Daniel Cadarette
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
- Health 7
- Vaccine Coverage and Hesitancy 6
-
- Streptococcal Infections and Treatments 5
- Neonatal and Maternal Infections 3
- Co-authors
- David E. Bloom (16 shared papers)Maddalena Ferranna (7 shared papers)Logan Brenzel (1 shared paper)J.P. Sevilla (2 shared papers)Marc Lipsitch (1 shared paper)Mark Jit (1 shared paper)Jeffrey Cannon (5 shared papers)Jonathan R. Carapetis (4 shared papers)
- Journals
- npj Vaccines (2 papers)American Journal of Public Health (1 paper)EClinicalMedicine (1 paper)Vaccine (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Daniel Cadarette
16 papers receiving 833 citations
Daniel Cadarette's Hit Papers
Peers
Comparison fields: 5 of 130
- Modeling and Simulation 123
- Applied Microbiology and Biotechnology 33
- Health 119
- Infectious Diseases 197
- Public Health, Environmental and Occupational Health 148
Countries citing papers authored by Daniel Cadarette
This map shows the geographic impact of Daniel Cadarette'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 Daniel Cadarette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Cadarette more than expected).
Fields of papers citing papers by Daniel Cadarette
This network shows the impact of papers produced by Daniel Cadarette. 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 Daniel Cadarette. The network helps show where Daniel Cadarette may publish in the future.
Co-authors
The 18 scholars most cited alongside Daniel Cadarette, 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 | Infectious Disease Threats in the Twenty-First Century: Strengthening the Global Response Hit paper breakdown → | 2019 | 541 |
| 2 | 2016 | 57 | |
| 3 | 2018 | 52 | |
| 4 | 2021 | 46 | |
| 5 | 2021 | 38 | |
| 6 | 2022 | 36 | |
| 7 | 2021 | 34 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 9 | |
| 10 | 2018 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 3 | |
| 15 | Epidemias y economía: las enfermedades infecciosas nuevas y recurrentes pueden tener amplias repercusiones económicas | 2018 | 1 |
| 16 | 2022 | 1 |
About Daniel Cadarette
Daniel Cadarette is a scholar working on Health, Public Health, Environmental and Occupational Health, Infectious Diseases, Modeling and Simulation and General Health Professions, having authored 16 papers that have together received 854 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (6 papers), Streptococcal Infections and Treatments (5 papers), COVID-19 epidemiological studies (5 papers), Neonatal and Maternal Infections (3 papers), Antibiotic Use and Resistance (2 papers), Global Health Care Issues (2 papers), Pneumonia and Respiratory Infections (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Modeling and Simulation (123 citations), Applied Microbiology and Biotechnology (33 citations), Health (119 citations), Infectious Diseases (197 citations) and Public Health, Environmental and Occupational Health (148 citations). Daniel Cadarette has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David E. Bloom, Maddalena Ferranna, Logan Brenzel, J.P. Sevilla, Marc Lipsitch, Mark Jit, Jeffrey Cannon, Jonathan R. Carapetis, Randall N. Hyer and Daniel L. Tortorice. Their work appears in journals such as npj Vaccines, American Journal of Public Health, EClinicalMedicine, Vaccine and Frontiers in Immunology.
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.