Mauro Giuffrè
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education 10
- Hepatology top 5%
- Liver Disease and Transplantation 18
- Hepatocellular Carcinoma Treatment and Prognosis 4
- Hepatitis C virus research 4
- Gastroenterology top 10%
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment 24
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies 4
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- Machine Learning in Healthcare 7
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- COVID-19 and healthcare impacts 4
- Co-authors
- Dennis ShungLory Saveria CrocèClaudio TiribelliRita MorettiManola ComarStefano Di BellaMichele CampigottoGiuseppina Campisciano
- Journals
- SHILAP Revista de lepidopterología (2 papers)Gastroenterology (3 papers)Clinical Microbiology Reviews (1 paper)
- Partner nations
- ItalyUnited StatesPhilippines
In The Last Decade
Mauro Giuffrè
62 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Health Informatics 143
- Hepatology 207
- Gastroenterology 53
- Epidemiology 334
- Infectious Diseases 149
Countries citing papers authored by Mauro Giuffrè
This map shows the geographic impact of Mauro Giuffrè'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 Mauro Giuffrè with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Giuffrè more than expected).
Fields of papers citing papers by Mauro Giuffrè
This network shows the impact of papers produced by Mauro Giuffrè. 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 Mauro Giuffrè. The network helps show where Mauro Giuffrè may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mauro Giuffrè, 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 | 2025 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 23 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 23 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 9 | |
| 11 | 2023 | 14 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 148 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 13 | |
| 16 | 2022 | 24 | |
| 17 | 2021 | 36 | |
| 18 | 2021 | 7 | |
| 19 | 2020 | 43 | |
| 20 | 2020 | 25 |
About Mauro Giuffrè
Mauro Giuffrè is a scholar working on Health Informatics, Hepatology and Epidemiology, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (24 papers), Liver Disease and Transplantation (18 papers), Artificial Intelligence in Healthcare and Education (10 papers), Machine Learning in Healthcare (7 papers), COVID-19 Clinical Research Studies (4 papers), COVID-19 and healthcare impacts (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Hepatitis C virus research (4 papers). The work is most often cited by research in Health Informatics (143 citations), Hepatology (207 citations) and Gastroenterology (53 citations). Mauro Giuffrè has collaborated with scholars based in Italy, United States and Philippines. Frequent co-authors include Dennis Shung, Lory Saveria Crocè, Claudio Tiribelli, Rita Moretti, Manola Comar, Stefano Di Bella, Michele Campigotto, Giuseppina Campisciano, Flora Masutti and Roberto Luzzati. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and Clinical Microbiology Reviews.
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.