World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
60
Citations
14491
World Ranking
3814
National Ranking
1742

L. Elliot Hong 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 L. Elliot Hong 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: 249 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

L. Elliot Hong 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 L. Elliot Hong 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: 60 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

L. Elliot Hong is a researcher affiliated with the University of Maryland, Baltimore in the United States. Their work spans multiple areas within neuroscience and medicine, with a focus on brain function and psychiatric disorders. The main fields of their scholarly output include Neuroscience and Medicine, supported by extensive publication records in subfields such as Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental Health, Biological Psychiatry, and Molecular Biology.

The scientist's research explores several core topics, notably Functional Brain Connectivity Studies and Advanced Neuroimaging Techniques and Applications. Other significant themes in their work include Tryptophan and brain disorders, Schizophrenia research and treatment, Neural dynamics and brain function, Stress Responses and Cortisol, and Advanced MRI Techniques and Applications.

The following are some of the recent papers authored or coauthored by L. Elliot Hong, indicating their engagement in neuroimaging and psychiatric research:

  • NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders, 2020, NeuroImage Clinical
  • Computational Modeling of Electroencephalography and Functional Magnetic Resonance Imaging Paradigms Indicates a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia, 2021, Biological Psychiatry
  • ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research, 2020, Human Brain Mapping
  • A roadmap for development of neuro-oscillations as translational biomarkers for treatment development in neuropsychopharmacology, 2020, Neuropsychopharmacology
  • The D-amino acid oxidase inhibitor luvadaxistat improves mismatch negativity in patients with schizophrenia in a randomized trial, 2023, Neuropsychopharmacology

L. Elliot Hong collaborates regularly with a group of researchers who contribute to their areas of study. Frequent co-authors include:

  • Peter Kochunov
  • Shuo Chen
  • Yunlong Tan
  • Mark D. Kvarta
  • Zhiren Wang

The scholar's publications appear regularly in several prominent venues with multiple contributions over time. These include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Schizophrenia Bulletin
  • Human Brain Mapping
  • Journal of Psychiatric Research
  • NeuroImage Clinical

The interdisciplinary character of L. Elliot Hong's research is underscored by their involvement in studies combining neuroimaging modalities such as EEG and MRI with computational models to better understand neuropsychiatric diseases, particularly schizophrenia.

Overall, the scientist's work reflects a consistent focus on elucidating brain connectivity and function using advanced imaging and computational techniques, contributing to the fields of psychiatry, cognitive neuroscience, and neuropharmacology.

Best Publications

  • The genetic architecture of the human cerebral cortex

    Katrina L. Grasby;Neda Jahanshad;Jodie N. Painter;Lucía Colodro-Conde

  • The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

    Paul M. Thompson;Jason L. Stein;Sarah E. Medland;Derrek P. Hibar

  • Widespread white matter microstructural differences in schizophrenia across 4322 individuals : results from the ENIGMA Schizophrenia DTI Working Group

    S. Kelly;S. Kelly;N. Jahanshad;A. Zalesky;P. Kochunov

  • Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group

    Neda Jahanshad;Peter V. Kochunov;Emma Sprooten;Emma Sprooten;René C. Mandl

  • NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders

    Yuhui Du;Yuhui Du;Zening Fu;Jing Sui;Jing Sui;Shuang Gao;Shuang Gao

  • Rapid Transformation from Auditory to Linguistic Representations of Continuous Speech.

    Christian Brodbeck;L. Elliot Hong;Jonathan Z. Simon

  • Association of nicotine addiction and nicotine's actions with separate cingulate cortex functional circuits.

    L. Elliot Hong;Hong Gu;Yihong Yang;Thomas J. Ross

  • Evoked gamma band synchronization and the liability for schizophrenia.

    L.Elliot Hong;Ann Summerfelt;Robert McMahon;Helene Adami

  • Gamma and Delta Neural Oscillations and Association with Clinical Symptoms under Subanesthetic Ketamine

    L Elliot Hong;Ann Summerfelt;Robert W Buchanan;Patricio O'Donnell

  • Neurodevelopmental and Neurodegenerative Models of Schizophrenia: White Matter at the Center Stage

    Kochunov P;Hong Le

  • High vs Low Frequency Neural Oscillations in Schizophrenia

    Lauren V. Moran;L. Elliot Hong

  • Intrinsic resting-state activity predicts working memory brain activation and behavioral performance.

    Qihong Zou;Qihong Zou;Qihong Zou;Thomas J. Ross;Hong Gu;Xiujuan Geng

  • Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders

    Yash Patel;Nadine Parker;Jean Shin;Derek Howard

  • Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data

    Peter Kochunov;Neda Jahanshad;Daniel Marcus;Anderson Winkler

  • FACTOR STRUCTURE OF THE BRIEF NEGATIVE SYMPTOM SCALE

    Gregory P. Strauss;L. Elliot Hong;James M. Gold;Robert W. Buchanan

  • Juvenile Antioxidant Treatment Prevents Adult Deficits in a Developmental Model of Schizophrenia

    Jan-Harry Cabungcal;Danielle S. Counotte;Eastman M. Lewis;Hugo A. Tejeda

  • Disruption of anterior insula modulation of large-scale brain networks in schizophrenia.

    Lauren V. Moran;Malle A. Tagamets;Hemalatha Sampath;Alan O’Donnell

  • Downregulated Kynurenine 3-Monooxygenase Gene Expression and Enzyme Activity in Schizophrenia and Genetic Association With Schizophrenia Endophenotypes

    Ikwunga Wonodi;O. Colin Stine;Korrapati V. Sathyasaikumar;Rosalinda C. Roberts

  • A genetically modulated, intrinsic cingulate circuit supports human nicotine addiction

    L. Elliot Hong;Colin A. Hodgkinson;Yihong Yang;Hemalatha Sampath

  • Elevated brain lactate in schizophrenia: a 7 T magnetic resonance spectroscopy study

    L M Rowland;S Pradhan;S Korenic;S A Wijtenburg

  • Sensory Gating Endophenotype Based on Its Neural Oscillatory Pattern and Heritability Estimate

    L. Elliot Hong;Ann Summerfelt;Braxton D. Mitchell;Robert P. McMahon

Frequent Co-Authors

Laura M. Rowland
Laura M. Rowland University of Maryland, Baltimore
Peter Kochunov
Peter Kochunov University of Maryland, Baltimore
Paul M. Thompson
Paul M. Thompson University of Southern California
Neda Jahanshad
Neda Jahanshad University of Southern California
Braxton D. Mitchell
Braxton D. Mitchell University of Maryland, Baltimore
David C. Glahn
David C. Glahn Boston Children's Hospital
Thomas E. Nichols
Thomas E. Nichols University of Oxford
John Blangero
John Blangero The University of Texas Rio Grande Valley
Patricio O'Donnell
Patricio O'Donnell Alto Neuroscience
Anderson M. Winkler
Anderson M. Winkler National Institutes of Health

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