Giancarlo Icardi
- Epidemiology top 0.5%
- Influenza Virus Research Studies 69
- Respiratory viral infections research 65
- Pneumonia and Respiratory Infections 40
- Hepatitis B Virus Studies 20
- Hepatology top 2%
- Hepatitis C virus research 25
- Health top 1%
- Vaccine Coverage and Hesitancy 33
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research 31
- Microbiology top 1%
- Bacterial Infections and Vaccines 22
- Co-authors
- Filippo AnsaldiPaolo DurandoAndrea OrsiRoberto GaspariniBianca BruzzoneLaura SticchiCristiano AlicinoDonatella Panatto
- Cited by
- EpidemiologyHepatologyHealth
- Journals
- SHILAP Revista de lepidopterología (1 paper)The Journal of Immunology (1 paper)PLoS ONE (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Giancarlo Icardi
231 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 151
- Epidemiology 2.8k
- Hepatology 527
- Health 539
- Infectious Diseases 1.0k
- Microbiology 290
Countries citing papers authored by Giancarlo Icardi
This map shows the geographic impact of Giancarlo Icardi'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 Giancarlo Icardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giancarlo Icardi more than expected).
Fields of papers citing papers by Giancarlo Icardi
This network shows the impact of papers produced by Giancarlo Icardi. 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 Giancarlo Icardi. The network helps show where Giancarlo Icardi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giancarlo Icardi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 3 | |
| 14 | 2020 | 34 | |
| 15 | 2020 | 15 | |
| 16 | 2020 | 25 | |
| 17 | 2019 | 36 | |
| 18 | 2019 | 28 | |
| 19 | Genetic polymorphisms of IL28b gene as predictors of response to dual therapy in genotypes 1 and 4-HCV and HIV/HCV-infected patients. | 2015 | 0 |
| 20 | Immunogenicity profile of a 3.75-Ug hemagglutinin pandemic rH5N1 split virion As03A-adjuvanted vaccine in elderly persons : a randomized trial | 2011 | 3 |
About Giancarlo Icardi
Giancarlo Icardi is a scholar working on Epidemiology, Infectious Diseases and Hepatology, having authored 238 papers that have together received 4.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (69 papers), Respiratory viral infections research (65 papers), Pneumonia and Respiratory Infections (40 papers), Vaccine Coverage and Hesitancy (33 papers), SARS-CoV-2 and COVID-19 Research (31 papers), Hepatitis C virus research (25 papers), Bacterial Infections and Vaccines (22 papers) and Hepatitis B Virus Studies (20 papers). The work is most often cited by research in Epidemiology (2.8k citations), Hepatology (527 citations) and Health (539 citations). Giancarlo Icardi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Filippo Ansaldi, Paolo Durando, Andrea Orsi, Roberto Gasparini, Bianca Bruzzone, Laura Sticchi, Cristiano Alicino, Donatella Panatto, Daniela Amicizia and Cecilia Trucchi. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.
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.