Charlene Ranadheera
- Epidemiology top 10%
- Infectious Diseases top 5%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Immunology
- Co-authors
- David SafronetzDarwyn KobasaKevin M. CoombsUlrich KeßlerMartin ArnoldKerstin WunderlichRonald FrankMartin Schwemmle
- Topics
- Influenza Virus Research Studies (11 papers)Viral Infections and Vectors (9 papers)Respiratory viral infections research (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Virology
- Partner nations
- CanadaSwitzerlandUnited States
In The Last Decade
Charlene Ranadheera
27 papers receiving 636 citations
Peers
Comparison fields: 5 of 91
- Epidemiology 308
- Infectious Diseases 277
- Molecular Biology 212
- Public Health, Environmental and Occupational Health 176
- Immunology 82
Countries citing papers authored by Charlene Ranadheera
This map shows the geographic impact of Charlene Ranadheera'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 Charlene Ranadheera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charlene Ranadheera more than expected).
Fields of papers citing papers by Charlene Ranadheera
This network shows the impact of papers produced by Charlene Ranadheera. 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 Charlene Ranadheera. The network helps show where Charlene Ranadheera may publish in the future.
Co-authorship network of co-authors of Charlene Ranadheera
This figure shows the co-authorship network connecting the top 25 collaborators of Charlene Ranadheera. A scholar is included among the top collaborators of Charlene Ranadheera 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 Charlene Ranadheera. Charlene Ranadheera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 11 | |
| 9 | 67 | |
| 10 | 4 | |
| 11 | 17 | |
| 12 | 102 | |
| 13 | 20 | |
| 14 | 14 | |
| 15 | 4 | |
| 16 | 10 | |
| 17 | 30 | |
| 18 | 36 | |
| 19 | 46 | |
| 20 | 75 |
About Charlene Ranadheera
Charlene Ranadheera is a scholar working on Infectious Diseases, Epidemiology and Agronomy and Crop Science, having authored 29 papers that have together received 647 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), Viral Infections and Vectors (9 papers) and Respiratory viral infections research (8 papers). The work is most often cited by research in Infectious Diseases (277 citations), Epidemiology (308 citations) and Public Health, Environmental and Occupational Health (176 citations). Charlene Ranadheera has collaborated with scholars based in Canada, Switzerland and United States. Frequent co-authors include David Safronetz, Darwyn Kobasa, Kevin M. Coombs, Ulrich Keßler, Martin Arnold, Kerstin Wunderlich, Ronald Frank, Martin Schwemmle, Bryce M. Warner and Étienne Coyaud. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.
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.