Roberto Bruni
Impact in
- Hepatology top 1%
- Hepatitis Viruses Studies and Epidemiology
- Liver Disease and Transplantation
- Hepatitis C virus research
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
Papers in
- Hepatology 59
- Hepatitis Viruses Studies and Epidemiology 42
- Hepatitis C virus research 19
- Liver Disease and Transplantation 11
- Epidemiology 30
- Hepatitis B Virus Studies 27
- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Anna Rita Ciccaglione (66 shared papers)Michele Equestre (37 shared papers)Stefania Taffon (24 shared papers)Giuseppina La Rosa (12 shared papers)Giulio Pisani (24 shared papers)Umbertina Villano (28 shared papers)M. Iaconelli (10 shared papers)Cinzia Marcantonio (20 shared papers)
In The Last Decade
Roberto Bruni
78 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 73
- Hepatology 775
- Infectious Diseases 560
- Epidemiology 321
- Endocrinology 39
- Small Animals 45
Countries citing papers authored by Roberto Bruni
This map shows the geographic impact of Roberto Bruni'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 Bruni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Bruni more than expected).
Fields of papers citing papers by Roberto Bruni
This network shows the impact of papers produced by Roberto Bruni. 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 Bruni. The network helps show where Roberto Bruni may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Bruni, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 71 | |
| 2 | 2015 | 66 | |
| 3 | 2016 | 64 | |
| 4 | 2018 | 53 | |
| 5 | 2017 | 41 | |
| 6 | 2018 | 36 | |
| 7 | 2013 | 33 | |
| 8 | 2020 | 32 | |
| 9 | 2012 | 31 | |
| 10 | 2015 | 30 | |
| 11 | 2018 | 29 | |
| 12 | 1995 | 29 | |
| 13 | 2014 | 27 | |
| 14 | 2014 | 27 | |
| 15 | 2011 | 22 | |
| 16 | 2021 | 20 | |
| 17 | 2013 | 20 | |
| 18 | 1999 | 20 | |
| 19 | 2014 | 20 | |
| 20 | 2014 | 20 |
About Roberto Bruni
Roberto Bruni is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 83 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (42 papers), Hepatitis B Virus Studies (27 papers), Viral gastroenteritis research and epidemiology (21 papers), Hepatitis C virus research (19 papers), Liver Disease and Transplantation (11 papers), Animal Virus Infections Studies (7 papers), Viral Infections and Immunology Research (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Hepatology (775 citations), Infectious Diseases (560 citations), Epidemiology (321 citations), Endocrinology (39 citations) and Small Animals (45 citations). Roberto Bruni has collaborated with scholars based in Italy, Bulgaria and Tunisia. Frequent co-authors include Anna Rita Ciccaglione, Michele Equestre, Stefania Taffon, Giuseppina La Rosa, Giulio Pisani, Umbertina Villano, M. Iaconelli, Cinzia Marcantonio, Elisabetta Madonna and Roberto Giuseppetti. Their work appears in journals such as Eurosurveillance, BMC Infectious Diseases, Journal of Medical Virology, Viruses and Virology.
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.