World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
86
Citations
30754
World Ranking
1280
National Ranking
139

David J. Sharp 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 David J. Sharp 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: 373 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

David J. Sharp 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 David J. Sharp 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: 86 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Overview

David J. Sharp is affiliated with Imperial College London in the United Kingdom. Their research primarily spans the field of medicine, with a focus on neurology and related subfields. These subfields include epidemiology, cognitive neuroscience, radiology, nuclear medicine and imaging, and emergency medicine.

The main topics of their work center on traumatic brain injury and its associated complexities. Specific areas of interest include:

  • Traumatic Brain Injury Research
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Advanced Neuroimaging Techniques and Applications
  • Dementia and Cognitive Impairment Research
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Cardiac Arrest and Resuscitation

Their frequent co-authors include:

  • Karl Zimmerman
  • Neil Graham
  • Eyal Soreq
  • Lucia M. Li
  • Magdalena Kolanko

David J. Sharp's publications appear often in a select group of scientific venues. These include:

  • Alzheimer's & Dementia
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Brain
  • Brain Communications
  • Journal of Neurology Neurosurgery & Psychiatry

Among their recent papers are:

  • "Traumatic brain injury: progress and challenges in prevention, clinical care, and research" (2022, The Lancet Neurology)
  • "SARS-CoV-2 infection, clinical features and outcome of COVID-19 in United Kingdom nursing homes" (2020, Journal of Infection)
  • "Axonal marker neurofilament light predicts long-term outcomes and progressive neurodegeneration after traumatic brain injury" (2021, Science Translational Medicine)
  • "Diffuse axonal injury predicts neurodegeneration after moderate-severe traumatic brain injury" (2020, Brain)
  • "Multiplexed immunosensors for point-of-care diagnostic applications" (2022, Biosensors and Bioelectronics)

Best Publications

  • The role of the posterior cingulate cortex in cognition and disease.

    Robert Leech;David J. Sharp

  • Inflammation after trauma: Microglial activation and traumatic brain injury

    Anil F. Ramlackhansingh;David J. Brooks;Richard J. Greenwood;Subrata K. Bose

  • Fractionating the Default Mode Network: Distinct Contributions of the Ventral and Dorsal Posterior Cingulate Cortex to Cognitive Control

    Robert Leech;Salwa Kamourieh;Christian F. Beckmann;David J. Sharp

  • Brain age predicts mortality

    J H Cole;S J Ritchie;M E Bastin;M C Valdés Hernández

  • White matter damage and cognitive impairment after traumatic brain injury.

    Kirsi Maria Kinnunen;Richard Greenwood;Jane Hilary Powell;Robert Leech

  • Network dysfunction after traumatic brain injury

    David J. Sharp;Gregory Scott;Robert Leech

  • Echoes of the Brain within the Posterior Cingulate Cortex

    Robert Leech;Rodrigo Braga;David J. Sharp

  • Salience network integrity predicts default mode network function after traumatic brain injury

    Valerie Bonnelle;Timothy E. Ham;Robert Leech;Kirsi M. Kinnunen

  • Distinct frontal systems for response inhibition, attentional capture, and error processing

    D. J. Sharp;V. Bonnelle;X. De Boissezon;C. F. Beckmann

  • Default Mode Network Connectivity Predicts Sustained Attention Deficits after Traumatic Brain Injury

    V Bonnelle;R Leech;K M Kinnunen;T E Ham

  • Default mode network functional and structural connectivity after traumatic brain injury.

    David J. Sharp;Christian F. Beckmann;Richard Greenwood;Kirsi Maria Kinnunen

  • Prediction of brain age suggests accelerated atrophy after traumatic brain injury

    James H. Cole;Robert Leech;David J. Sharp

  • Brain iron chelation by deferiprone in a phase 2 randomised double-blinded placebo controlled clinical trial in Parkinson's disease.

    Antonio Martin-Bastida;Roberta J. Ward;Roberta J. Ward;Rexford Newbould;Paola Piccini

  • Understanding neurodegeneration after traumatic brain injury: from mechanisms to clinical trials in dementia.

    Neil Sn Graham;David J Sharp

  • Cognitive Control and the Salience Network: An Investigation of Error Processing and Effective Connectivity

    Timothy Ham;Alex Leff;Xavier de Boissezon;Xavier de Boissezon;Anna Joffe

  • SARS-CoV-2 infection, clinical features and outcome of COVID-19 in United Kingdom nursing homes.

    Neil Sn Graham;Cornelia Junghans;Rawlda Downes;Catherine Sendall

  • Implications for psychedelic-assisted psychotherapy: functional magnetic resonance imaging study with psilocybin

    R. L. Carhart-Harris;R. Leech;T. M. Williams;D. Erritzoe

  • Computational modelling of traumatic brain injury predicts the location of chronic traumatic encephalopathy pathology

    Mazdak Ghajari;Peter J. Hellyer;David J. Sharp

  • Long-Term Outcomes Associated with Traumatic Brain Injury in Childhood and Adolescence: A Nationwide Swedish Cohort Study of a Wide Range of Medical and Social Outcomes

    Amir Sariaslan;David J. Sharp;Brian M. D’Onofrio;Henrik Larsson;Henrik Larsson

  • Functional Connectivity Measures After Psilocybin Inform a Novel Hypothesis of Early Psychosis

    Robin L Carhart-Harris;Robert Leech;David Erritzoe;Tim M Williams

Frequent Co-Authors

Robert Leech
Robert Leech King's College London
James H. Cole
James H. Cole University College London
Adam Hampshire
Adam Hampshire Imperial College London
Richard Greenwood
Richard Greenwood University College London
David W. Carmichael
David W. Carmichael King's College London
Peter Reiss
Peter Reiss University of Amsterdam
Roger N. Gunn
Roger N. Gunn Imperial College London
Richard J. S. Wise
Richard J. S. Wise Imperial College London
Alan Winston
Alan Winston Imperial College London
Sophie K. Scott
Sophie K. Scott University College London

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