F.A. Giannone

2.0k citations
35 papers · 1.1k indexed · h-index 18

Impact in

  • Hepatology top 2%
    • Liver Disease and Transplantation
    • Liver physiology and pathology
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

F.A. Giannone

34 papers receiving 1.1k citations

Peers

F.A. Giannone
Comparison fields: 5 of 94
  • Hepatology 334
  • Cancer Research 205
  • Epidemiology 359
  • Pharmacology 90
  • Pharmacology 166
Replace Zhenghong Li with:
Zhenghong Li China
Yankai Wen China
Lech Chrostek Poland
Edward E. Cable United States
Chihiro Sekiya Japan
Leonardo Baiocchi Italy
Kai Markus Schneider Germany
Xudong Feng China
Ido Laish Israel
F.A. Giannone relative to Zhenghong Li China Zhenghong Li's profile →
Citations per field
00.5×2.6×
Zhenghong Li · 1×
Citations per year

Countries citing papers authored by F.A. Giannone

Since Specialization
Citations

This map shows the geographic impact of F.A. 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 F.A. Giannone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F.A. Giannone more than expected).

Fields of papers citing papers by F.A. Giannone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.A. 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 F.A. Giannone. The network helps show where F.A. Giannone may publish in the future.

Co-authors

The 25 scholars most cited alongside F.A. 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 F.A. Giannone Line = papers co-authored together F.A. Giannone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012148
2 2014129
3 2009103
4 201485
5 201870
6 200960
7 201358
8 201252
9 200944
10 201344
11 201141
12 200935
13 201433
14 201632
15 201326
16 201923
17 201520
18 201317
19 201816
20 201615

About F.A. Giannone

F.A. Giannone is a scholar working on Hepatology, Pathology and Forensic Medicine, Epidemiology, Physiology and Pharmacology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (13 papers), Liver Disease Diagnosis and Treatment (12 papers), Alcohol Consumption and Health Effects (5 papers), Liver physiology and pathology (5 papers), Cannabis and Cannabinoid Research (5 papers), Nutrition and Health in Aging (4 papers), Organ Transplantation Techniques and Outcomes (4 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Hepatology (334 citations), Cancer Research (205 citations), Epidemiology (359 citations), Pharmacology (90 citations) and Pharmacology (166 citations). F.A. Giannone has collaborated with scholars based in Italy, Sudan and United States. Frequent co-authors include Paolo Caraceni, Maurizio Baldassarre, Marco Domenicali, Mauro Bernardi, Carlo Bertucci, Marina Naldi, Maristella Laggetta, Massimo Derenzini, Maurizio Biselli and Davide Treré. Their work appears in journals such as Digestive and Liver Disease, Liver International, Journal of Hepatology, Hepatology and International Journal of Impotence Research.

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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