G. Raffa

2.6k citations
30 papers · 2.1k · h-index 17

Impact in

  • Hepatology top 0.5%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis B Virus Studies 22
    • Liver Disease Diagnosis and Treatment 10
    • Hepatitis C virus research 12

G. Raffa

29 papers receiving 2.1k citations

Peers

G. Raffa
Comparison fields: 5 of 62
  • Hepatology 1.2k
  • Epidemiology 1.8k
  • Virology 127
  • Infectious Diseases 154
  • Animal Science and Zoology 56
Replace Zhenchao Gao with:
Zhenchao Gao China
Joerg Petersen Germany
Guangwei Xu China
Patrick Soussan France
Motoko Nagano‐Fujii Japan
L. Vitvitski France
Malika Ait‐Goughoulte France
Katsuyuki Yaginuma Japan
Runu Chakravarty India
Zhanqing Zhang China
G. Raffa relative to Zhenchao Gao China Zhenchao Gao's profile →
Citations per field
00.5×1.5×
Zhenchao Gao · 1×
Citations per year

Countries citing papers authored by G. Raffa

Since Specialization
Citations

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

Fields of papers citing papers by G. Raffa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009408
2 2006383
3 2003362
4 2017139
5 2007134
6 2012113
7 2008106
8 201589
9 201086
10 201351
11 200236
12 201736
13 200134
14 200328
15 201224
16 200721
17 202317
18 200216
19 201612
20 20189

About G. Raffa

G. Raffa is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Surgery and Molecular Biology, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (22 papers), Hepatitis C virus research (12 papers), Liver Disease Diagnosis and Treatment (10 papers), Viral Infections and Immunology Research (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Animal Virus Infections Studies (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Hepatology (1.2k citations), Epidemiology (1.8k citations), Virology (127 citations), Infectious Diseases (154 citations) and Animal Science and Zoology (56 citations). G. Raffa has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Teresa Pollicino, Giovanni Raimondo, Massimo Levrero, Giovanni Squadrito, Laura Belloni, Natalia Pediconi, Francesca Guerrieri, Francesca De Nicola, Maurizio Fanciulli and Irene Cacciola. Their work appears in journals such as Journal of Hepatology, Digestive and Liver Disease, Gastroenterology, Antiviral Therapy and 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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