World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
46
Citations
7433
World Ranking
6729
National Ranking
522

Mattia Veronese 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 Mattia Veronese 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: 252 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Mattia Veronese 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 Mattia Veronese 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: 46 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Overview

Mattia Veronese is affiliated with King's College London in the United Kingdom, with a research focus spanning neuroscience and medicine. Their work is prolific within radiology, nuclear medicine, and imaging, alongside interests in cognitive neuroscience, neurology, molecular biology, and cellular and molecular neuroscience. These fields underline a multidisciplinary approach to understanding brain function and disorders.

The scientist's research topics encompass a range of neuroscience and neuropharmacology domains. Key areas include functional brain connectivity studies, tryptophan and brain disorders, advanced MRI techniques and applications, neuroinflammation and neurodegeneration mechanisms, advanced neuroimaging techniques, and medical imaging techniques and applications.

Frequent publication venues highlight the dissemination channels preferred by the researcher, which include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Molecular Psychiatry
  • Brain Behavior and Immunity
  • Schizophrenia Bulletin
  • Preprints.org

Recent papers by Mattia Veronese demonstrate engagement with complex neuropsychiatric conditions and imaging methodologies. Notable publications include:

  • "Reproducing the dopamine pathophysiology of schizophrenia and approaches to ameliorate it: a translational imaging study with ketamine" (2020, Molecular Psychiatry)
  • "Choroid plexus enlargement is associated with neuroinflammation and reduction of blood brain barrier permeability in depression" (2021, NeuroImage Clinical)
  • "Dopamine and Glutamate in Antipsychotic-Responsive Compared With Antipsychotic-Nonresponsive Psychosis: A Multicenter Positron Emission Tomography and Magnetic Resonance Spectroscopy Study (STRATA)" (2020, Schizophrenia Bulletin)
  • "GABA-A receptor differences in schizophrenia: a positron emission tomography study using [11C]Ro154513" (2020, Molecular Psychiatry)
  • "Imaging transcriptomics: Convergent cellular, transcriptomic, and molecular neuroimaging signatures in the healthy adult human brain" (2021, Cell Reports)

Collaboration forms a significant component of their research output. Frequent co-authors include:

  • Federico Turkheimer
  • Oliver Howes
  • Daniel Martins
  • Steven Williams
  • Ottavia Dipasquale

The combination of research fields, topics, and collaboration pattern suggests Mattia Veronese's work is highly integrated within neuroimaging and neuropharmacological research communities. The focus on brain connectivity, neuroinflammation, and imaging modalities supports contributions to advancing understanding of psychiatric and neurological disorders.

Best Publications

  • Microglial Activity in People at Ultra High Risk of Psychosis and in Schizophrenia: An [11C]PBR28 PET Brain Imaging Study

    Peter S. Bloomfield;Sudhakar Selvaraj;Mattia Veronese;Gaia Rizzo

  • Dynamic Imaging of Individual Remyelination Profiles in Multiple Sclerosis

    Benedetta Bodini;Benedetta Bodini;Mattia Veronese;Daniel García-Lorenzo;Marco Battaglini

  • The methodology of TSPO imaging with positron emission tomography.

    Federico E. Turkheimer;Gaia Rizzo;Peter S. Bloomfield;Oliver Howes;Oliver Howes

  • A Test of the Transdiagnostic Dopamine Hypothesis of Psychosis Using Positron Emission Tomographic Imaging in Bipolar Affective Disorder and Schizophrenia

    Sameer Jauhar;Sameer Jauhar;Matthew M Nour;Matthew M Nour;Mattia Veronese;Maria Rogdaki

  • Neuroinflammation in schizophrenia: meta-analysis of in vivo microglial imaging studies.

    Tiago Reis Marques;Abhishekh Hulegar Ashok;Toby Pillinger;Mattia Veronese

  • Functional reorganization in obstructive sleep apnoea and insomnia: A systematic review of the resting-state fMRI.

    Habibolah Khazaie;Mattia Veronese;Khadijeh Noori;Farnoosh Emamian

  • Determinants of treatment response in first-episode psychosis: an 18 F-DOPA PET study

    Sameer Jauhar;Mattia Veronese;Matthew M Nour;Matthew M Nour;Maria Rogdaki;Maria Rogdaki

  • Amyloid pathology and axonal injury after brain trauma

    Gregory Scott;Anil F. Ramlackhansingh;Paul Edison;Peter Hellyer

  • Kinetic Modeling without Accounting for the Vascular Component Impairs the Quantification of [11C]PBR28 Brain PET Data

    Gaia Rizzo;Mattia Veronese;Matteo Tonietto;Paolo Zanotti-Fregonara

  • Presynaptic Dopamine Capacity in Patients with Treatment-Resistant Schizophrenia Taking Clozapine: An [ 18 F]DOPA PET Study

    Euitae Kim;Oliver D. Howes;Oliver D. Howes;Mattia Veronese;Katherine Beck

  • Choroid plexus enlargement is associated with neuroinflammation and reduction of blood brain barrier permeability in depression

    Unknown

  • Positron Emission Tomography Studies of the Glial Cell Marker Translocator Protein in Patients With Psychosis: A Meta-analysis Using Individual Participant Data.

    Pontus Plavén-Sigray;Granville J. Matheson;Karin Collste;Abhishekh H. Ashok

  • The relationship between cortical glutamate and striatal dopamine in first-episode psychosis: a cross-sectional multimodal PET and magnetic resonance spectroscopy imaging study

    Sameer Jauhar;Robert McCutcheon;Faith Borgan;Mattia Veronese

  • Sex difference in brain CB1 receptor availability in man.

    Heikki Laurikainen;Lauri Tuominen;Maria Tikka;Harri Merisaari

  • Dynamic 11C-PiB PET Shows Cerebrospinal Fluid Flow Alterations in Alzheimer Disease and Multiple Sclerosis.

    Julia J. Schubert;Mattia Veronese;Livia Marchitelli;Benedetta Bodini

  • Mesolimbic Dopamine Function Is Related to Salience Network Connectivity: An Integrative Positron Emission Tomography and Magnetic Resonance Study

    Robert Ali McCutcheon;Robert Ali McCutcheon;Robert Ali McCutcheon;Matthew Nour;Tarik Dahoun;Sameer Jauhar

  • Reproducing the dopamine pathophysiology of schizophrenia and approaches to ameliorate it: a translational imaging study with ketamine.

    Michelle Kokkinou;Elaine E Irvine;David R Bonsall;Sridhar Natesan

  • Brain connectomics: time for a molecular imaging perspective?

    Unknown

  • Dopamine and Glutamate in Antipsychotic-Responsive Compared With Antipsychotic-Nonresponsive Psychosis: A Multicenter Positron Emission Tomography and Magnetic Resonance Spectroscopy Study (STRATA).

    Alice Egerton;Alice Egerton;Anna Murphy;Jacek Donocik;Adriana Anton;Adriana Anton

  • GABA-A receptor differences in schizophrenia: a positron emission tomography study using [ 11 C]Ro154513.

    Tiago Reis Marques;Abhishekh H Ashok;Abhishekh H Ashok;Ilinca Angelescu;Faith Borgan;Faith Borgan

  • Quantification of [(11)C]PIB PET for imaging myelin in the human brain: a test-retest reproducibility study in high-resolution research tomography.

    Mattia Veronese;Benedetta Bodini;Daniel García-Lorenzo;Marco Battaglini

  • Kinetic modelling of [11C]PBR28 for 18 kDa translocator protein PET data: A validation study of vascular modelling in the brain using XBD173 and tissue analysis.

    Mattia Veronese;Tiago Reis Marques;Peter S Bloomfield;Gaia Rizzo

Frequent Co-Authors

Oliver D. Howes
Oliver D. Howes King's College London
Federico E. Turkheimer
Federico E. Turkheimer King's College London
Philip McGuire
Philip McGuire University of Oxford
Alice Egerton
Alice Egerton King's College London
Mitul A. Mehta
Mitul A. Mehta King's College London
James M. Stone
James M. Stone Brighton and Sussex Medical School
Robert B. Innis
Robert B. Innis National Institutes of Health
Shitij Kapur
Shitij Kapur King's College London
Fernando Zelaya
Fernando Zelaya King's College London
Sami S. Zoghbi
Sami S. Zoghbi National Institutes of Health

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