Gianpiero D’Offizi
- Epidemiology top 5%
- Infectious Diseases top 2%
- Immunology top 5%
- Hepatology top 1%
- Virology top 1%
- Co-authors
- Giuseppe IppolitoFabrizio PocciaMaria Rosaria CapobianchiChiara AgratiPasquale NarcisoMauro PiacentiniFranca Del NonnoFederico Martini
- Topics
- Hepatitis C virus research (51 papers)HIV Research and Treatment (40 papers)Immune Cell Function and Interaction (27 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Gianpiero D’Offizi
124 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 119
- Epidemiology 758
- Infectious Diseases 757
- Immunology 657
- Hepatology 640
- Virology 638
Countries citing papers authored by Gianpiero D’Offizi
This map shows the geographic impact of Gianpiero D’Offizi'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 Gianpiero D’Offizi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianpiero D’Offizi more than expected).
Fields of papers citing papers by Gianpiero D’Offizi
This network shows the impact of papers produced by Gianpiero D’Offizi. 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 Gianpiero D’Offizi. The network helps show where Gianpiero D’Offizi may publish in the future.
Co-authorship network of co-authors of Gianpiero D’Offizi
This figure shows the co-authorship network connecting the top 25 collaborators of Gianpiero D’Offizi. A scholar is included among the top collaborators of Gianpiero D’Offizi 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 Gianpiero D’Offizi. Gianpiero D’Offizi 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 | 2 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 31 | |
| 7 | 30 | |
| 8 | 0 | |
| 9 | 40 | |
| 10 | Clinical and virological predictors of sustained response with an interferon-based simeprevir regimen for patients with chronic genotype 1 hepatitis C virus infection. | 4 |
| 11 | 11 | |
| 12 | 5 | |
| 13 | 17 | |
| 14 | 50 | |
| 15 | 1 | |
| 16 | 17 | |
| 17 | 67 | |
| 18 | 30 | |
| 19 | 16 | |
| 20 | Studies on the in vitro effects of auto-anti-IgE. Inhibition of total and specific serum IgE detection by a human IgG autoantibody to IgE. | 8 |
About Gianpiero D’Offizi
Gianpiero D’Offizi is a scholar working on Virology, Hepatology and Infectious Diseases, having authored 127 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hepatitis C virus research (51 papers), HIV Research and Treatment (40 papers) and Immune Cell Function and Interaction (27 papers). The work is most often cited by research in Virology (638 citations), Hepatology (640 citations) and Infectious Diseases (757 citations). Gianpiero D’Offizi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Giuseppe Ippolito, Fabrizio Poccia, Maria Rosaria Capobianchi, Chiara Agrati, Pasquale Narciso, Mauro Piacentini, Franca Del Nonno, Federico Martini, Chrysoula Vlassi and Marco Tripodi. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Clinical Infectious Diseases.
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.