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Young T. Hong

D-Index & Metrics

Neuroscience

D-Index
43
Citations
7302
World Ranking
7394
National Ranking
566

Young T. 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 Young T. 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: 135 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Young T. 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 Young T. 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: 43 D-Index — 24th percentile

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

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

Overview

Young T. Hong is affiliated with the University of Cambridge in the United Kingdom. Their research spans a range of topics within medicine and neuroscience, particularly focusing on neurodegenerative diseases and neuroinflammation.

Their work addresses main fields such as Medicine and Neuroscience, with extensive research in the following subfields:

  • Neurology
  • Physiology
  • Psychiatry and Mental health
  • Radiology, Nuclear Medicine and Imaging
  • Cellular and Molecular Neuroscience

Themes central to their research include:

  • Alzheimer's disease research and treatments
  • Dementia and Cognitive Impairment Research
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Parkinson's Disease Mechanisms and Treatments
  • Advanced Neuroimaging Techniques and Applications
  • Down syndrome and intellectual disability research
  • Epilepsy research and treatment

Frequent co-authors collaborating with Young T. Hong include:

  • Tim D. Fryer
  • Franklin I. Aigbirhio
  • John T. O'Brien
  • James B. Rowe
  • Maura Malpetti

Young T. Hong has contributed articles in various academic venues, with notable frequent publication sources as:

  • Alzheimer s & Dementia
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Brain
  • Neurobiology of Aging
  • Movement Disorders

Representative recent papers include:

  • "Microglial activation and tau burden predict cognitive decline in Alzheimer's disease," published in 2020 in Brain
  • "Microglial activation and blood-brain barrier permeability in cerebral small vessel disease," published in 2021 in Brain
  • "Neuroinflammation and protein aggregation co-localize across the frontotemporal dementia spectrum," published in 2020 in Brain
  • "Over-activation of primate subgenual cingulate cortex enhances the cardiovascular, behavioral and neural responses to threat," published in 2020 in Nature Communications
  • "Synaptic Loss in Primary Tauopathies Revealed by [ 11 C ] UCB-J Positron Emission Tomography," published in 2020 in Movement Disorders

Best Publications

  • Nucleus accumbens D2/3 receptors predict trait impulsivity and cocaine reinforcement.

    Jeffrey W. Dalley;Tim D. Fryer;Laurent Brichard;Emma S. J. Robinson

  • What the left and right anterior fusiform gyri tell us about semantic memory

    Marco Mion;Karalyn Patterson;Julio Acosta-Cabronero;George Pengas

  • Dopamine Release in Dissociable Striatal Subregions Predicts the Different Effects of Oral Methylphenidate on Reversal Learning and Spatial Working Memory

    Philip L Clatworthy;Simon J G Lewis;Laurent Brichard;Young T Hong

  • 18F-AV-1451 positron emission tomography in Alzheimer's disease and progressive supranuclear palsy.

    Luca Passamonti;Patricia Vázquez Rodríguez;Young T Hong;Kieren S J Allinson

  • The pattern of amyloid accumulation in the brains of adults with Down syndrome

    Tiina Annus;Liam R. Wilson;Young T. Hong;Julio Acosta–Cabronero

  • Microglial activation and tau burden predict cognitive decline in Alzheimer's disease.

    Maura Malpetti;Rogier A Kievit;Luca Passamonti;Luca Passamonti;P Simon Jones

  • Amyloid Imaging With Carbon 11–Labeled Pittsburgh Compound B for Traumatic Brain Injury

    Young T. Hong;Tonny Veenith;Deborah Dewar;Joanne G. Outtrim

  • Pathophysiologic Mechanisms of Cerebral Ischemia and Diffusion Hypoxia in Traumatic Brain Injury

    Tonny V. Veenith;Tonny V. Veenith;Eleanor L. Carter;Thomas Geeraerts;Julia Grossac

  • Microglial activation and blood-brain barrier permeability in cerebral small vessel disease.

    Jessica Walsh;Dan J Tozer;Hasan Sari;Young T Hong

  • A positron emission tomography study of nigro-striatal dopaminergic mechanisms underlying attention: implications for ADHD and its treatment

    Natalia del Campo;Tim D. Fryer;Young T. Hong;Rob Smith

  • Early microglial activation and peripheral inflammation in dementia with Lewy bodies.

    Ajenthan Surendranathan;Li Su;Li Su;Elijah Mak;Luca Passamonti

  • Brain-predicted age in Down syndrome is associated with beta amyloid deposition and cognitive decline.

    James H Cole;Tiina Annus;Liam R Wilson;Ridhaa Remtulla

  • Fractionating Blunted Reward Processing Characteristic of Anhedonia by Over-Activating Primate Subgenual Anterior Cingulate Cortex.

    Laith Alexander;Philip L.R. Gaskin;Stephen J. Sawiak;Tim D. Fryer

  • [11C]PK11195 binding in Alzheimer disease and progressive supranuclear palsy

    Luca Passamonti;Patricia Vázquez Rodríguez;Young T. Hong;Kieren S.J. Allinson

  • White Matter Perivascular Spaces on Magnetic Resonance Imaging Marker of Cerebrovascular Amyloid Burden

    Andreas Charidimou;Young T. Hong;Hans R. Jäger;Zoe Fox

  • Neuroimaging of Inflammation in Memory and Related Other Disorders (NIMROD) study protocol: a deep phenotyping cohort study of the role of brain inflammation in dementia, depression and other neurological illnesses

    W Richard Bevan-Jones;Ajenthan Surendranathan;Luca Passamonti;Patricia Vázquez Rodríguez

  • Neuroinflammation and protein aggregation co-localize across the frontotemporal dementia spectrum.

    W Richard Bevan-Jones;Thomas E Cope;Thomas E Cope;P Simon Jones;Sanne S Kaalund

  • [18F]AV-1451 binding in vivo mirrors the expected distribution of TDP-43 pathology in the semantic variant of primary progressive aphasia.

    W R Bevan-Jones;Thomas E Cope;P Simon Jones;Luca Passamonti

  • Over-activation of primate subgenual cingulate cortex enhances the cardiovascular, behavioral and neural responses to threat.

    Laith Alexander;Laith Alexander;Christian M. Wood;Philip L. R. Gaskin;Stephen J. Sawiak

  • Imaging of brain hypoxia in permanent and temporary middle cerebral artery occlusion in the rat using 18F-fluoromisonidazole and positron emission tomography: a pilot study.

    Masashi Takasawa;John S Beech;Tim D Fryer;Young T Hong

  • Using positron emission tomography and Carbon 11-labeled Pittsburgh Compound B to image Brain Fibrillar β-amyloid in adults with down syndrome: safety, acceptability, and feasibility.

    Jennifer Landt;J. Carlos D'Abrera;Anthony J. Holland;Franklin I. Aigbirhio

Frequent Co-Authors

Tim D. Fryer
Tim D. Fryer University of Cambridge
Franklin I. Aigbirhio
Franklin I. Aigbirhio University of Cambridge
James B. Rowe
James B. Rowe University of Cambridge
John T. O'Brien
John T. O'Brien University of Cambridge
Luca Passamonti
Luca Passamonti University of Cambridge
Jean-Claude Baron
Jean-Claude Baron Université Paris Cité
David K. Menon
David K. Menon University of Cambridge
Anthony J. Holland
Anthony J. Holland University of Cambridge
Peter J. Nestor
Peter J. Nestor University of Queensland
Guy B. Williams
Guy B. Williams University of Cambridge

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Best Scientists Citing Young T. Hong

Trevor W. Robbins

Trevor W. Robbins

University of Cambridge

Publications: 95

James B. Rowe

James B. Rowe

University of Cambridge

Publications: 82

John R. Hodges

John R. Hodges

University of Sydney

Publications: 52

Olivier Piguet

Olivier Piguet

University of Sydney

Publications: 50

Matthew A. Lambon Ralph

Matthew A. Lambon Ralph

University of Cambridge

Publications: 45

Jean-Claude Baron

Jean-Claude Baron

Université Paris Cité

Publications: 39

Roshan Cools

Roshan Cools

Radboud University

Publications: 38

Barry J. Everitt

Barry J. Everitt

University of Cambridge

Publications: 34

Muireann Irish

Muireann Irish

University of Sydney

Publications: 34

Paul F. Hoffman

Paul F. Hoffman

University of Edinburgh

Publications: 32

John T. O'Brien

John T. O'Brien

University of Cambridge

Publications: 31

David Belin

David Belin

University of Cambridge

Publications: 31

Henrik Zetterberg

Henrik Zetterberg

University of Gothenburg

Publications: 28

Karalyn Patterson

Karalyn Patterson

MRC Cognition and Brain Sciences Unit

Publications: 25

Hugh Garavan

Hugh Garavan

University of Vermont

Publications: 25

Gil D. Rabinovici

Gil D. Rabinovici

University of California, San Francisco

Publications: 24

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