Giulia Lapini
Impact in
- Biotechnology top 5%
- Transgenic Plants and Applications
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
Papers in
- Epidemiology 13
- Influenza Virus Research Studies 13
- Respiratory viral infections research 10
-
- SARS-CoV-2 and COVID-19 Research 5
- Viral gastroenteritis research and epidemiology 4
- SARS-CoV-2 detection and testing 3
- COVID-19 Clinical Research Studies 2
- Co-authors
- Emanuele Montomoli (17 shared papers)Louis‐P. Vézina (1 shared paper)Nathalie Landry (1 shared paper)Brian J. Ward (1 shared paper)Sonia Trépanier (1 shared paper)Michèle Dargis (1 shared paper)Simona Piccirella (4 shared papers)Claudia Maria Trombetta (3 shared papers)
- Journals
- Vaccine (3 papers)PLoS ONE (3 papers)Influenza and Other Respiratory Viruses (2 papers)npj Vaccines (2 papers)PLoS Currents (1 paper)
- Partner nations
- ItalyUnited KingdomNetherlands
In The Last Decade
Giulia Lapini
18 papers receiving 553 citations
Peers
Comparison fields: 5 of 53
- Biotechnology 129
- Infectious Diseases 238
- Epidemiology 302
- Modeling and Simulation 34
- Immunology 132
Countries citing papers authored by Giulia Lapini
This map shows the geographic impact of Giulia Lapini'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 Giulia Lapini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Lapini more than expected).
Fields of papers citing papers by Giulia Lapini
This network shows the impact of papers produced by Giulia Lapini. 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 Giulia Lapini. The network helps show where Giulia Lapini may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Lapini, 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 | 2010 | 205 | |
| 2 | 2010 | 61 | |
| 3 | 2020 | 60 | |
| 4 | 2012 | 47 | |
| 5 | 2012 | 31 | |
| 6 | 2014 | 27 | |
| 7 | 2021 | 23 | |
| 8 | 2018 | 20 | |
| 9 | 2013 | 19 | |
| 10 | 2022 | 18 | |
| 11 | 2009 | 14 | |
| 12 | 2019 | 12 | |
| 13 | 2019 | 9 | |
| 14 | 2014 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2014 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 |
About Giulia Lapini
Giulia Lapini is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 574 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), Respiratory viral infections research (10 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Viral gastroenteritis research and epidemiology (4 papers), SARS-CoV-2 detection and testing (3 papers), Animal Disease Management and Epidemiology (2 papers), Immune Response and Inflammation (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Biotechnology (129 citations), Infectious Diseases (238 citations), Epidemiology (302 citations), Modeling and Simulation (34 citations) and Immunology (132 citations). Giulia Lapini has collaborated with scholars based in Italy, United Kingdom and Netherlands. Frequent co-authors include Emanuele Montomoli, Louis‐P. Vézina, Nathalie Landry, Brian J. Ward, Sonia Trépanier, Michèle Dargis, Simona Piccirella, Claudia Maria Trombetta, Alessandro Manenti and Serena Marchi. Their work appears in journals such as Vaccine, PLoS ONE, Influenza and Other Respiratory Viruses, npj Vaccines and PLoS Currents.
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.