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D-Index & Metrics

Neuroscience

D-Index
60
Citations
15253
World Ranking
3798
National Ranking
337

Cynthia H.Y. Fu 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 Cynthia H.Y. Fu 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: 153 publications — 44th percentile

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

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

Cynthia H.Y. Fu 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 Cynthia H.Y. Fu 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

Cynthia H.Y. Fu is affiliated with the University of East London in the United Kingdom. Their research primarily spans the fields of neuroscience and medicine, contributing significantly to subfields such as cognitive neuroscience, neurology, psychiatry and mental health, experimental and cognitive psychology, and pharmacology.

The scope of Cynthia H.Y. Fu's work covers multiple topics related to brain function and mental health. Key research areas include functional brain connectivity studies, transcranial magnetic stimulation studies, treatment of major depression, electroconvulsive therapy studies, mental health research topics, attention deficit hyperactivity disorder, and EEG and brain-computer interfaces.

Frequent publication venues for Cynthia's work include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biological Psychiatry
  • arXiv (Cornell University)
  • Molecular Psychiatry
  • JAMA Psychiatry

Among recent papers authored or co-authored by Cynthia H.Y. Fu are:

  • "Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group," 2020, Molecular Psychiatry
  • "Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders," 2020, JAMA Psychiatry
  • "ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing," 2020, Translational Psychiatry
  • "Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression," 2022, JAMA Psychiatry
  • "The neuroscience of sadness: A multidisciplinary synthesis and collaborative review," 2020, Neuroscience & Biobehavioral Reviews

Cynthia collaborates frequently with a number of researchers, including:

  • Allan H. Young
  • Rachel D. Woodham
  • Ali-Reza Ghazi-Noori
  • Ian H. Gotlib
  • Matthew D. Sacchet

Best Publications

  • Predictors of amygdala activation during the processing of emotional stimuli: A meta-analysis of 385 PET and fMRI studies.

    Sergi G. Costafreda;Michael J. Brammer;Anthony S. David;Cynthia H.Y. Fu

  • Attenuation of the neural response to sad faces in major depression by antidepressant treatment: a prospective, event-related functional magnetic resonance imaging study.

    Cynthia H. Y. Fu;Steven C. R. Williams;Anthony J. Cleare;Michael J. Brammer

  • A systematic review and quantitative appraisal of fMRI studies of verbal fluency: Role of the left inferior frontal gyrus

    Sergi G. Costafreda;Cynthia H.Y. Fu;Lucy Lee;Brian Everitt

  • A functional MRI study of happy and sad affective states induced by classical music

    Martina T. Mitterschiffthaler;Cynthia H.Y. Fu;Jeffrey A. Dalton;Christopher M. Andrew

  • Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: evidence from voxel-based meta-analysis

    T Wise;J Radua;J Radua;E Via;N Cardoner

  • A systematic review of the neurophysiology of mindfulness on EEG oscillations.

    Tim Lomas;Itai Ivtzan;Cynthia H.Y. Fu

  • Predictive neural biomarkers of clinical response in depression: A meta-analysis of functional and structural neuroimaging studies of pharmacological and psychological therapies

    Cynthia H.Y. Fu;Herbert Steiner;Sergi G. Costafreda

  • Brain imaging correlates of depressive symptom severity and predictors of symptom improvement after antidepressant treatment

    Chi-Hua Chen;Khanum Ridler;Khanum Ridler;John Suckling;Steve Williams

  • Neural Responses to Sad Facial Expressions in Major Depression Following Cognitive Behavioral Therapy

    Cynthia H.Y. Fu;Steven C.R. Williams;Anthony J. Cleare;Jan Scott;Jan Scott

  • Comparative efficacy and acceptability of non-surgical brain stimulation for the acute treatment of major depressive episodes in adults: systematic review and network meta-analysis

    Julian Mutz;Vijeinika Vipulananthan;Benjamin Richard Carter;René Hurlemann

  • Pattern Classification of Sad Facial Processing : Toward the Development of Neurobiological Markers in Depression

    Cynthia H.Y. Fu;Janaina Mourao-Miranda;Sergi G. Costafreda;Akash Khanna

  • Hippocampal atrophy in first episode depression: a meta-analysis of magnetic resonance imaging studies.

    James Cole;Sergi G. Costafreda;Peter McGuffin;Cynthia H.Y. Fu

  • Efficacy and acceptability of non-invasive brain stimulation for the treatment of adult unipolar and bipolar depression: A systematic review and meta-analysis of randomised sham-controlled trials

    Julian Mutz;Julian Mutz;Daniel R. Edgcumbe;Andre R. Brunoni;Cynthia H.Y. Fu

  • Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

    Laura K.M. Han;Richard Dinga;Richard Dinga;Tim Hahn;Christopher R.K. Ching

  • Neural Responses to Happy Facial Expressions in Major Depression Following Antidepressant Treatment

    Cynthia H Y Fu;Steve C R Williams;Michael J Brammer;John Suckling

  • Prognostic and Diagnostic Potential of the Structural Neuroanatomy of Depression

    Sergi G. Costafreda;Carlton Chu;John Ashburner;Cynthia H. Y. Fu

  • Neural basis of the emotional Stroop interference effect in major depression.

    M. T. Mitterschiffthaler;S. C. R. Williams;N. D. Walsh;A. J. Cleare

  • Effects of Verbal Working Memory Load on Corticocortical Connectivity Modeled by Path Analysis of Functional Magnetic Resonance Imaging Data

    Garry Honey;Cynthia H. Y. Fu;Jieun Kim;Michael J. Brammer

  • Functional coupling of the amygdala in depressed patients treated with antidepressant medication

    Chi-Hua Chen;John Suckling;Cinly Ooi;Cynthia H Y Fu

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

    Yash Patel;Nadine Parker;Jean Shin;Derek Howard

  • A functional magnetic resonance imaging study of overt letter verbal fluency using a clustered acquisition sequence: greater anterior cingulate activation with increased task demand.

    Cynthia H. Y. Fu;Kevin Morgan;John Suckling;Steven C. R. Williams

Frequent Co-Authors

Philip McGuire
Philip McGuire University of Oxford
Marco Picchioni
Marco Picchioni King's College London
Michael Brammer
Michael Brammer King's College London
Robin M. Murray
Robin M. Murray King's College London
Anthony J. Cleare
Anthony J. Cleare King's College London
Christopher Andrew
Christopher Andrew King's College London
Danai Dima
Danai Dima City, University of London
Thomas Frodl
Thomas Frodl Otto-von-Guericke University Magdeburg
Edson Amaro
Edson Amaro Universidade de São Paulo
James H. Cole
James H. Cole University College London

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