The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Fabio Pellegrini sits on this spectrum.
This scientist: 271 publications — 11th percentile
11% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,796 publications or more.
The chart shows the D-index (discipline H-index) distribution of Medicine scientists ranked by Research.com in 2026. The highlighted bar marks where Fabio Pellegrini sits on this spectrum.
This scientist: 77 D-Index — 10th percentile
10% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 217 D-Index or more.
Fabio Pellegrini is affiliated with Biogen in the United States, focusing on research at the intersection of medicine and mathematics. Their work has a strong emphasis on multiple sclerosis (MS) research studies, as well as advanced statistical methods and causal inference techniques. Pellegrini's research spans several fields, including medicine, statistics and probability, pathology and forensic medicine, economics and econometrics, molecular biology, and rheumatology.
Pellegrini has contributed extensively to studies on health systems, economic evaluations, and quality of life, as well as topics related to statistical methods in clinical trials and mental health research. Their publications also cover areas such as bioinformatics and genomic networks, reflecting a multidisciplinary approach to biomedical research.
Their recent publications include:
Pellegrini frequently publishes in venues such as arXiv (Cornell University), Frontiers in Neurology, Multiple Sclerosis Journal, Statistics in Medicine, and Research Synthesis Methods. These venues highlight the focus on both clinical and methodological aspects of medical research, particularly relating to MS and biostatistics.
Frequent co-authors working closely with Pellegrini include Carl de Moor, Gabrielle Simoneau, Konstantina Chalkou, Georgia Salanti, and Andrea Manca. This network of collaborators reflects interdisciplinary teamwork combining expertise in statistics, medical research, and health economics.
Their work includes substantial contributions to the development and application of advanced causal inference techniques, with a focus on improving decision-making in clinical research. These efforts are particularly visible in studies addressing treatment effects and outcomes in neurological conditions such as multiple sclerosis.
O. Abe;R. Abe;K. Enomoto;K. Kikuchi
Suetonia C. Palmer;Andrew Hayen;Petra Macaskill;Fabio Pellegrini
Suetonia Palmer;Mariacristina Vecchio;Jonathan C. Craig;Marcello Tonelli
Herman Schargrodsky;Rafael Hernández-Hernández;Beatriz Marcet Champagne;Honorio Silva
P. Knoebl;P. Marco;F. Baudo;Peter William Collins
Giorgia De Berardis;Michele Sacco;Giovanni F M Strippoli;Fabio Pellegrini
Giovanni F M Strippoli;Sankar D Navaneethan;David W Johnson;Vlado Perkovic
Monica Franciosi;Giuseppe Lucisano;Emanuela Lapice;Giovanni F. M. Strippoli
Michele Sacco;Fabio Pellegrini;Maria C. Roncaglioni;Fausto Avanzini
Suetonia C. Palmer;Sankar D. Navaneethan;Jonathan C. Craig;David W. Johnson
I. L. Simone;D. Carrara;C. Tortorella;M. Liguori
Monica Franciosi;Fabio Pellegrini;Giorgia De Berardis;Maurizio Belfiglio
Giorgia De Berardis;Monica Franciosi;Maurizio Belfiglio;Barbara Di Nardo
Francesco Baudo;Peter William Collins;Angela Huth-Kuhne;Herve Levesque
Suetonia C. Palmer;Jonathan C. Craig;Sankar D. Navaneethan;Marcello Tonelli
Peter William Collins;Francesco Baudo;Paul Knoebl;Herve Levesque
Maria Trojano;Fabio Pellegrini;Aurora Fuiani;Damiano Paolicelli
Giorgia De Berardis;Giuseppe Lucisano;Antonio D’Ettorre;Fabio Pellegrini
Suetonia C Palmer;Lucia Di Micco;Mona Razavian;Jonathan C Craig
Marco Sperandeo;Vincenzo Carnevale;Silvana Muscarella;Giuseppe Sperandeo
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