Giulia Torriani
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral Infections and Outbreaks Research
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 5%
Papers in
-
- SARS-CoV-2 and COVID-19 Research 12
- Viral Infections and Outbreaks Research 9
- Viral Infections and Vectors 7
- SARS-CoV-2 detection and testing 7
- COVID-19 Clinical Research Studies 6
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Isabella EckerleStefan KunzLaurent KaiserBenjamin MeyerSabine YerlyNicolas VuilleumierOlivier EnglerSylvia Rothenberger
- Journals
- Journal of Virology (4 papers)Emerging Microbes & Infections (2 papers)Viruses (2 papers)Virology (2 papers)Virus Research (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Giulia Torriani
21 papers receiving 781 citations
Peers
Comparison fields: 5 of 88
- Infectious Diseases 662
- Modeling and Simulation 45
- Animal Science and Zoology 49
- Epidemiology 111
- Emergency Medical Services 22
Countries citing papers authored by Giulia Torriani
This map shows the geographic impact of Giulia Torriani'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 Torriani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Torriani more than expected).
Fields of papers citing papers by Giulia Torriani
This network shows the impact of papers produced by Giulia Torriani. 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 Torriani. The network helps show where Giulia Torriani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giulia Torriani, 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 | 2023 | 2 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 90 | |
| 4 | 2021 | 12 | |
| 5 | 2021 | 42 | |
| 6 | 2020 | 21 | |
| 7 | 2020 | 17 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 22 | |
| 10 | 2020 | 102 | |
| 11 | 2020 | 22 | |
| 12 | 2020 | 92 | |
| 13 | 2020 | 108 | |
| 14 | 2020 | 36 | |
| 15 | 2019 | 20 | |
| 16 | 2019 | 33 | |
| 17 | 2017 | 55 | |
| 18 | 2016 | 8 | |
| 19 | 2016 | 64 | |
| 20 | 2016 | 21 |
About Giulia Torriani
Giulia Torriani is a scholar working on Infectious Diseases, Emergency Medical Services, Public Health, Environmental and Occupational Health, Hematology and Epidemiology, having authored 21 papers that have together received 788 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), Viral Infections and Outbreaks Research (9 papers), Viral Infections and Vectors (7 papers), SARS-CoV-2 detection and testing (7 papers), COVID-19 Clinical Research Studies (6 papers), Respiratory viral infections research (3 papers), Mosquito-borne diseases and control (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (662 citations), Modeling and Simulation (45 citations), Animal Science and Zoology (49 citations), Epidemiology (111 citations) and Emergency Medical Services (22 citations). Giulia Torriani has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Isabella Eckerle, Stefan Kunz, Laurent Kaiser, Benjamin Meyer, Sabine Yerly, Nicolas Vuilleumier, Olivier Engler, Sylvia Rothenberger, Gert Zimmer and Chantal Reusken. Their work appears in journals such as Journal of Virology, Emerging Microbes & Infections, Viruses, Virology and Virus Research.
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.