Sabrina Bagaglio
- Hepatology top 2%
- Epidemiology top 10%
- Infectious Diseases top 10%
- Virology top 10%
- Molecular Biology
- Co-authors
- Giulia MorsicaCaterina Uberti‐FoppaAdriano LazzarinHamid HassonMaria Stella De MitriEmanuela MessinaMauro BernardiLaura Galli
- Topics
- Hepatitis C virus research (39 papers)Hepatitis B Virus Studies (24 papers)Liver Disease Diagnosis and Treatment (17 papers)
- Cited by
- HepatologyVirologyEpidemiology
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Sabrina Bagaglio
46 papers receiving 483 citations
Peers
Comparison fields: 5 of 64
- Hepatology 374
- Epidemiology 343
- Infectious Diseases 152
- Virology 51
- Molecular Biology 45
Countries citing papers authored by Sabrina Bagaglio
This map shows the geographic impact of Sabrina Bagaglio'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 Sabrina Bagaglio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabrina Bagaglio more than expected).
Fields of papers citing papers by Sabrina Bagaglio
This network shows the impact of papers produced by Sabrina Bagaglio. 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 Sabrina Bagaglio. The network helps show where Sabrina Bagaglio may publish in the future.
Co-authorship network of co-authors of Sabrina Bagaglio
This figure shows the co-authorship network connecting the top 25 collaborators of Sabrina Bagaglio. A scholar is included among the top collaborators of Sabrina Bagaglio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sabrina Bagaglio. Sabrina Bagaglio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 11 | |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 8 | |
| 9 | 19 | |
| 10 | 12 | |
| 11 | 12 | |
| 12 | 50 | |
| 13 | 17 | |
| 14 | 8 | |
| 15 | 24 | |
| 16 | 6 | |
| 17 | Genetic heterogeneity of hepatitis C virus (HCV) in clinical strains of HIV positive and HIV negative patients chronically infected with HCV genotype 3a. | 9 |
| 18 | Sequence analysis of NS3 protease gene in clinical strains of hepatitis C virus. | 10 |
| 19 | 16 | |
| 20 | 5 |
About Sabrina Bagaglio
Sabrina Bagaglio is a scholar working on Hepatology, Virology and Infectious Diseases, having authored 50 papers that have together received 494 indexed citations. Recurring topics across this work include Hepatitis C virus research (39 papers), Hepatitis B Virus Studies (24 papers) and Liver Disease Diagnosis and Treatment (17 papers). The work is most often cited by research in Hepatology (374 citations), Virology (51 citations) and Epidemiology (343 citations). Sabrina Bagaglio has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Giulia Morsica, Caterina Uberti‐Foppa, Adriano Lazzarin, Hamid Hasson, Maria Stella De Mitri, Emanuela Messina, Mauro Bernardi, Laura Galli, Marco Merli and Antonella Castagna. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of 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.