Massimo Fiorilli
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Immunology top 2%
- Immunodeficiency and Autoimmune Disorders
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Immunology 63
- Immune Cell Function and Interaction 29
- Immunodeficiency and Autoimmune Disorders 28
- T-cell and B-cell Immunology 19
- Hepatology 20
- Hepatitis C virus research 20
- Co-authors
- Maurizio CarbonariF AiutiMilvia CasatoMarcella VisentiniIsabella QuintiMarina CibatiGiandomenico RussoRoberto Paganelli
- Journals
- Blood (10 papers)Journal of Clinical Immunology (7 papers)The Journal of Immunology (4 papers)Clinical & Experimental Immunology (3 papers)The Lancet (3 papers)
- Partner nations
- ItalyUnited StatesSweden
In The Last Decade
Massimo Fiorilli
115 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 97
- Hepatology 539
- Immunology 1.1k
- Virology 198
- Genetics 348
- Rheumatology 328
Countries citing papers authored by Massimo Fiorilli
This map shows the geographic impact of Massimo Fiorilli'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 Massimo Fiorilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Fiorilli more than expected).
Fields of papers citing papers by Massimo Fiorilli
This network shows the impact of papers produced by Massimo Fiorilli. 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 Massimo Fiorilli. The network helps show where Massimo Fiorilli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Fiorilli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2020 | 9 | |
| 3 | 2015 | 46 | |
| 4 | 2014 | 17 | |
| 5 | MEFV, TNFRSF1A and CARD15 mutation analysis in Behçet's disease. | 2011 | 9 |
| 6 | 2011 | 8 | |
| 7 | 2011 | 190 | |
| 8 | 2010 | 4 | |
| 9 | 2007 | 41 | |
| 10 | 2003 | 25 | |
| 11 | 2003 | 8 | |
| 12 | 2001 | 6 | |
| 13 | 2001 | 21 | |
| 14 | 1996 | 7 | |
| 15 | 1995 | 27 | |
| 16 | 1995 | 85 | |
| 17 | 1994 | 6 | |
| 18 | 1990 | 92 | |
| 19 | 1981 | 2 | |
| 20 | Effect of thymus factor on human precursor T lymphocytes | 1975 | 21 |
About Massimo Fiorilli
Massimo Fiorilli is a scholar working on Immunology, Hepatology, Genetics, Virology and Rheumatology, having authored 118 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (29 papers), Immunodeficiency and Autoimmune Disorders (28 papers), Chronic Lymphocytic Leukemia Research (22 papers), Hepatitis C virus research (20 papers), T-cell and B-cell Immunology (19 papers), Cytomegalovirus and herpesvirus research (11 papers), Diabetes and associated disorders (10 papers) and Systemic Lupus Erythematosus Research (7 papers). The work is most often cited by research in Hepatology (539 citations), Immunology (1.1k citations), Virology (198 citations), Genetics (348 citations) and Rheumatology (328 citations). Massimo Fiorilli has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Maurizio Carbonari, F Aiuti, Milvia Casato, Marcella Visentini, Isabella Quinti, Marina Cibati, Giandomenico Russo, Roberto Paganelli, Enrico Scala and Franco Pandolfi. Their work appears in journals such as Blood, Journal of Clinical Immunology, The Journal of Immunology, Clinical & Experimental Immunology and The Lancet.
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.