Danilo Cereda
Impact in
- Modeling and Simulation top 1%
- 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 ⓘ
-
- COVID-19 epidemiological studies 14
-
- COVID-19 Clinical Research Studies 16
- SARS-CoV-2 and COVID-19 Research 16
- SARS-CoV-2 detection and testing 7
- Co-authors
- Lorenzo Moja (3 shared papers)V.L. Pecoraro (2 shared papers)Rita Banzi (2 shared papers)Giulio Rigon (2 shared papers)Koren Hyogene Kwag (2 shared papers)Alberto Vaona (2 shared papers)Irene Tramacere (1 shared paper)Maria Gramegna (18 shared papers)
- Journals
- Eurosurveillance (11 papers)European Journal of Public Health (4 papers)Frontiers in Public Health (3 papers)BMC Infectious Diseases (3 papers)Emerging infectious diseases (3 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Danilo Cereda
76 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Modeling and Simulation 240
- Infectious Diseases 521
- Health 151
- Virology 55
- Family Practice 24
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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | E-learning for health professionals Hit paper breakdown → | 2018 | 270 |
| 2 | 2020 | 117 | |
| 3 | 2021 | 89 | |
| 4 | 2022 | 55 | |
| 5 | 2021 | 51 | |
| 6 | 2022 | 49 | |
| 7 | 2022 | 46 | |
| 8 | 2020 | 43 | |
| 9 | 2020 | 40 | |
| 10 | 2020 | 38 | |
| 11 | 2020 | 35 | |
| 12 | 2023 | 32 | |
| 13 | 2014 | 30 | |
| 14 | 2017 | 29 | |
| 15 | 2020 | 26 | |
| 16 | 2021 | 22 | |
| 17 | 2021 | 20 | |
| 18 | 2022 | 19 | |
| 19 | 2023 | 17 | |
| 20 | 2020 | 15 |
About Danilo Cereda
Danilo Cereda is a scholar working on Modeling and Simulation, Infectious Diseases, Applied Microbiology and Biotechnology, Epidemiology and Virology, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Respiratory viral infections research (17 papers), Influenza Virus Research Studies (17 papers), COVID-19 Clinical Research Studies (16 papers), SARS-CoV-2 and COVID-19 Research (16 papers), COVID-19 epidemiological studies (14 papers), SARS-CoV-2 detection and testing (7 papers), COVID-19 and healthcare impacts (7 papers) and Vaccine Coverage and Hesitancy (6 papers). The work is most often cited by research in Modeling and Simulation (240 citations), Infectious Diseases (521 citations), Health (151 citations), Virology (55 citations) and Family Practice (24 citations). Danilo Cereda has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Lorenzo Moja, V.L. Pecoraro, Rita Banzi, Giulio Rigon, Koren Hyogene Kwag, Alberto Vaona, Irene Tramacere, Maria Gramegna, Marcello Tirani and Piero Poletti. Their work appears in journals such as Eurosurveillance, European Journal of Public Health, Frontiers in Public Health, BMC Infectious Diseases and Emerging 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.