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Xuejun Hao

D-Index & Metrics

Neuroscience

D-Index
35
Citations
4425
World Ranking
9220
National Ranking
3893

Xuejun Hao 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 Xuejun Hao 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: 73 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Xuejun Hao 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 Xuejun Hao 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: 35 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Xuejun Hao is a researcher affiliated with Columbia University in the United States. Their work spans multiple disciplines, primarily within the fields of Neuroscience and Medicine. Throughout their career, Hao has contributed significantly to studies focused on brain structure, function, and related pathologies.

Their research incorporates a variety of subfields including Cognitive Neuroscience, Psychiatry and Mental Health, Pediatrics, Perinatology and Child Health, Experimental and Cognitive Psychology, and Clinical Psychology. Hao's interdisciplinary approach connects these areas to advance understanding of brain development and mental health conditions.

Their published papers cover topics related to brain connectivity, mental health disorders, and prenatal influences on brain development. Some of their recent papers include:

  • "Prenatal exposure to air pollution is associated with altered brain structure, function, and metabolism in childhood" (2022, Journal of Child Psychology and Psychiatry)
  • "Associations of Maternal Prenatal Drug Abuse With Measures of Newborn Brain Structure, Tissue Organization, and Metabolite Concentrations" (2020, JAMA Pediatrics)
  • "Putamen Structure and Function in Familial Risk for Depression: A Multimodal Imaging Study" (2022, Biological Psychiatry)
  • "Altruism and 'love of neighbor' offer neuroanatomical protection against depression" (2021, Psychiatry Research Neuroimaging)
  • "Aberrant hippocampus and amygdala morphology associated with cognitive deficits in schizophrenia" (2023, Frontiers in Cellular Neuroscience)

Hao frequently collaborates with other researchers, including Bradley S. Peterson, Myrna M. Weissman, Ravi Bansal, Siddhant Sawardekar, and Ardesheer Talati. These collaborations are often reflected in co-authored publications, highlighting ongoing research partnerships.

The venues where Hao's research is published tend to be specialized collections and journals focused on neuroscience, psychology, and psychiatry. Notable publication venues include UNC Libraries, Drug and Alcohol Dependence, Biological Psychiatry, Journal of Child Psychology and Psychiatry, and Psychiatry Research Neuroimaging.

The topics that characterize Hao's work encompass a range of areas related to brain research and mental health, such as:

  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Cannabis and Cannabinoid Research
  • Tryptophan and Brain Disorders
  • Psychosomatic Disorders and Their Treatments
  • Neonatal and Fetal Brain Pathology
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes

This profile presents a factual overview of Xuejun Hao's academic research and collaborations, reflecting an active engagement in multidisciplinary studies within neuroscience and medicine.

Best Publications

  • Brain anomalies in children exposed prenatally to a common organophosphate pesticide.

    Virginia A. Rauh;Frederica P. Perera;Megan K. Horton;Robin M. Whyatt

  • Effects of Prenatal Exposure to Air Pollutants (Polycyclic Aromatic Hydrocarbons) on the Development of Brain White Matter, Cognition, and Behavior in Later Childhood

    Bradley S. Peterson;Bradley S. Peterson;Virginia A. Rauh;Ravi Bansal;Ravi Bansal;Xuejun Hao;Xuejun Hao

  • Cortical thinning in persons at increased familial risk for major depression

    Bradley S. Peterson;Virginia Warner;Ravi Bansal;Hongtu Zhu

  • Neuroanatomical correlates of religiosity and spirituality: a study in adults at high and low familial risk for depression.

    Lisa Miller;Ravi Bansal;Priya Wickramaratne;Priya Wickramaratne;Xuejun Hao

  • Morphological Abnormalities of the Thalamus in Youths With Attention Deficit Hyperactivity Disorder

    Iliyan Ivanov;Ravi Bansal;Xuejun Hao;Hongtu Zhu

  • MRI hippocampal and entorhinal cortex mapping in predicting conversion to Alzheimer's disease

    Davangere P. Devanand;Ravi Bansal;Jun Liu;Xuejun Hao

  • Anatomical Brain Images Alone Can Accurately Diagnose Chronic Neuropsychiatric Illnesses

    Ravi Bansal;Lawrence H. Staib;Andrew F. Laine;Xuejun Hao

  • Morphologic features of the amygdala and hippocampus in children and adults with Tourette syndrome

    Bradley S. Peterson;Hui Mahn A. Choi;Xuejun Hao;Jose A. Amat

  • Basal Ganglia Surface Morphology and the Effects of Stimulant Medications in Youth With Attention Deficit Hyperactivity Disorder

    Loren J. Sobel;Ravi Bansal;Tiago V. Maia;Juan Sanchez

  • Cerebellar morphology in Tourette syndrome and obsessive-compulsive disorder

    Russell H. Tobe;Ravi Bansal;Dongrong Xu;Xuejun Hao

  • Sex, Age, and Cognitive Correlates of Asymmetries in Thickness of the Cortical Mantle Across the Life Span

    Kerstin J. Plessen;Kerstin J. Plessen;Kenneth Hugdahl;Kenneth Hugdahl;Ravi Bansal;Ravi Bansal;Xuejun Hao;Xuejun Hao

  • An fMRI study of the brain responses of traumatized mothers to viewing their toddlers during separation and play

    Daniel S. Schechter;Dominik A. Moser;Zhishun Wang;Rachel Marsh

  • Cerebellar morphology and the effects of stimulant medications in youths with attention deficit-hyperactivity disorder.

    Iliyan Ivanov;James W Murrough;Ravi Bansal;Xuejun Hao

  • Enlargement of Thalamic Nuclei in Tourette Syndrome

    Ann M. Miller;Ravi Bansal;Xuejun Hao;Juan Pablo Sanchez-Pena

  • The ellipsoidal area ratio: an alternative anisotropy index for diffusion tensor imaging

    Dongrong Xu;Jiali Cui;Ravi Bansal;Xuejun Hao

  • A Statistical Analysis of Brain Morphology Using Wild Bootstrapping

    Hongtu Zhu;J.G. Ibrahim;Niansheng Tang;D.B. Rowe

  • Prenatal socioeconomic status and social support are associated with neonatal brain morphology, toddler language and psychiatric symptoms

    Marisa N. Spann;Ravi Bansal;Xuejun Hao;Tove S. Rosen

  • Multimodal magnetic resonance imaging: The coordinated use of multiple, mutually informative probes to understand brain structure and function

    Xuejun Hao;Dongrong Xu;Ravi Bansal;Zhengchao Dong

  • Putamen Structure and Function in Familial Risk for Depression: A Multimodal Imaging Study

    Unknown

  • Light Collages: Lighting Design for Effective Visualization

    Chang Ha Lee;Xuejun Hao;Amitabh Varshney

  • Neuroanatomical correlates of familial risk-for-depression and religiosity/spirituality.

    Jie Liu;Connie Svob;Priya Wickramaratne;Xuejun Hao

  • A virtual reality-based FMRI study of reward-based spatial learning.

    Rachel Marsh;Xuejun Hao;Dongrong Xu;Zhishun Wang

  • Discriminating risk and resilience endophenotypes from lifetime illness effects in familial major depressive disorder.

    Bradley S. Peterson;Zhishun Wang;Guillermo Horga;Virginia Warner

Frequent Co-Authors

Bradley S. Peterson
Bradley S. Peterson University of Southern California
Ravi Bansal
Ravi Bansal University of Southern California
Myrna M. Weissman
Myrna M. Weissman Columbia University
Virginia Warner
Virginia Warner Columbia University
Rachel Marsh
Rachel Marsh Columbia University
Priya Wickramaratne
Priya Wickramaratne Columbia University
Amitabh Varshney
Amitabh Varshney University of Maryland, College Park
Mark G. Packard
Mark G. Packard Texas A&M University
Diana Martinez
Diana Martinez Columbia University
Craig E. Tenke
Craig E. Tenke Columbia University

External Links

Personal website of Xuejun Hao

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Related Online Degrees & Career Pathways

Exploring online degrees related to Neuroscience in the USA can open doors to diverse career paths in healthcare, research, mental health, and education. Many students who pursue neuroscience also consider adjacent fields that offer flexible learning options and strong job markets.

For those interested in mental health professions, msw programs online provide comprehensive training in social work practice, advocacy, and counseling. Similarly, learners aiming to specialize in applied behavior analysis can benefit from bcba online programs, ideal for future Board Certified Behavior Analysts.

Students looking for an accelerated path can explore a 1 year online master's in social work, which fast-tracks entry into professional roles supporting mental health and community well-being. Another option is an accelerated psychology degree for those interested in understanding human behavior and cognition.

Each of these online degrees offers unique career opportunities aligned with neuroscience, allowing graduates to make an impact in clinical, academic, or research environments.

Best Scientists Citing Xuejun Hao

Bradley S. Peterson

Bradley S. Peterson

University of Southern California

Publications: 45

Myrna M. Weissman

Myrna M. Weissman

Columbia University

Publications: 33

M. Mallar Chakravarty

M. Mallar Chakravarty

McGill University

Publications: 21

Ravi Bansal

Ravi Bansal

University of Southern California

Publications: 21

Jan K. Buitelaar

Jan K. Buitelaar

Radboud University

Publications: 18

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 17

Rachel Marsh

Rachel Marsh

Columbia University

Publications: 16

Martin Styner

Martin Styner

University of North Carolina at Chapel Hill

Publications: 15

Barbara Franke

Barbara Franke

Radboud University

Publications: 15

Henning Tiemeier

Henning Tiemeier

Harvard University

Publications: 15

Ian H. Gotlib

Ian H. Gotlib

Stanford University

Publications: 14

Harold G. Koenig

Harold G. Koenig

Duke University

Publications: 14

Lars T. Westlye

Lars T. Westlye

University of Oslo

Publications: 13

Qiyong Gong

Qiyong Gong

Sichuan University

Publications: 13

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 13

Jordi Sunyer

Jordi Sunyer

Pompeu Fabra University

Publications: 13

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