
Tianzi Jiang Chinese Academy of Sciences
Su Lui
Su Lui Sichuan University

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