Paola Fisicaro
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Epidemiology top 1%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Immunology 25
- Immune Cell Function and Interaction 14
- Epidemiology 23
- Hepatitis B Virus Studies 20
- Co-authors
- Carlo Ferrari (31 shared papers)Gabriele Missale (31 shared papers)Carolina Boni (26 shared papers)Caterina Valdatta (6 shared papers)Barbara Amadei (10 shared papers)Alessandro Zerbini (5 shared papers)T. Giuberti (7 shared papers)Diletta Laccabue (11 shared papers)
In The Last Decade
Paola Fisicaro
100 papers receiving 3.9k citations
Paola Fisicaro's Hit Papers
Peers
Comparison fields: 5 of 138
- Hepatology 1.3k
- Epidemiology 2.0k
- Immunology 1.2k
- Virology 199
- Infectious Diseases 430
Countries citing papers authored by Paola Fisicaro
This map shows the geographic impact of Paola Fisicaro'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 Paola Fisicaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Fisicaro more than expected).
Fields of papers citing papers by Paola Fisicaro
This network shows the impact of papers produced by Paola Fisicaro. 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 Paola Fisicaro. The network helps show where Paola Fisicaro may publish in the future.
Co-authors
The 25 scholars most cited alongside Paola Fisicaro, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Characterization of Hepatitis B Virus (HBV)-Specific T-Cell Dysfunction in Chronic HBV Infection Hit paper breakdown → | 2007 | 748 |
| 2 | 2009 | 411 | |
| 3 | 2017 | 262 | |
| 4 | 2009 | 231 | |
| 5 | 2006 | 152 | |
| 6 | 2010 | 148 | |
| 7 | 2005 | 111 | |
| 8 | 2020 | 107 | |
| 9 | 2008 | 106 | |
| 10 | 2012 | 104 | |
| 11 | 2008 | 96 | |
| 12 | 2015 | 72 | |
| 13 | 2010 | 69 | |
| 14 | 2009 | 67 | |
| 15 | 1997 | 65 | |
| 16 | 2005 | 49 | |
| 17 | 2015 | 48 | |
| 18 | 1996 | 44 | |
| 19 | 2015 | 44 | |
| 20 | 2019 | 43 |
About Paola Fisicaro
Paola Fisicaro is a scholar working on Immunology, Epidemiology, Health, Toxicology and Mutagenesis, Hepatology and Bioengineering, having authored 105 papers that have together received 4.0k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (20 papers), Hepatitis C virus research (15 papers), Immune Cell Function and Interaction (14 papers), Analytical Chemistry and Sensors (12 papers), Nanoparticles: synthesis and applications (10 papers), Selenium in Biological Systems (9 papers), Chemical and Physical Properties in Aqueous Solutions (8 papers) and Trace Elements in Health (8 papers). The work is most often cited by research in Hepatology (1.3k citations), Epidemiology (2.0k citations), Immunology (1.2k citations), Virology (199 citations) and Infectious Diseases (430 citations). Paola Fisicaro has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Carlo Ferrari, Gabriele Missale, Carolina Boni, Caterina Valdatta, Barbara Amadei, Alessandro Zerbini, T. Giuberti, Diletta Laccabue, Antonio Bertoletti and Marco Massari. Their work appears in journals such as Accreditation and Quality Assurance, Hepatology, Journal of Hepatology, Gastroenterology and Analytical and Bioanalytical Chemistry.
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.