Danilo Cereda
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- SARS-CoV-2 and COVID-19 Research 17
- COVID-19 Clinical Research Studies 10
- SARS-CoV-2 detection and testing 8
- Epidemiology 32
- Respiratory viral infections research 15
- Influenza Virus Research Studies 12
- Data-Driven Disease Surveillance 7
- Virology and Viral Diseases 6
- Co-authors
- Lorenzo Moja (3 shared papers)V.L. Pecoraro (2 shared papers)Giulio Rigon (2 shared papers)Rita Banzi (2 shared papers)Koren Hyogene Kwag (2 shared papers)Alberto Vaona (2 shared papers)Irene Tramacere (1 shared paper)Marcello Tirani (18 shared papers)
- Journals
- Eurosurveillance (13 papers)European Journal of Public Health (4 papers)Emerging infectious diseases (4 papers)The Science of The Total Environment (3 papers)BMC Infectious Diseases (3 papers)
- Partner nations
- ItalyIcelandUnited Kingdom
In The Last Decade
Danilo Cereda
87 papers receiving 1.4k citations
Danilo Cereda's Hit Papers
Peers
Comparison fields: 5 of 121
- Modeling and Simulation 174
- Infectious Diseases 436
- Virology 58
- Health 91
- Epidemiology 310
Countries citing papers authored by Danilo Cereda
This map shows the geographic impact of Danilo Cereda'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 Danilo Cereda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Cereda more than expected).
Fields of papers citing papers by Danilo Cereda
This network shows the impact of papers produced by Danilo Cereda. 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 Danilo Cereda. The network helps show where Danilo Cereda may publish in the future.
Co-authors
The 25 scholars most cited alongside Danilo Cereda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | E-learning for health professionals Hit paper breakdown → | 2018 | 284 |
| 2 | 2020 | 120 | |
| 3 | 2021 | 92 | |
| 4 | 2022 | 58 | |
| 5 | 2022 | 53 | |
| 6 | 2021 | 50 | |
| 7 | 2022 | 48 | |
| 8 | 2020 | 41 | |
| 9 | 2020 | 41 | |
| 10 | 2020 | 40 | |
| 11 | 2020 | 38 | |
| 12 | 2023 | 35 | |
| 13 | 2017 | 31 | |
| 14 | 2014 | 31 | |
| 15 | 2020 | 26 | |
| 16 | 2021 | 23 | |
| 17 | 2022 | 21 | |
| 18 | 2021 | 21 | |
| 19 | 2023 | 19 | |
| 20 | 2024 | 15 |
About Danilo Cereda
Danilo Cereda is a scholar working on Infectious Diseases, Epidemiology, Modeling and Simulation, Virology and Public Health, Environmental and Occupational Health, having authored 94 papers that have together received 1.4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (17 papers), Respiratory viral infections research (15 papers), Influenza Virus Research Studies (12 papers), COVID-19 Clinical Research Studies (10 papers), COVID-19 epidemiological studies (9 papers), SARS-CoV-2 detection and testing (8 papers), Data-Driven Disease Surveillance (7 papers) and Virology and Viral Diseases (6 papers). The work is most often cited by research in Modeling and Simulation (174 citations), Infectious Diseases (436 citations), Virology (58 citations), Health (91 citations) and Epidemiology (310 citations). Danilo Cereda has collaborated with scholars based in Italy, Iceland and United Kingdom. Frequent co-authors include Lorenzo Moja, V.L. Pecoraro, Giulio Rigon, Rita Banzi, Koren Hyogene Kwag, Alberto Vaona, Irene Tramacere, Marcello Tirani, Maria Giada Gramegna and Elena Pariani. Their work appears in journals such as Eurosurveillance, European Journal of Public Health, Emerging infectious diseases, The Science of The Total Environment and BMC Infectious Diseases.
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.