Federica Pinardi
- Epidemiology top 10%
- Infectious Diseases top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Animal Science and Zoology top 10%
- Co-authors
- Carlo ChezziFlora De ContoMaria Cristina ArcangelettiAdriana CalderaroMaria Cristina MediciG. DettoriMonica MartinelliSergey V. Razin
- Topics
- Viral gastroenteritis research and epidemiology (7 papers)Virus-based gene therapy research (7 papers)Respiratory viral infections research (4 papers)
In The Last Decade
Federica Pinardi
22 papers receiving 546 citations
Peers
Comparison fields: 5 of 81
- Epidemiology 280
- Infectious Diseases 215
- Molecular Biology 139
- Cardiology and Cardiovascular Medicine 71
- Animal Science and Zoology 62
Countries citing papers authored by Federica Pinardi
This map shows the geographic impact of Federica Pinardi'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 Federica Pinardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Pinardi more than expected).
Fields of papers citing papers by Federica Pinardi
This network shows the impact of papers produced by Federica Pinardi. 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 Federica Pinardi. The network helps show where Federica Pinardi may publish in the future.
Co-authorship network of co-authors of Federica Pinardi
This figure shows the co-authorship network connecting the top 25 collaborators of Federica Pinardi. A scholar is included among the top collaborators of Federica Pinardi 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 Federica Pinardi. Federica Pinardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 49 | |
| 4 | 15 | |
| 5 | 40 | |
| 6 | Emergence of novel recombinant GII.P16_GII.2 and GII. P16_GII.4 Sydney 2012 norovirus strains in Italy, winter 2016/2017. | 27 |
| 7 | 23 | |
| 8 | 10 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 23 | |
| 12 | 65 | |
| 13 | 84 | |
| 14 | 24 | |
| 15 | 18 | |
| 16 | 19 | |
| 17 | Cytoskeleton involvement during human cytomegalovirus replicative cycle in human embryo fibroblasts. | 12 |
| 18 | 35 | |
| 19 | 21 | |
| 20 | 41 |
About Federica Pinardi
Federica Pinardi is a scholar working on Infectious Diseases, Hepatology and Epidemiology, having authored 24 papers that have together received 557 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (7 papers), Virus-based gene therapy research (7 papers) and Respiratory viral infections research (4 papers). The work is most often cited by research in Infectious Diseases (215 citations), Epidemiology (280 citations) and Hepatology (52 citations). Federica Pinardi has collaborated with scholars based in Italy, France and Russia. Frequent co-authors include Carlo Chezzi, Flora De Conto, Maria Cristina Arcangeletti, Adriana Calderaro, Maria Cristina Medici, G. Dettori, Monica Martinelli, Sergey V. Razin, Klaus Scherrer and E. S. Ioudinkova. Their work appears in journals such as Journal of Cell Science, Journal of Clinical Microbiology and Gene.
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.