World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
51
Citations
12220
World Ranking
5458
National Ranking
2428

Hao 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 Hao 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: 113 publications — 24th percentile

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

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

Hao 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 Hao 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: 51 D-Index — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Overview

Hao Huang is a researcher affiliated with the University of Pennsylvania in the United States, with a primary focus in the field of Medicine. Their scholarly contributions span several subfields, notably Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Pediatrics, Perinatology and Child Health, Epidemiology, and Computer Vision and Pattern Recognition.

Their research extensively covers topics such as Advanced Neuroimaging Techniques and Applications, Functional Brain Connectivity Studies, Advanced MRI Techniques and Applications, Neonatal and Fetal Brain Pathology, Fetal and Pediatric Neurological Disorders, Medical Image Segmentation Techniques, and Acute Ischemic Stroke Management.

Huang has published in several prominent journals and venues, including:

  • 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
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Radiology
  • eLife
  • Cerebral Cortex

Several recent publications by Huang highlight their research interests and contributions:

  • Deep Learning Measurement of Leg Length Discrepancy in Children Based on Radiographs, 2020, Radiology
  • Learning Deformable Image Registration From Optimization: Perspective, Modules, Bilevel Training and Beyond, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Diffusion-MRI-based regional cortical microstructure at birth for predicting neurodevelopmental outcomes of 2-year-olds, 2020, eLife
  • Cerebral Blood Flow of the Neonatal Brain after Hypoxic-Ischemic Injury, 2021, American Journal of Perinatology
  • Infant brain regional cerebral blood flow increases supporting emergence of the default-mode network, 2023, eLife

The researcher frequently collaborates with colleagues including Minhui Ouyang, Tianjia Zhu, J. Christopher Edgar, P. Ellen Grant, and John A. Detre. These coauthors indicate substantial collaborative networks within the field of medical imaging and neuroscience.

Huang's work often integrates advanced methodologies in neuroimaging and machine learning to address pediatric and neonatal neurological conditions as well as functional brain connectivity. Their interdisciplinary approach bridges medical imaging and clinical neuroscience, contributing to understanding developmental brain health and pathology.

Best Publications

  • Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template

    Susumu Mori;Susumu Mori;Kenichi Oishi;Hangyi Jiang;Li Jiang

  • Transcriptional landscape of the prenatal human brain

    Jeremy A. Miller;Song Lin Ding;Susan M. Sunkin;Kimberly A. Smith

  • Human brain white matter atlas: Identification and assignment of common anatomical structures in superficial white matter

    Kenichi Oishi;Karl Zilles;Katrin Amunts;Andreia Faria

  • White and gray matter development in human fetal, newborn and pediatric brains.

    Hao Huang;Jiangyang Zhang;Setsu Wakana;Setsu Wakana;Weihong Zhang;Weihong Zhang

  • DTI tractography based parcellation of white matter: Application to the mid-sagittal morphology of corpus callosum

    Hao Huang;Jiangyang Zhang;Hangyi Jiang;Hangyi Jiang;Setsu Wakana;Setsu Wakana

  • Anatomical Characterization of Human Fetal Brain Development with Diffusion Tensor Magnetic Resonance Imaging

    Hao Huang;Rong Xue;Jiangyang Zhang;Tianbo Ren

  • Inducible expression of mutant human DISC1 in mice is associated with brain and behavioral abnormalities reminiscent of schizophrenia.

    M V Pletnikov;Y Ayhan;O Nikolskaia;Y Xu

  • Maternal infection leads to abnormal gene regulation and brain atrophy in mouse offspring: implications for genesis of neurodevelopmental disorders.

    S. Hossein Fatemi;Teri J. Reutiman;Timothy D. Folsom;Hao Huang

  • Developmental Connectomics from Infancy through Early Childhood

    Miao Cao;Hao Huang;Yong He;Yong He

  • Delineation of early brain development from fetuses to infants with diffusion MRI and beyond.

    Minhui Ouyang;Jessica Dubois;Qinlin Yu;Pratik Mukherjee

  • Development of Human Brain Structural Networks Through Infancy and Childhood

    Hao Huang;Ni Shu;Virendra Mishra;Tina Jeon

  • Analysis of noise effects on DTI-based tractography using the brute-force and multi-ROI approach.

    Hao Huang;Jiangyang Zhang;Peter C.M. van Zijl;Susumu Mori

  • The ethics of experimenting with human brain tissue.

    Nita A. Farahany;Henry T. Greely;Steven Hyman;Christof Koch

  • Early Development of Functional Network Segregation Revealed by Connectomic Analysis of the Preterm Human Brain

    Miao Cao;Yong He;Zhengjia Dai;Xuhong Liao

  • White matter disruptions in adolescents exposed to childhood maltreatment and vulnerability to psychopathology

    Hao Huang;Tejasvi Gundapuneedi;Uma Rao

  • Development of axonal pathways in the human fetal fronto-limbic brain: histochemical characterization and diffusion tensor imaging

    Lana Vasung;Hao Huang;Nataša Jovanov-Milošević;Mihovil Pletikos

  • White matter integrity in physically fit older adults.

    Benjamin Y. Tseng;T. Gundapuneedi;M. A. Khan;Ramon Diaz-Arrastia

  • Three-dimensional anatomical characterization of the developing mouse brain by diffusion tensor microimaging.

    Jiangyang Zhang;Linda J Richards;Paul Yarowsky;Hao Huang

  • Imaging, anatomical, and molecular analysis of callosal formation in the developing human fetal brain

    Tianbo Ren;Aurora Anderson;Wei Bin Shen;Hao Huang

  • White Matter Changes in Healthy Adolescents at Familial Risk for Unipolar Depression: A Diffusion Tensor Imaging Study

    Hao Huang;Xin Fan;Douglas E. Williamson;Uma Rao

Frequent Co-Authors

Susumu Mori
Susumu Mori Johns Hopkins University School of Medicine
Peter C.M. van Zijl
Peter C.M. van Zijl Kennedy Krieger Institute
Hanzhang Lu
Hanzhang Lu Johns Hopkins University School of Medicine
Yong He
Yong He Beijing Normal University
Timothy P.L. Roberts
Timothy P.L. Roberts Children's Hospital of Philadelphia
John Hart
John Hart University of Illinois at Urbana-Champaign
Bart Rypma
Bart Rypma The University of Texas at Dallas
Xin Fan
Xin Fan Dalian University of Technology
Linda J. Richards
Linda J. Richards Washington University in St. Louis
Paul Yarowsky
Paul Yarowsky University of Maryland, Baltimore

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