Fabio Giannone
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Transplantation top 10%
Papers in
- Hepatology 23
- Hepatocellular Carcinoma Treatment and Prognosis 21
- Liver Disease and Transplantation 3
- Oncology 29
- Pancreatic and Hepatic Oncology Research 23
- Co-authors
- Patrick Pessaux (18 shared papers)Emanuele Felli (10 shared papers)Fabrizio Panaro (15 shared papers)Pietro Mascagni (1 shared paper)Massimo Falconi (10 shared papers)Francesca Ratti (2 shared papers)Stefano Partelli (7 shared papers)Federica Cipriani (3 shared papers)
- Journals
- Annals of Surgical Oncology (9 papers)HPB (7 papers)Annals of Surgery (5 papers)Cancers (3 papers)Updates in Surgery (3 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Fabio Giannone
58 papers receiving 558 citations
Peers
Comparison fields: 5 of 58
- Hepatology 168
- Transplantation 20
- Oncology 170
- Surgery 153
- Epidemiology 92
Countries citing papers authored by Fabio Giannone
This map shows the geographic impact of Fabio Giannone'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 Fabio Giannone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Giannone more than expected).
Fields of papers citing papers by Fabio Giannone
This network shows the impact of papers produced by Fabio Giannone. 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 Fabio Giannone. The network helps show where Fabio Giannone may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabio Giannone, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 64 | |
| 2 | 2021 | 48 | |
| 3 | 2015 | 36 | |
| 4 | 2023 | 34 | |
| 5 | 2021 | 26 | |
| 6 | 2022 | 25 | |
| 7 | 2017 | 24 | |
| 8 | 2015 | 23 | |
| 9 | 2019 | 23 | |
| 10 | 2018 | 22 | |
| 11 | 2022 | 22 | |
| 12 | 2021 | 20 | |
| 13 | 2022 | 18 | |
| 14 | 2022 | 16 | |
| 15 | 2024 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2023 | 12 | |
| 18 | 2016 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2024 | 8 |
About Fabio Giannone
Fabio Giannone is a scholar working on Hepatology, Oncology, Surgery, Cancer Research and Epidemiology, having authored 68 papers that have together received 568 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (23 papers), Hepatocellular Carcinoma Treatment and Prognosis (21 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (14 papers), Cancer Genomics and Diagnostics (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Organ Transplantation Techniques and Outcomes (3 papers), Liver Disease and Transplantation (3 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Hepatology (168 citations), Transplantation (20 citations), Oncology (170 citations), Surgery (153 citations) and Epidemiology (92 citations). Fabio Giannone has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Patrick Pessaux, Emanuele Felli, Fabrizio Panaro, Pietro Mascagni, Massimo Falconi, Francesca Ratti, Stefano Partelli, Federica Cipriani, Luca Antonio Aldrighetti and Marco Schiavo Lena. Their work appears in journals such as Annals of Surgical Oncology, HPB, Annals of Surgery, Cancers and Updates in Surgery.
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.