Fabio Giannone

824 citations
47 papers · 382 · h-index 11

Impact in

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

Papers in

    • Pancreatic and Hepatic Oncology Research 14
    • Hepatocellular Carcinoma Treatment and Prognosis 15
    • Liver Disease and Transplantation 3

Fabio Giannone

36 papers receiving 377 citations

Peers

Fabio Giannone
Comparison fields: 5 of 46
  • Hepatology 133
  • Transplantation 20
  • Oncology 99
  • Surgery 99
  • Epidemiology 74
Replace Akihiko Ichida with:
Akihiko Ichida Japan
Norihiro Kokudo Japan
Wei Rao China
Alessandro Germini Italy
Kwangho Yang South Korea
Taylor K. Blair United States
Phillipe Abreu United States
Mansoor Madanur United Kingdom
Pascale Tinguely Switzerland
Laura E. Moreno-Luna United States
Fabio Giannone relative to Akihiko Ichida Japan Akihiko Ichida's profile →
Citations per field
00.5×2×3×4×
Akihiko Ichida · 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201958
2 202144
3 201535
4 202124
5 201523
6 201722
7 202222
8 201921
9 201821
10 202215
11 202311
12 202210
13 20249
14 20247
15 20167
16 20197
17 20236
18 20205
19 20235
20 20233

About Fabio Giannone

Fabio Giannone is a scholar working on Oncology, Hepatology, Surgery, Epidemiology and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 382 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Pancreatic and Hepatic Oncology Research (14 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Cancer Genomics and Diagnostics (3 papers), Liver Disease and Transplantation (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Hepatology (133 citations), Transplantation (20 citations), Oncology (99 citations), Surgery (99 citations) and Epidemiology (74 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, Massimo Falconi, Federica Cipriani, Caterina Cusumano, Stefano Partelli, Luca Aldrighetti and Francesca Ratti. Their work appears in journals such as Annals of Surgical Oncology, HPB, Cancers, Pancreatology 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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