Roberto Biselli
Impact in
- Rheumatology top 5%
- IgG4-Related and Inflammatory Diseases
- Systemic Lupus Erythematosus Research
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology
Papers in
-
- Viral Infections and Outbreaks Research 7
-
- Hepatitis Viruses Studies and Epidemiology 6
- Co-authors
- Andrea Fattorossi (20 shared papers)Raffaele D’Amelio (36 shared papers)Cristiano Ferlini (12 shared papers)Roberto Nisini (21 shared papers)Paolo Maria Matricardi (10 shared papers)Cesare Bosman (6 shared papers)Renata Boldrini (7 shared papers)Tommaso Stroffolini (8 shared papers)
- Journals
- Vaccine (9 papers)Biomedicines (3 papers)Infection (3 papers)Scandinavian Journal of Immunology (3 papers)Cytometry (3 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Roberto Biselli
74 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 119
- Rheumatology 318
- Hepatology 138
- Virology 79
- Infectious Diseases 305
- Immunology 316
Countries citing papers authored by Roberto Biselli
This map shows the geographic impact of Roberto Biselli'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 Biselli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Biselli more than expected).
Fields of papers citing papers by Roberto Biselli
This network shows the impact of papers produced by Roberto Biselli. 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 Biselli. The network helps show where Roberto Biselli may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Biselli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 124 | |
| 2 | 1996 | 116 | |
| 3 | 2006 | 116 | |
| 4 | 2009 | 100 | |
| 5 | 1992 | 88 | |
| 6 | 1995 | 87 | |
| 7 | 2009 | 83 | |
| 8 | 1992 | 81 | |
| 9 | 1999 | 72 | |
| 10 | 2004 | 54 | |
| 11 | 1993 | 37 | |
| 12 | 1994 | 35 | |
| 13 | 1993 | 34 | |
| 14 | 1999 | 32 | |
| 15 | 1995 | 31 | |
| 16 | 1992 | 29 | |
| 17 | 1993 | 28 | |
| 18 | 1996 | 27 | |
| 19 | 1992 | 25 | |
| 20 | 1992 | 24 |
About Roberto Biselli
Roberto Biselli is a scholar working on Infectious Diseases, Hepatology, Immunology, Epidemiology and Microbiology, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (7 papers), Influenza Virus Research Studies (6 papers), Bacterial Infections and Vaccines (6 papers), Hepatitis Viruses Studies and Epidemiology (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), T-cell and B-cell Immunology (6 papers), Immune Response and Inflammation (5 papers) and Pneumonia and Respiratory Infections (5 papers). The work is most often cited by research in Rheumatology (318 citations), Hepatology (138 citations), Virology (79 citations), Infectious Diseases (305 citations) and Immunology (316 citations). Roberto Biselli has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Andrea Fattorossi, Raffaele D’Amelio, Cristiano Ferlini, Roberto Nisini, Paolo Maria Matricardi, Cesare Bosman, Renata Boldrini, Tommaso Stroffolini, Claudio De Simone and Isabella Donatelli. Their work appears in journals such as Vaccine, Biomedicines, Infection, Scandinavian Journal of Immunology and Cytometry.
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.