Chiara Taibi
- Epidemiology
- Hepatology top 5%
- Virology top 10%
- Infectious Diseases
- Molecular Biology
- Co-authors
- Gianpiero D’OffiziUbaldo Visco‐ComandiniMauro PiacentiniAnna Rosa GarbugliaMaria Rosaria CapobianchiFranca Del NonnoGiuseppe IppolitoAndrea Baiocchini
- Topics
- Hepatitis C virus research (29 papers)Hepatitis B Virus Studies (17 papers)Liver Disease Diagnosis and Treatment (11 papers)
- Cited by
- HepatologyVirologyEpidemiology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- ItalyUnited StatesSweden
In The Last Decade
Chiara Taibi
33 papers receiving 260 citations
Peers
Comparison fields: 5 of 60
- Epidemiology 165
- Hepatology 138
- Virology 61
- Infectious Diseases 58
- Molecular Biology 38
Countries citing papers authored by Chiara Taibi
This map shows the geographic impact of Chiara Taibi'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 Chiara Taibi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Taibi more than expected).
Fields of papers citing papers by Chiara Taibi
This network shows the impact of papers produced by Chiara Taibi. 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 Chiara Taibi. The network helps show where Chiara Taibi may publish in the future.
Co-authorship network of co-authors of Chiara Taibi
This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Taibi. A scholar is included among the top collaborators of Chiara Taibi 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 Chiara Taibi. Chiara Taibi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | Hepatitis C diagnosis and treatment in people who use drugs: mind the gap in the linkage to care | 0 |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 47 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | Clinical and virological predictors of sustained response with an interferon-based simeprevir regimen for patients with chronic genotype 1 hepatitis C virus infection. | 4 |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 11 | |
| 16 | 10 | |
| 17 | 11 | |
| 18 | 4 | |
| 19 | 15 | |
| 20 | 67 |
About Chiara Taibi
Chiara Taibi is a scholar working on Hepatology, Virology and Epidemiology, having authored 36 papers that have together received 262 indexed citations. Recurring topics across this work include Hepatitis C virus research (29 papers), Hepatitis B Virus Studies (17 papers) and Liver Disease Diagnosis and Treatment (11 papers). The work is most often cited by research in Hepatology (138 citations), Virology (61 citations) and Epidemiology (165 citations). Chiara Taibi has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Gianpiero D’Offizi, Ubaldo Visco‐Comandini, Mauro Piacentini, Anna Rosa Garbuglia, Maria Rosaria Capobianchi, Franca Del Nonno, Giuseppe Ippolito, Andrea Baiocchini, Laura Falasca and Fabiola Ciccosanti. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.