Giovanni Tarantino

6.4k citations
148 papers · 4.9k indexed · 2 hit papers · h-index 43

Giovanni Tarantino

147 papers receiving 4.8k citations

Hit Papers

Sarcopenia, a condition shared by various diseases: ...79202120262022202450100150

Peers

Giovanni Tarantino
Comparison fields: 5 of 157
  • Hepatology 955
  • Epidemiology 2.7k
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Pharmacology 354
  • Transplantation 88
Replace Suthat Liangpunsakul with:
Suthat Liangpunsakul United States
Marcello Persico Italy
Takumi Kawaguchi Japan
Saul J. Karpen United States
Hyun Chul Lee South Korea
Roberto Testa Italy
Jörn M. Schattenberg Germany
Frank A. Anania United States
Byung‐Wan Lee South Korea
Helena Cortez‐Pinto Portugal
Giovanni Tarantino relative to Suthat Liangpunsakul United States Suthat Liangpunsakul's profile →
Citations per field
00.5×1.6×
Suthat Liangpunsakul · 1×
Citations per year

Countries citing papers authored by Giovanni Tarantino

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Tarantino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giovanni Tarantino. 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 Giovanni Tarantino. The network helps show where Giovanni Tarantino may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20242
4 202417
5 20232
6 20232
7 20238
8 20239
9 202222
10 20145
11 201376
12 201235
13 201247
14 20116
15 2011123
16 20093
17 200822
18 200719
19 20066
20 200615

About Giovanni Tarantino

Giovanni Tarantino is a scholar working on Hepatology, Transplantation and Epidemiology, having authored 148 papers that have together received 4.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (79 papers), Diet, Metabolism, and Disease (25 papers), Hepatitis C virus research (18 papers), Liver Disease and Transplantation (18 papers), Diet and metabolism studies (13 papers), Adipose Tissue and Metabolism (10 papers), Alcohol Consumption and Health Effects (10 papers) and Cardiovascular Disease and Adiposity (9 papers). The work is most often cited by research in Hepatology (955 citations), Epidemiology (2.7k citations) and Endocrinology, Diabetes and Metabolism (1.2k citations). Giovanni Tarantino has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Domênico Capone, Carmine Finelli, Vincenzo Citro, Paolo Conca, Clara Balsano, Matteo Nicola Dario Di Minno, Fabrizio Pasanisi, Marianna Tarantino, Paolo Sorrentino and Silvia Savastano. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

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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