D. Cavallone

2.0k citations
40 papers · 1.5k · h-index 17

Impact in

  • Hepatology top 1%
    • 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 17
    • Liver Disease Diagnosis and Treatment 8
    • Hepatitis C virus research 10
    • Hepatocellular Carcinoma Treatment and Prognosis 2

D. Cavallone

40 papers receiving 1.5k citations

Peers

D. Cavallone
Comparison fields: 5 of 94
  • Hepatology 492
  • Epidemiology 782
  • Nephrology 157
  • Cancer Research 103
  • Immunology 136
Replace John O. Phillips with:
John O. Phillips United States
Sukanta Das India
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C. Levene Israel
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J Fujimoto Japan
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Citations per field
00.5×10×12.8×
John O. Phillips · 1×
Citations per year

Countries citing papers authored by D. Cavallone

Since Specialization
Citations

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

Fields of papers citing papers by D. Cavallone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010314
2 2003291
3 2014169
4 2018115
5 200176
6 201258
7 201750
8 201550
9 200549
10 199749
11 201440
12 200332
13 201328
14 201827
15 201725
16 202122
17 199922
18 201716
19 202016
20 202210

About D. Cavallone

D. Cavallone is a scholar working on Epidemiology, Hepatology, Molecular Biology, Cancer Research and Nephrology, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (17 papers), Hepatitis C virus research (10 papers), Liver Disease Diagnosis and Treatment (8 papers), Glycosylation and Glycoproteins Research (3 papers), MicroRNA in disease regulation (3 papers), RNA Interference and Gene Delivery (2 papers), CAR-T cell therapy research (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Hepatology (492 citations), Epidemiology (782 citations), Nephrology (157 citations), Cancer Research (103 citations) and Immunology (136 citations). D. Cavallone has collaborated with scholars based in Italy, China and United States. Frequent co-authors include Franca Serafini‐Cessi, Nadia Malagolini, Maurizia Rossana Brunetto, Ferruccio Bonino, F. Moriconi, Filippo Oliveri, B. Coco, P. Colombatto, P. Ciccorossi and V. Romagnoli. Their work appears in journals such as Digestive and Liver Disease, Journal of Hepatology, PLoS ONE, Alimentary Pharmacology & Therapeutics and Gastroenterology.

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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