D-Index & Metrics Best Publications
Medicine
Italy
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Medicine D-index 158 Citations 113,569 1,827 World Ranking 449 National Ranking 10

Research.com Recognitions

Awards & Achievements

2023 - Research.com Medicine in Italy Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Magnetic resonance imaging
  • Disease

The scientist’s investigation covers issues in Multiple sclerosis, Magnetic resonance imaging, Central nervous system disease, Pathology and White matter. Massimo Filippi has researched Multiple sclerosis in several fields, including Lesion, Surgery, Internal medicine and Nuclear medicine. His Internal medicine study incorporates themes from Gastroenterology and Cardiology.

His Magnetic resonance imaging research includes elements of Cord, Neurology and Disease. His Central nervous system disease research is multidisciplinary, incorporating elements of Predictive value of tests, Central nervous system, Cohort and Brain size. His White matter research is multidisciplinary, incorporating perspectives in Diffusion MRI and Neuroscience.

His most cited work include:

  • Diagnostic criteria for multiple sclerosis: 2010 Revisions to the McDonald criteria (7085 citations)
  • Diagnostic criteria for multiple sclerosis: 2005 revisions to the "McDonald Criteria". (4139 citations)
  • Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria (1618 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Multiple sclerosis, Magnetic resonance imaging, Pathology, Neuroscience and White matter. His Multiple sclerosis research is multidisciplinary, relying on both Lesion, Internal medicine, Central nervous system disease, Nuclear medicine and Radiology. His Internal medicine research includes themes of Gastroenterology, Expanded Disability Status Scale, Oncology and Cardiology.

His Magnetic resonance imaging study deals with Spinal cord intersecting with Cord. His Atrophy and Pathological study, which is part of a larger body of work in Pathology, is frequently linked to In patient, bridging the gap between disciplines. Massimo Filippi interconnects Corpus callosum, Diffusion MRI and Audiology in the investigation of issues within White matter.

He most often published in these fields:

  • Multiple sclerosis (56.08%)
  • Magnetic resonance imaging (32.80%)
  • Pathology (25.90%)

What were the highlights of his more recent work (between 2017-2021)?

  • Multiple sclerosis (56.08%)
  • Internal medicine (14.97%)
  • Neuroscience (21.26%)

In recent papers he was focusing on the following fields of study:

Massimo Filippi mostly deals with Multiple sclerosis, Internal medicine, Neuroscience, Neurology and Magnetic resonance imaging. The Multiple sclerosis study combines topics in areas such as White matter and Atrophy, Pathology. Massimo Filippi has included themes like Corpus callosum and Diffusion MRI in his White matter study.

His work often combines Pathology and In patient studies. His research integrates issues of Gastroenterology, Oncology and Cardiology in his study of Internal medicine. His work is dedicated to discovering how Magnetic resonance imaging, Spinal cord are connected with Cord and Radiology and other disciplines.

Between 2017 and 2021, his most popular works were:

  • Cognition in multiple sclerosis: State of the field and priorities for the future (175 citations)
  • Cognition in multiple sclerosis (152 citations)
  • Deep gray matter volume loss drives disability worsening in multiple sclerosis. (132 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Diagnostic criteria for multiple sclerosis: 2010 Revisions to the McDonald criteria

Chris H Polman;Stephen C Reingold;Brenda Banwell;Michel Clanet.
Annals of Neurology (2011)

9780 Citations

Diagnostic criteria for multiple sclerosis: 2005 revisions to the "McDonald Criteria".

Chris H. Polman;Stephen C. Reingold;Gilles Edan;Massimo Filippi.
Annals of Neurology (2005)

6238 Citations

Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria

Alan J. Thompson;Brenda L. Banwell;Frederik Barkhof;Frederik Barkhof;William M. Carroll.
Lancet Neurology (2017)

3887 Citations

Comparison of MRI criteria at first presentation to predict conversion to clinically definite multiple sclerosis.

Frederik Barkhof;Massimo Filippi;David H. Miller;Philip Scheltens.
Brain (1997)

1701 Citations

Effect of early interferon treatment on conversion to definite multiple sclerosis: a randomised study.

Giancarlo Comi;Massimo Filippi;Frederik Barkhof;Luca Durelli.
The Lancet (2001)

1438 Citations

European/Canadian multicenter, double‐blind, randomized, placebo‐controlled study of the effects of glatiramer acetate on magnetic resonance imaging–measured disease activity and burden in patients with relapsing multiple sclerosis

Giancarlo Comi;Massimo Filippi;Jerry S. Wolinsky.
Annals of Neurology (2001)

1081 Citations

Differential diagnosis of suspected multiple sclerosis: a consensus approach

D. H. Miller;B. G. Weinshenker;M. Filippi;B. L. Banwell.
Multiple Sclerosis Journal (2008)

819 Citations

Clinically isolated syndromes suggestive of multiple sclerosis, part I: natural history, pathogenesis, diagnosis, and prognosis

David Miller;Frederik Barkhof;Xavier Montalban;Alan Thompson.
Lancet Neurology (2005)

815 Citations

MRI criteria for the diagnosis of multiple sclerosis: MAGNIMS consensus guidelines.

Massimo Filippi;Maria Assunta Rocca;Olga Ciccarelli;Olga Ciccarelli;Nicola De Stefano.
Lancet Neurology (2016)

792 Citations

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

M Bozzali;A Falini;M Franceschi;M Cercignani.
Journal of Neurology, Neurosurgery, and Psychiatry (2002)

674 Citations

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