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Neuroscience

D-Index
58
Citations
10271
World Ranking
4221
National Ranking
188

Paola Valsasina 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 Paola Valsasina 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: 299 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Paola Valsasina 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 Paola Valsasina 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: 58 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Overview

Paola Valsasina is affiliated with Vita-Salute San Raffaele University in Italy, contributing extensively to research in the fields of Medicine and Neuroscience. Their work primarily focuses on multiple sclerosis and neuroimaging, reflecting a strong commitment to understanding neurological conditions and brain function through advanced imaging techniques.

The scientist's publication record includes a significant number of articles in respected venues, with frequent contributions to Neurology, Journal of Neurology, Multiple Sclerosis Journal, Journal of the Neurological Sciences, and Molecular Psychiatry. This distribution highlights a consistent presence in journals central to neurological and psychiatric research.

Among recent papers authored or coauthored by Valsasina are:

  • Task- and resting-state fMRI studies in multiple sclerosis: From regions to systems and time-varying analysis. Current status and future perspective (2022, NeuroImage Clinical)
  • Association of Gray Matter Atrophy Patterns With Clinical Phenotype and Progression in Multiple Sclerosis (2021, Neurology)
  • Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability (2020, Brain)
  • Resting state network functional connectivity abnormalities in systemic lupus erythematosus: correlations with neuropsychiatric impairment (2020, Molecular Psychiatry)
  • Clinical correlates of hypothalamic functional changes in migraine patients (2021, Cephalalgia)

Their collaborative network includes frequent coauthors such as Maria A. Rocca, Massimo Filippi, Paolo Preziosa, Alessandro Meani, and Elisabetta Pagani, indicating a strong collaborative presence in the field.

Valsasina's research spans several subfields, including Pathology and Forensic Medicine, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology, and Psychiatry and Mental Health. These areas reflect a multidisciplinary approach within the broader domains of Medicine and Neuroscience.

The main topics covered in their work include:

  • Multiple Sclerosis Research Studies
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications
  • Migraine and Headache Studies
  • Cerebral Palsy and Movement Disorders

These topics underscore a focus on understanding brain function and dysfunction through advanced imaging and connectivity studies, with particular attention to neurological diseases such as multiple sclerosis and migraine.

Best Publications

  • Clinical and imaging assessment of cognitive dysfunction in multiple sclerosis

    Maria A Rocca;Maria Pia Amato;Nicola De Stefano;Christian Enzinger

  • Default-mode network dysfunction and cognitive impairment in progressive MS

    M. A. Rocca;P. Valsasina;M. Absinta;G. Riccitelli

  • Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.

    Charley Gros;Benjamin De Leener;Atef Badji;Josefina Maranzano

  • Multiple sclerosis: effects of cognitive rehabilitation on structural and functional MR imaging measures--an explorative study.

    Massimo Filippi;Gianna Riccitelli;Flavia Mattioli;Ruggero Capra

  • The organization of intrinsic brain activity differs between genders: a resting-state fMRI study in a large cohort of young healthy subjects.

    Massimo Filippi;Paola Valsasina;Paolo Misci;Andrea Falini

  • Large-scale neuronal network dysfunction in relapsing-remitting multiple sclerosis

    Maria A. Rocca;Paola Valsasina;Vittorio Martinelli;Paolo Misci

  • Divergent brain network connectivity in amyotrophic lateral sclerosis.

    Federica Agosta;Elisa Canu;Paola Valsasina;Nilo Riva

  • A multicenter assessment of cervical cord atrophy among MS clinical phenotypes

    M. A. Rocca;M. A. Horsfield;S. Sala;M. Copetti

  • Functional network connectivity in the behavioral variant of frontotemporal dementia

    Massimo Filippi;Federica Agosta;Elisa Scola;Elisa Canu

  • A longitudinal diffusion tensor MRI study of the cervical cord and brain in amyotrophic lateral sclerosis patients

    Federica Agosta;Maria A Rocca;Paola Valsasina;Stefania Sala

  • Impaired functional integration in multiple sclerosis: a graph theory study

    Maria A. Rocca;Paola Valsasina;Alessandro Meani;Andrea Falini

  • Mean diffusivity and fractional anisotropy histogram analysis of the cervical cord in MS patients.

    Paola Valsasina;Maria Assunta Rocca;Federica Agosta;Beatrice Benedetti

  • Brain network connectivity assessed using graph theory in frontotemporal dementia

    Federica Agosta;Sara Sala;Paola Valsasina;Alessandro Meani

  • The Cortical Signature of Amyotrophic Lateral Sclerosis

    Federica Agosta;Paola Valsasina;Nilo Riva;Massimiliano Copetti

  • Measurement error of two different techniques for brain atrophy assessment in multiple sclerosis.

    M. P. Sormani;M. Rovaris;P. Valsasina;J. S. Wolinsky

  • Cortical Abnormalities in Patients with Migraine: A Surface-based Analysis

    Roberta Messina;Maria A. Rocca;Bruno Colombo;Paola Valsasina

  • Influence of aging on brain gray and white matter changes assessed by conventional, MT, and DT MRI.

    B. Benedetti;A. Charil;M. Rovaris;E. Judica

  • MRI monitoring of pathological changes in the spinal cord in patients with multiple sclerosis

    Achim Gass;Maria A Rocca;Federica Agosta;Olga Ciccarelli

  • Structural and functional MRI correlates of Stroop control in benign MS.

    Maria A. Rocca;Paola Valsasina;Antonia Ceccarelli;Martina Absinta

  • Short-term accrual of gray matter pathology in patients with progressive multiple sclerosis: an in vivo study using diffusion tensor MRI.

    Marco Rovaris;Antonio Gallo;Paola Valsasina;Beatrice Benedetti

  • Functional network connectivity abnormalities in multiple sclerosis: Correlations with disability and cognitive impairment.

    Maria A Rocca;Paola Valsasina;Victoria M Leavitt;Mariaemma Rodegher

  • Multiple sclerosis: Effects of Cognitive Rehabilitation on Structural and Functional MR Imaging

    Massimo Filippi;Gianna Riccitelli;Flavia Mattioli;Ruggero Capra

Frequent Co-Authors

Massimo Filippi
Massimo Filippi Vita-Salute San Raffaele University
Maria A. Rocca
Maria A. Rocca Vita-Salute San Raffaele University
Giancarlo Comi
Giancarlo Comi Vita-Salute San Raffaele University
Andrea Falini
Andrea Falini Vita-Salute San Raffaele University
Federica Agosta
Federica Agosta Vita-Salute San Raffaele University
Olga Ciccarelli
Olga Ciccarelli University College London
Frederik Barkhof
Frederik Barkhof University College London
Xavier Montalban
Xavier Montalban Autonomous University of Barcelona
Elisabetta Pagani
Elisabetta Pagani Vita-Salute San Raffaele University

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