Guido Torelli
Impact in
- Health top 10%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 11
- Influenza Virus Research Studies 10
- Respiratory viral infections research 5
-
- SARS-CoV-2 and COVID-19 Research 3
- Viral Infections and Outbreaks Research 2
- Co-authors
- Erin Sparrow (8 shared papers)Martin Friede (2 shared papers)Kenneth A McLean (1 shared paper)Marie Paule Kiény (1 shared paper)David D. Wood (1 shared paper)Yuri Pervikov (1 shared paper)Laszlo Palkonyay (1 shared paper)Siranda Torvaldsen (1 shared paper)
- Journals
- Vaccine (5 papers)Vaccines (2 papers)Leukemia (1 paper)PLoS ONE (1 paper)Human Vaccines & Immunotherapeutics (1 paper)
- Partner nations
- SwitzerlandRussiaAustralia
In The Last Decade
Guido Torelli
15 papers receiving 264 citations
Peers
Comparison fields: 5 of 64
- Health 59
- Modeling and Simulation 30
- Epidemiology 185
- Infectious Diseases 94
- Agronomy and Crop Science 29
Countries citing papers authored by Guido Torelli
This map shows the geographic impact of Guido Torelli'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 Guido Torelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guido Torelli more than expected).
Fields of papers citing papers by Guido Torelli
This network shows the impact of papers produced by Guido Torelli. 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 Guido Torelli. The network helps show where Guido Torelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Guido Torelli, 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 | 2011 | 71 | |
| 2 | 2020 | 64 | |
| 3 | 2016 | 59 | |
| 4 | 2018 | 19 | |
| 5 | 1998 | 16 | |
| 6 | 2018 | 16 | |
| 7 | 2018 | 8 | |
| 8 | 2020 | 6 | |
| 9 | 2018 | 6 | |
| 10 | Near-tetraploidy in acute leukemia. | 1984 | 5 |
| 11 | Studies on double-stranded RNA synthesized in acute leukemia blast cells. | 1974 | 4 |
| 12 | 2016 | 3 | |
| 13 | 2017 | 3 | |
| 14 | Cytogenetic investigations in hairy cell leukemia. A survey of sixteen cases. | 1986 | 2 |
| 15 | [Mediastinal syndrome due to myeloblastoma at the onset of acute myeloblastic leukemia (author's transl)]. | 1979 | 1 |
About Guido Torelli
Guido Torelli is a scholar working on Epidemiology, Infectious Diseases, Immunology, Modeling and Simulation and Molecular Biology, having authored 15 papers that have together received 283 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Respiratory viral infections research (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 epidemiological studies (3 papers), Animal Disease Management and Epidemiology (2 papers), Immune Response and Inflammation (2 papers), Viral Infections and Outbreaks Research (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Health (59 citations), Modeling and Simulation (30 citations), Epidemiology (185 citations), Infectious Diseases (94 citations) and Agronomy and Crop Science (29 citations). Guido Torelli has collaborated with scholars based in Switzerland, Russia and Australia. Frequent co-authors include Erin Sparrow, Martin Friede, Kenneth A McLean, Marie Paule Kiény, David D. Wood, Yuri Pervikov, Laszlo Palkonyay, Siranda Torvaldsen, Ann Moen and James Wood. Their work appears in journals such as Vaccine, Vaccines, Leukemia, PLoS ONE and Human Vaccines & Immunotherapeutics.
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.