Daniel Cadarette

15 papers receiving 930 citations

Daniel Cadarette's Hit Papers

Infectious Disease Threats in the Twenty-First Century: Strengthening the Global Response 2019 · 609 citations
6090+2+4Years since publication200400600

Peers

Daniel Cadarette
Comparison fields: 5 of 133
  • Modeling and Simulation 129
  • Applied Microbiology and Biotechnology 42
  • Health 129
  • Infectious Diseases 225
  • Public Health, Environmental and Occupational Health 174
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Kashmira Date United States
Dimitrios Gouglas Norway
Michael Head United Kingdom
Lee Worden United States
Naoya Itoh Japan
Abdinasir Yusuf Osman Malaysia
Stacey L. Knobler United States
Naif Khalaf Alharbi Saudi Arabia
Mahesh Puri South Korea
Marco Liverani United Kingdom
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Citations per year

Countries citing papers authored by Daniel Cadarette

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Cadarette Line = papers co-authored together Daniel Cadarette links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Infectious Disease Threats in the Twenty-First Century: Strengthening the Global Response
Hit paper breakdown →
2019609
2 201888
3 201660
4 202149
5 202242
6 202139
7 202139
8 202314
9 202311
10 201811
11 20238
12 20237
13 20234
14 20214
15
Epidemias y economía: las enfermedades infecciosas nuevas y recurrentes pueden tener amplias repercusiones económicas
20181
16 20200

About Daniel Cadarette

Daniel Cadarette is a scholar working on Health, Modeling and Simulation, Infectious Diseases, Applied Microbiology and Biotechnology and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 986 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (5 papers), COVID-19 epidemiological studies (4 papers), Streptococcal Infections and Treatments (4 papers), Global Health Care Issues (3 papers), Neonatal and Maternal Infections (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Pneumonia and Respiratory Infections (2 papers) and Healthcare Policy and Management (2 papers). The work is most often cited by research in Modeling and Simulation (129 citations), Applied Microbiology and Biotechnology (42 citations), Health (129 citations), Infectious Diseases (225 citations) and Public Health, Environmental and Occupational Health (174 citations). Daniel Cadarette has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David E. Bloom, Maddalena Ferranna, Marc Lipsitch, J.P. Sevilla, Mark Jit, Logan Brenzel, Jeffrey W. Cannon, Jonathan Rhys Carapetis, Randall N. Hyer and Daniel L. Tortorice. Their work appears in journals such as npj Vaccines, Vaccine, Health Affairs, Risk Analysis and EClinicalMedicine.

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.

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