World's Best Scientists 2026 revealed!
Luca Roccatagliata

Luca Roccatagliata

D-Index & Metrics

Neuroscience

D-Index
43
Citations
7043
World Ranking
7414
National Ranking
397

Luca Roccatagliata 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 Luca Roccatagliata 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: 168 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Luca Roccatagliata 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 Luca Roccatagliata 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: 43 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Luca Roccatagliata is affiliated with the University of Genoa in Italy. Their research spans multiple aspects of medicine with a strong focus on neurological conditions, particularly in the areas of neurology and medical imaging. Roccatagliata's work has contributed to both clinical and imaging-based studies within these domains.

The main fields of study for Roccatagliata include medicine, with specific subfields in neurology, radiology, nuclear medicine and imaging, pathology and forensic medicine, cognitive neuroscience, and psychiatry and mental health.

The primary research topics covered by Roccatagliata are:

  • Multiple Sclerosis Research Studies
  • Advanced MRI Techniques and Applications
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Parkinson's Disease Mechanisms and Treatments
  • Medical Imaging Techniques and Applications
  • Dementia and Cognitive Impairment Research

Roccatagliata's frequent publication venues include:

  • Scientific Reports
  • Neurological Sciences
  • American Journal of Neuroradiology
  • 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
  • European Journal of Neurology

Notable recent papers authored or co-authored by Roccatagliata are:

  • Acute disseminated encephalomyelitis after SARS-CoV-2 infection, 2020, Neurology Neuroimmunology & Neuroinflammation
  • Amygdalar nuclei and hippocampal subfields on MRI: Test-retest reliability of automated volumetry across different MRI sites and vendors, 2020, NeuroImage
  • Tailoring B cell depletion therapy in MS according to memory B cell monitoring, 2020, Neurology Neuroimmunology & Neuroinflammation
  • Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: A European multi-site 3T study, 2020, Magnetic Resonance Imaging
  • Aggressive multiple sclerosis: a single-centre, real-world treatment experience with autologous haematopoietic stem cell transplantation and alemtuzumab, 2020, European Journal of Neurology

Frequent collaborators in Roccatagliata's research include Matteo Pardini, Silvia Morbelli, Federico Massa, Dario Arnaldi, and Matilde Inglese. These coauthors have contributed extensively alongside Roccatagliata in numerous research projects and publications.

Best Publications

  • A Pilot Study of Normobaric Oxygen Therapy in Acute Ischemic Stroke

    Aneesh B. Singhal;Thomas Benner;Luca Roccatagliata;Walter J. Koroshetz

  • Autologous hematopoietic stem cell transplantation in multiple sclerosis A phase II trial

    Giovanni L Mancardi;Maria P Sormani;Francesca Gualandi;Albert Saiz

  • First-pass quantitative CT perfusion identifies thresholds for salvageable penumbra in acute stroke patients treated with intra-arterial therapy

    P.W. Schaefer;L. Roccatagliata;C. Ledezma;B. Hoh

  • Magnetic resonance imaging as a potential surrogate for relapses in multiple sclerosis: a meta-analytic approach.

    Maria Pia Sormani;Laura Bonzano;Luca Roccatagliata;Gary R. Cutter

  • ASPECTS on CTA Source Images Versus Unenhanced CT Added Value in Predicting Final Infarct Extent and Clinical Outcome

    Shelagh B. Coutts;Michael H. Lev;Michael Eliasziw;Luca Roccatagliata

  • Brain morphometry reproducibility in multi-center 3T MRI studies: a comparison of cross-sectional and longitudinal segmentations

    J Jovicich;M Marizzoni;R Sala-Llonch;B Bosch

  • Acute disseminated encephalomyelitis after SARS-CoV-2 infection.

    Giovanni Novi;Tommaso Rossi;Enrico Pedemonte;Laura Saitta

  • Acute brain infarct: detection and delineation with CT angiographic source images versus nonenhanced CT scans.

    Erica C S Camargo;Karen L Furie;Aneesh B Singhal;Luca Roccatagliata

  • Myelin/Oligodendrocyte Glycoprotein-Induced Autoimmune Encephalomyelitis in Common Marmosets: The Encephalitogenic T Cell Epitope pMOG24–36 Is Presented by a Monomorphic MHC Class II Molecule

    Herbert P.M. Brok;Antonio Uccelli;Nicole Kerlero de Rosbo;Ronald E. Bontrop

  • α-Lipoic acid is effective in prevention and treatment of experimental autoimmune encephalomyelitis

    Monica Morini;Luca Roccatagliata;Raffaella Dell'Eva;Enrico Pedemonte

  • Vaccination with amyloid‐β peptide induces autoimmune encephalomyelitis in C57/BL6 mice

    Roberto Furlan;Elena Brambilla;Francesca Sanvito;Luca Roccatagliata

  • Surrogate endpoints for EDSS worsening in multiple sclerosis: A meta-analytic approach

    M. P. Sormani;L. Bonzano;L. Roccatagliata;G. L. Mancardi

  • Callosal contributions to simultaneous bimanual finger movements.

    Laura Bonzano;Andrea Tacchino;Luca Roccatagliata;Giovanni Abbruzzese

  • Detection of motor cortex thinning and corticospinal tract involvement by quantitative MRI in amyotrophic lateral sclerosis

    Luca Roccatagliata;Laura Bonzano;Gianluigi Mancardi;Cinzia Canepa

  • Hyperdense Basilar Artery Sign on Unenhanced CT Predicts Thrombus and Outcome in Acute Posterior Circulation Stroke

    Gregory V. Goldmakher;Erica C.S. Camargo;Karen L Furie;Aneesh B. Singhal

  • Functional connectivity and neuronal variability of resting state activity in bipolar disorder--reduction and decoupling in anterior cortical midline structures.

    Paola Magioncalda;Matteo Martino;Benedetta Conio;Andrea Escelsior

  • MR Diffusion Imaging in Ischemic Stroke

    Steve H. Fung;Luca Roccatagliata;R. Gilberto Gonzalez;Pamela W. Schaefer

  • Multiple sclerosis: Hyperintense dentate nucleus on unenhanced T1-weighted MR images is associated with the secondary progressive subtype

    Luca Roccatagliata;Luisa Vuolo;Laura Bonzano;Anna Pichiecchio

  • Isolated cognitive relapses in multiple sclerosis

    Matteo Pardini;Antonio Uccelli;Jordan Grafman;Özgür Yaldizli

  • Thrombectomy of calcified emboli in stroke. Does histology of thrombi influence the effectiveness of thrombectomy

    Tomas Dobrocky;Eike Piechowiak;Alessandro Cianfoni;Felix Zibold

  • Frontal Networks Play a Role in Fatigue Perception in Multiple Sclerosis

    Matteo Pardini;Laura Bonzano;Giovanni Luigi Mancardi;Luca Roccatagliata

Frequent Co-Authors

Flavio Nobili
Flavio Nobili University of Genoa
Matilde Inglese
Matilde Inglese University of Genoa
Jens Wiltfang
Jens Wiltfang University of Göttingen
Jorge Jovicich
Jorge Jovicich University of Trento
David Bartrés-Faz
David Bartrés-Faz University of Barcelona
Giovanni B. Frisoni
Giovanni B. Frisoni University of Geneva
Jean-Philippe Ranjeva
Jean-Philippe Ranjeva Aix-Marseille University
Peter Schönknecht
Peter Schönknecht Leipzig University
Núria Bargalló
Núria Bargalló University of Barcelona
Alberto Beltramello
Alberto Beltramello University of Verona

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