Claúdio J. Struchiner
- Public Health, Environmental and Occupational Health top 0.5%
- Infectious Diseases top 0.5%
- Epidemiology top 2%
- Modeling and Simulation top 0.2%
- Health top 1%
- Co-authors
- M. Elizabeth HalloranIra M. LonginiEduardo MassadGuilherme Suarez‐KurtzPaula M. LuzCláudia Torres CodeçoGuilherme Loureiro WerneckMarcelo Nascimento Burattini
- Topics
- COVID-19 epidemiological studies (39 papers)Mosquito-borne diseases and control (32 papers)SARS-CoV-2 and COVID-19 Research (20 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Claúdio J. Struchiner
207 papers receiving 5.9k citations
Peers
Comparison fields: 5 of 183
- Public Health, Environmental and Occupational Health 1.8k
- Infectious Diseases 1.8k
- Epidemiology 1.4k
- Modeling and Simulation 1.1k
- Health 677
Countries citing papers authored by Claúdio J. Struchiner
This map shows the geographic impact of Claúdio J. Struchiner'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 Claúdio J. Struchiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claúdio J. Struchiner more than expected).
Fields of papers citing papers by Claúdio J. Struchiner
This network shows the impact of papers produced by Claúdio J. Struchiner. 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 Claúdio J. Struchiner. The network helps show where Claúdio J. Struchiner may publish in the future.
Co-authorship network of co-authors of Claúdio J. Struchiner
This figure shows the co-authorship network connecting the top 25 collaborators of Claúdio J. Struchiner. A scholar is included among the top collaborators of Claúdio J. Struchiner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Claúdio J. Struchiner. Claúdio J. Struchiner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 19 | |
| 14 | 8 | |
| 15 | 10 | |
| 16 | 5 | |
| 17 | 92 | |
| 18 | 17 | |
| 19 | 26 | |
| 20 | Uncertainties Regarding Dengue Modeling in Rio de Janeiro, Brazil | 22 |
About Claúdio J. Struchiner
Claúdio J. Struchiner is a scholar working on Modeling and Simulation, Virology and Infectious Diseases, having authored 214 papers that have together received 6.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (39 papers), Mosquito-borne diseases and control (32 papers) and SARS-CoV-2 and COVID-19 Research (20 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Infectious Diseases (1.8k citations) and Virology (405 citations). Claúdio J. Struchiner has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include M. Elizabeth Halloran, Ira M. Longini, M. Elizabeth Halloran, Eduardo Massad, Guilherme Suarez‐Kurtz, Paula M. Luz, Cláudia Torres Codeço, Guilherme Loureiro Werneck, Marcelo Nascimento Burattini and Gilberto Kac. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.