Roberto Ravasio

90 papers receiving 458 citations

Peers

Roberto Ravasio
Comparison fields: 5 of 84
  • Hardware and Architecture 32
  • Hepatology 28
  • Rheumatology 45
  • Computer Networks and Communications 76
  • Hematology 32
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James E. Brick United States
J.M.A. Burns United Kingdom
Konstantinos A. Oikonomou Greece
Junko Kumagai Japan
Ankur Jain India
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Citations per year

Countries citing papers authored by Roberto Ravasio

Since Specialization
Citations

This map shows the geographic impact of Roberto Ravasio's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Roberto Ravasio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Ravasio more than expected).

Fields of papers citing papers by Roberto Ravasio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Ravasio. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roberto Ravasio. The network helps show where Roberto Ravasio may publish in the future.

Co-authors

The 25 scholars most cited alongside Roberto Ravasio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberto Ravasio Line = papers co-authored together Roberto Ravasio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200662
2 200931
3 200826
4 200724
5
Proposta di linee guida per la valutazione economica degli interventi sanitari
200921
6 200320
7 201618
8 201517
9 200417
10 201217
11 201413
12 201612
13 201111
14 202110
15 201310
16 20069
17
Efficacy, safety and cost per responder of biologics in the treatment of non-radiographic axial spondyloarthritis.
20178
18 20097
19 20087
20 20156

About Roberto Ravasio

Roberto Ravasio is a scholar working on Immunology, Economics and Econometrics, Pulmonary and Respiratory Medicine, Hematology and Psychiatry and Mental health, having authored 112 papers that have together received 496 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (17 papers), Biosimilars and Bioanalytical Methods (13 papers), Pharmaceutical Economics and Policy (10 papers), Rheumatoid Arthritis Research and Therapies (7 papers), Lung Cancer Treatments and Mutations (7 papers), Schizophrenia research and treatment (6 papers), Treatment of Major Depression (6 papers) and Hepatitis C virus research (5 papers). The work is most often cited by research in Hardware and Architecture (32 citations), Hepatology (28 citations), Rheumatology (45 citations), Computer Networks and Communications (76 citations) and Hematology (32 citations). Roberto Ravasio has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Carlo Lucioni, G Chirico, Felicetto Ferrara, Rino Micheloni, Alessia Marelli, Giovanni Di Minno, Mario Guidotti, Ennio Giulio Favalli, S. Mazzi and Luca Degli Esposti. Their work appears in journals such as Value in Health, ClinicoEconomics and Outcomes Research, Advances in Therapy, Journal of Neuromuscular Diseases and Current Medical Research and Opinion.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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