Michela Pasino
- Epidemiology top 10%
- Hepatology top 2%
- Hematology top 10%
- Pathology and Forensic Medicine
- Genetics top 10%
- Co-authors
- Giovanna FattovichFrancesco DonatoMirko D’OnofrioEnrico MartoneN. OlivariDonatella IeluzziPierluigi ToniuttoMario Pirisi
- Topics
- Hepatitis C virus research (12 papers)Liver Disease Diagnosis and Treatment (11 papers)Hepatitis B Virus Studies (10 papers)
- Cited by
- HepatologyEpidemiologyHematology
- Journals
- HepatologyGutJournal of Hepatology
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Michela Pasino
16 papers receiving 610 citations
Peers
Comparison fields: 5 of 46
- Epidemiology 437
- Hepatology 411
- Hematology 109
- Pathology and Forensic Medicine 97
- Genetics 87
Countries citing papers authored by Michela Pasino
This map shows the geographic impact of Michela Pasino'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 Michela Pasino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michela Pasino more than expected).
Fields of papers citing papers by Michela Pasino
This network shows the impact of papers produced by Michela Pasino. 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 Michela Pasino. The network helps show where Michela Pasino may publish in the future.
Co-authorship network of co-authors of Michela Pasino
This figure shows the co-authorship network connecting the top 25 collaborators of Michela Pasino. A scholar is included among the top collaborators of Michela Pasino 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 Michela Pasino. Michela Pasino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 55 | |
| 3 | 2 | |
| 4 | 115 | |
| 5 | 1 | |
| 6 | 54 | |
| 7 | 29 | |
| 8 | 137 | |
| 9 | Insulin resistance is not a relevant predictor of sustained virologic response in chronic hepatitis C patients: results from the Italian hepatitis C cohort study (ITAHECS) collaborative group | 1 |
| 10 | Natural history of chronic hepatitis B | 2 |
| 11 | 189 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | Liver stellate cells and aminoterminal peptide of type III procollagen in chronic hepatitis C treated with interferon. | 5 |
| 15 | 5 | |
| 16 | [Alloalbuminemia (bisalbuminemia) of the slow type]. | 3 |
About Michela Pasino
Michela Pasino is a scholar working on Hepatology, Epidemiology and Nephrology, having authored 16 papers that have together received 623 indexed citations. Recurring topics across this work include Hepatitis C virus research (12 papers), Liver Disease Diagnosis and Treatment (11 papers) and Hepatitis B Virus Studies (10 papers). The work is most often cited by research in Hepatology (411 citations), Epidemiology (437 citations) and Hematology (109 citations). Michela Pasino has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Giovanna Fattovich, Francesco Donato, Mirko D’Onofrio, Enrico Martone, N. Olivari, Donatella Ieluzzi, Pierluigi Toniutto, Mario Pirisi, Annarosa Cussigh and Erica Villa. Their work appears in journals such as Hepatology, Gut 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.