Fabio Giannone

754 citations
46 papers · 351 indexed · h-index 10

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation

Papers in

Fabio Giannone

34 papers receiving 347 citations

Peers

Fabio Giannone
Comparison fields: 5 of 48
  • Hepatology 145
  • Transplantation 26
  • Oncology 152
  • Surgery 179
  • Epidemiology 106
Replace Norihiro Kokudo with:
Norihiro Kokudo Japan
Arianna Barbetta United States
Alessandro Germini Italy
K. Thrum Germany
Gilton Marques Fonseca Brazil
Jun Kadono Japan
Katsuyoshi Hatakeyama Japan
Richard S. Whitlock United States
Su Kah Goh Australia
Toshiyuki Natsume Japan
Fabio Giannone relative to Norihiro Kokudo Japan Norihiro Kokudo's profile →
Citations per field
00.5×3.3×
Norihiro Kokudo · 1×
Citations per year

Countries citing papers authored by Fabio Giannone

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Fabio Giannone Line = papers co-authored together Fabio Giannone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201956
2 202139
3 201533
4 202124
5 201521
6 201821
7 202220
8 201919
9 201719
10 202212
11 20239
12 20248
13 20228
14 20197
15 20167
16 20236
17 20205
18 20235
19 20244
20 20233

About Fabio Giannone

Fabio Giannone is a scholar working on Hepatology, Transplantation, Oncology, Surgery and Epidemiology, having authored 46 papers that have together received 351 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (17 papers), Hepatocellular Carcinoma Treatment and Prognosis (16 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (10 papers), Liver Disease Diagnosis and Treatment (8 papers), Neuroendocrine Tumor Research Advances (5 papers), Pancreatitis Pathology and Treatment (4 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Liver Disease and Transplantation (4 papers). The work is most often cited by research in Hepatology (145 citations), Transplantation (26 citations), Oncology (152 citations), Surgery (179 citations) and Epidemiology (106 citations). Fabio Giannone has collaborated with scholars based in Italy, France and Switzerland. Frequent co-authors include Patrick Pessaux, Emanuele Felli, Pietro Mascagni, Fabrizio Panaro, Francesca Ratti, Federica Cipriani, Marco Schiavo Lena, Massimo Falconi, Luca Aldrighetti and Olivia Sgarbură. Their work appears in journals such as Annals of Surgical Oncology, HPB, Cancers, JHEP Reports and Journal of Hepatology.

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.

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