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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 46 6729 6191 522 480 252 7433

Mattia Veronese publications per year

The chart shows the history of publications by Mattia Veronese between 2009 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mattia Veronese published across 18 years, from 2009 to 2026, averaging 17.3 papers a year. Output peaked at 50 publications in 2021. 41 of the 312 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2009 to 2026. Vertical axis: number of publications, 0 to 50. Peak 50 publications in 2021. 2009: 1 publication 2010: 4 publications 2011: 1 publication 2012: 5 publications 2013: 9 publications 2014: 7 publications 2015: 11 publications 2016: 15 publications 2017: 26 publications 2018: 20 publications 2019: 36 publications 2020: 21 publications 2021: 50 publications 2022: 25 publications 2023: 20 publications 2024: 20 publications 2025: 39 publications 2026: 2 publications
2009 2026

312 publications in total across all disciplines

View publications per year as a table
Mattia Veronese: publications per year, 2009 to 2026
Year Publications
2009 1
2010 4
2011 1
2012 5
2013 9
2014 7
2015 11
2016 15
2017 26
2018 20
2019 36
2020 21
2021 50
2022 25
2023 20
2024 20
2025 39
2026 2
Total 312
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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.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 248–257 publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 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.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174 252
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
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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.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 46–47 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512 46
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
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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

  • 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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