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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 35 9220 8515 3893 3525 73 4425

Xuejun Hao publications per year

The chart shows the history of publications by Xuejun Hao between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xuejun Hao published across 25 years, from 2001 to 2025, averaging 3.6 papers a year. Output peaked at 8 publications in 2012. 12 of the 91 publications appeared in the last two years.

No. of publications
2 4 6 8
Bar chart. Horizontal axis: year, 2001 to 2025. Vertical axis: number of publications, 0 to 8. Peak 8 publications in 2012. 2001: 1 publication 2002: 0 publications 2003: 1 publication 2004: 3 publications 2005: 1 publication 2006: 3 publications 2007: 3 publications 2008: 2 publications 2009: 6 publications 2010: 5 publications 2011: 5 publications 2012: 8 publications 2013: 6 publications 2014: 6 publications 2015: 6 publications 2016: 3 publications 2017: 4 publications 2018: 2 publications 2019: 2 publications 2020: 2 publications 2021: 2 publications 2022: 5 publications 2023: 3 publications 2024: 4 publications 2025: 8 publications
2001 2025

91 publications in total across all disciplines

View publications per year as a table
Xuejun Hao: publications per year, 2001 to 2025
Year Publications
2001 1
2002 0
2003 1
2004 3
2005 1
2006 3
2007 3
2008 2
2009 6
2010 5
2011 5
2012 8
2013 6
2014 6
2015 6
2016 3
2017 4
2018 2
2019 2
2020 2
2021 2
2022 5
2023 3
2024 4
2025 8
Total 91
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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.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 68–77 publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 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.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323 73
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
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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.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 34–35 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296 35
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
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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

  • 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

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