World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
76
Citations
20098
World Ranking
1926
National Ranking
202

Mara Cercignani 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 Mara Cercignani 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: 313 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Mara Cercignani 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 Mara Cercignani 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: 76 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Mara Cercignani is affiliated with Cardiff University in the United Kingdom and has contributed extensively to the fields of Medicine and Neuroscience. Their work primarily involves Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Neurology, Psychiatry and Mental Health, and Biological Psychiatry.

The scientist's research focuses on advanced neuroimaging methods and their applications. The main topics of their work include:

  • Advanced Neuroimaging Techniques and Applications
  • Functional Brain Connectivity Studies
  • Advanced MRI Techniques and Applications
  • MRI in Cancer Diagnosis
  • Tryptophan and Brain Disorders
  • Multiple Sclerosis Research Studies
  • Neuroinflammation and Neurodegeneration Mechanisms

Mara Cercignani has contributed to various publication venues, with frequent appearances in:

  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Brain Behavior and Immunity
  • Journal of Alzheimer s Disease
  • arXiv (Cornell University)

Their recent papers include:

  • "Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders" (2020), published in JAMA Psychiatry
  • "Subcortical Brain Volume, Regional Cortical Thickness, and Cortical Surface Area Across Disorders: Findings From the ENIGMA ADHD, ASD, and OCD Working Groups" (2020), published in American Journal of Psychiatry
  • "An interactive meta-analysis of MRI biomarkers of myelin" (2020), published in eLife
  • "Peripheral inflammation is associated with micro-structural and functional connectivity changes in depression-related brain networks" (2021), published in Molecular Psychiatry
  • "Analysis of structural brain asymmetries in attention-deficit/hyperactivity disorder in 39 datasets" (2021), published in Journal of Child Psychology and Psychiatry

Frequent coauthors collaborating with Mara Cercignani include:

  • Marco Bozzali
  • Neil A. Harrison
  • Derek K. Jones
  • Matteo Mancini
  • James Gholam

Their work encompasses a multidisciplinary approach, contributing to understanding psychiatric disorders, neuroinflammation, brain structural asymmetries, and MRI biomarker analyses. The variety of their research outputs illustrates engagement across multiple aspects of neuroimaging and mental health research.

Best Publications

  • About "axial" and "radial" diffusivities.

    Claudia A M Wheeler-Kingshott;Mara Cercignani

  • White matter damage in Alzheimer's disease assessed in vivo using diffusion tensor magnetic resonance imaging

    M Bozzali;A Falini;M Franceschi;M Cercignani

  • The effect of filter size on VBM analyses of DT-MRI data.

    Derek K. Jones;Mark R. Symms;Mara Cercignani;Robert J. Howard

  • Diffusion tensor magnetic resonance imaging in multiple sclerosis

    Massimo Filippi;M. Cercignani;M. Inglese;M. A. Horsfield

  • Brain Imaging of the Cortex in ADHD: A Coordinated Analysis of Large-Scale Clinical and Population-Based Samples

    Martine Hoogman;Ryan Muetzel;Joao P. Guimaraes;Elena Shumskaya

  • Transcranial magnetic stimulation of the precuneus enhances memory and neural activity in prodromal Alzheimer's disease.

    Giacomo Koch;Sonia Bonnì;Maria Concetta Pellicciari;Elias P. Casula

  • Magnetisation transfer ratio and mean diffusivity of normal appearing white and grey matter from patients with multiple sclerosis

    M Cercignani;M Bozzali;G Iannucci;G Comi

  • Mean diffusivity and fractional anisotropy histograms of patients with multiple sclerosis.

    Mara Cercignani;Matilde Inglese;Elisabetta Pagani;Giancarlo Comi

  • Regional brain atrophy and functional disconnection across Alzheimer's disease evolution

    T Gili;M Cercignani;L Serra;R Perri

  • Quantification of brain gray matter damage in different MS phenotypes by use of diffusion tensor MR imaging.

    Marco Bozzali;Mara Cercignani;Maria Pia Sormani;Giancarlo Comi

  • A quantitative study of water diffusion in multiple sclerosis lesions and normal-appearing white matter using echo-planar imaging.

    Massimo Filippi;Giuseppe Iannucci;Mara Cercignani;Maria Assunta Rocca

  • Pathologic damage in MS assessed by diffusion-weighted and magnetization transfer MRI.

    M. Cercignani;G. Iannucci;M. A. Rocca;G. Comi

  • The contribution of voxel-based morphometry in staging patients with mild cognitive impairment.

    M. Bozzali;M. Filippi;G. Magnani;M. Cercignani

  • CSF1R inhibitor JNJ-40346527 attenuates microglial proliferation and neurodegeneration in P301S mice

    Renzo Mancuso;Gemma Fryatt;Madeleine Cleal;Juliane Obst

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

    Yash Patel;Nadine Parker;Jean Shin;Derek Howard

  • Regional Gray Matter Atrophy in Early Primary Progressive Multiple Sclerosis: A Voxel-Based Morphometry Study

    Jorge Sepulcre;Jaume Sastre-Garriga;Mara Cercignani;Gordon T. Ingle

  • Quantification of tissue damage in AD using diffusion tensor and magnetization transfer MRI

    M. Bozzali;M. Franceschi;A. Falini;S. Pontesilli

  • Defining Meyer's loop–temporal lobe resections, visual field deficits and diffusion tensor tractography

    M. Yogarajah;N. K. Focke;S. Bonelli;M. Cercignani

  • Gaussian process classification of Alzheimer's disease and mild cognitive impairment from resting-state fMRI.

    Edward Challis;Peter Hurley;Laura Serra;Marco Bozzali

  • Inflammatory biomarkers in Alzheimer's disease plasma

    Angharad R Morgan;Samuel Touchard;Claire Leckey;Caroline O'Hagan

  • Exploring the relationship between white matter and gray matter damage in early primary progressive multiple sclerosis: an in vivo study with TBSS and VBM.

    Benedetta Bodini;Zhaleh Khaleeli;Mara Cercignani;David H. Miller

  • Subcortical Brain Volume, Regional Cortical Thickness, and Cortical Surface Area Across Disorders: Findings From the ENIGMA ADHD, ASD, and OCD Working Groups

    Premika S W Boedhoe;Daan van Rooij;Martine Hoogman;Jos W R Twisk

  • Spinal cord spectroscopy and diffusion-based tractography to assess acute disability in multiple sclerosis

    O. Ciccarelli;C.A. Wheeler-Kingshott;M.A. McLean;M. Cercignani

Frequent Co-Authors

Marco Bozzali
Marco Bozzali Brighton and Sussex Medical School
Carlo Caltagirone
Carlo Caltagirone Fondazione Santa Lucia
Laura Serra
Laura Serra University of Barcelona
Neil A. Harrison
Neil A. Harrison Cardiff University
Massimo Filippi
Massimo Filippi Vita-Salute San Raffaele University
Camillo Marra
Camillo Marra Agostino Gemelli University Polyclinic
Alan J. Thompson
Alan J. Thompson University College London
Hugo D. Critchley
Hugo D. Critchley Brighton and Sussex Medical School
Olga Ciccarelli
Olga Ciccarelli University College London
Daniel C. Alexander
Daniel C. Alexander University College London

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