Daniela Cavallone
Impact in
- Epidemiology top 2%
- Hepatitis B Virus Studies
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Gout, Hyperuricemia, Uric Acid
Papers in
- Epidemiology 27
- Hepatitis B Virus Studies 25
- Hepatology 12
- Hepatocellular Carcinoma Treatment and Prognosis 9
- Hepatitis C virus research 4
- Co-authors
- Franca Serafini‐Cessi (7 shared papers)Nadia Malagolini (6 shared papers)Maurizia Rossana Brunetto (35 shared papers)Ferruccio Bonino (29 shared papers)Francesco Moriconi (15 shared papers)Filippo Oliveri (21 shared papers)Barbara Agata Coco (16 shared papers)Piero Colombatto (20 shared papers)
- Journals
- Digestive and Liver Disease (9 papers)Journal of Hepatology (4 papers)Alimentary Pharmacology & Therapeutics (3 papers)Gastroenterology (3 papers)PLoS ONE (3 papers)
- Partner nations
- ItalyUnited StatesChina
In The Last Decade
Daniela Cavallone
46 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 71
- Epidemiology 969
- Nephrology 227
- Hepatology 138
- Cancer Research 88
- Endocrinology 25
Countries citing papers authored by Daniela Cavallone
This map shows the geographic impact of Daniela 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 Daniela Cavallone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Cavallone more than expected).
Fields of papers citing papers by Daniela Cavallone
This network shows the impact of papers produced by Daniela 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 Daniela Cavallone. The network helps show where Daniela Cavallone may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Cavallone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 330 | |
| 2 | 2003 | 294 | |
| 3 | 2014 | 184 | |
| 4 | 2018 | 126 | |
| 5 | 2019 | 117 | |
| 6 | 2001 | 75 | |
| 7 | 2012 | 59 | |
| 8 | 2017 | 56 | |
| 9 | 2015 | 55 | |
| 10 | 2005 | 51 | |
| 11 | 1997 | 50 | |
| 12 | 2014 | 40 | |
| 13 | 2009 | 37 | |
| 14 | 2003 | 32 | |
| 15 | 2018 | 30 | |
| 16 | 2013 | 29 | |
| 17 | 2017 | 28 | |
| 18 | 2021 | 28 | |
| 19 | 2020 | 23 | |
| 20 | 1999 | 20 |
About Daniela Cavallone
Daniela Cavallone is a scholar working on Epidemiology, Hepatology, Nephrology, Cancer Research and Oncology, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (25 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Renal Diseases and Glomerulopathies (4 papers), Hepatitis C virus research (4 papers), MicroRNA in disease regulation (3 papers), CAR-T cell therapy research (3 papers), Glycosylation and Glycoproteins Research (3 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Epidemiology (969 citations), Nephrology (227 citations), Hepatology (138 citations), Cancer Research (88 citations) and Endocrinology (25 citations). Daniela Cavallone has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Franca Serafini‐Cessi, Nadia Malagolini, Maurizia Rossana Brunetto, Ferruccio Bonino, Francesco Moriconi, Filippo Oliveri, Barbara Agata Coco, Piero Colombatto, Pietro Ciccorossi and Veronica Romagnoli. Their work appears in journals such as Digestive and Liver Disease, Journal of Hepatology, Alimentary Pharmacology & Therapeutics, Gastroenterology and PLoS ONE.
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.