Elisabetta Pussini
- Hepatology top 2%
- Epidemiology
- Genetics top 10%
- Oncology
- Pathology and Forensic Medicine top 10%
- Co-authors
- Gabriele PozzatoCesare MazzaroM CrovattoPatrizia TulissiGianfranco SantiniÓscar R. BurroneF. FranzinDimitar G. Efremov
- Topics
- Hepatitis C virus research (6 papers)Hepatitis B Virus Studies (3 papers)Chronic Lymphocytic Leukemia Research (3 papers)
- Partner nations
- ItalyUkraineUnited States
In The Last Decade
Elisabetta Pussini
9 papers receiving 430 citations
Peers
Comparison fields: 5 of 41
- Hepatology 319
- Epidemiology 158
- Genetics 145
- Oncology 125
- Pathology and Forensic Medicine 124
Countries citing papers authored by Elisabetta Pussini
This map shows the geographic impact of Elisabetta Pussini'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 Elisabetta Pussini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabetta Pussini more than expected).
Fields of papers citing papers by Elisabetta Pussini
This network shows the impact of papers produced by Elisabetta Pussini. 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 Elisabetta Pussini. The network helps show where Elisabetta Pussini may publish in the future.
Co-authorship network of co-authors of Elisabetta Pussini
This figure shows the co-authorship network connecting the top 25 collaborators of Elisabetta Pussini. A scholar is included among the top collaborators of Elisabetta Pussini 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 Elisabetta Pussini. Elisabetta Pussini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | Peripheral blood neutrophils from hepatitis C virus-infected patients are replication sites of the virus. | 69 |
| 3 | 150 | |
| 4 | 146 | |
| 5 | Hepatitis C virus and non-Hodgkins lymphoma | 5 |
| 6 | 24 | |
| 7 | HCV-RNA Quantitation in serum and liver biopsy by competitive PCR:correlation with severity of the liver disease and with the response to antiviral therapy | 1 |
| 8 | 2 | |
| 9 | Flow cytometric assay for the evaluation of phagocytosis and oxidative burst of polymorphonuclear leukocytes and monocytes in myelodysplastic disorders. | 19 |
About Elisabetta Pussini
Elisabetta Pussini is a scholar working on Hepatology, Genetics and Pathology and Forensic Medicine, having authored 9 papers that have together received 443 indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hepatology (319 citations), Genetics (145 citations) and Pathology and Forensic Medicine (124 citations). Elisabetta Pussini has collaborated with scholars based in Italy, Ukraine and United States. Frequent co-authors include Gabriele Pozzato, Cesare Mazzaro, M Crovatto, Patrizia Tulissi, Gianfranco Santini, Óscar R. Burrone, F. Franzin, Dimitar G. Efremov, Franco Sasso and Roberto Bortolus. Their work appears in journals such as Cancer, British Journal of Haematology and Journal of Internal Medicine.
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.