F.A. Giannone

2.0k citations
34 papers · 1.2k · 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

    • Liver Disease and Transplantation 7
    • Liver physiology and pathology 4
    • Liver Disease Diagnosis and Treatment 7

F.A. Giannone

33 papers receiving 1.1k citations

Peers

F.A. Giannone
Comparison fields: 5 of 86
  • Hepatology 278
  • Cancer Research 183
  • Pharmacology 157
  • Epidemiology 272
  • Pharmacology 70
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Edward E. Cable United States
Lech Chrostek Poland
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Citations per field
00.5×4.0×
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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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012151
2 2014129
3 2009103
4 201485
5 201870
6 200961
7 201359
8 201253
9 201345
10 200944
11 201141
12 200935
13 201433
14 201632
15 201326
16 201923
17 201521
18 201317
19 201817
20 201615

About F.A. Giannone

F.A. Giannone is a scholar working on Hepatology, Epidemiology, Molecular Biology, Pathology and Forensic Medicine and Physiology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Liver Disease and Transplantation (7 papers), Cannabis and Cannabinoid Research (5 papers), Liver physiology and pathology (4 papers), Alcohol Consumption and Health Effects (4 papers), Nutrition and Health in Aging (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Hepatology (278 citations), Cancer Research (183 citations), Pharmacology (157 citations), Epidemiology (272 citations) and Pharmacology (70 citations). F.A. Giannone has collaborated with scholars based in Italy, Sudan and Maldives. Frequent co-authors include Paolo Caraceni, Maurizio Baldassarre, Marco Domenicali, Mauro Bernardi, Carlo Bertucci, Marina Naldi, Maristella Laggetta, Davide Treré, Massimo Derenzini and Maurizio Biselli. 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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