Clara Champagne
- Public Health, Environmental and Occupational Health top 10%
- Modeling and Simulation top 2%
- Sociology and Political Science
- Infectious Diseases
- Epidemiology
- Co-authors
- Bernard CazellesAriane PailhéAnne SolazJoseph DureauBenjamín RocheRichard PaúlCatherine ComiskeyVan‐Mai Cao‐Lormeau
- Topics
- Mosquito-borne diseases and control (10 papers)Malaria Research and Control (9 papers)COVID-19 epidemiological studies (8 papers)
- Cited by
- Modeling and SimulationPublic Health, Environmental and Occupational HealthInfectious Diseases
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaeLife
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Clara Champagne
19 papers receiving 309 citations
Peers
Comparison fields: 5 of 84
- Public Health, Environmental and Occupational Health 153
- Modeling and Simulation 106
- Sociology and Political Science 80
- Infectious Diseases 71
- Epidemiology 41
Countries citing papers authored by Clara Champagne
This map shows the geographic impact of Clara Champagne'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 Clara Champagne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Champagne more than expected).
Fields of papers citing papers by Clara Champagne
This network shows the impact of papers produced by Clara Champagne. 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 Clara Champagne. The network helps show where Clara Champagne may publish in the future.
Co-authorship network of co-authors of Clara Champagne
This figure shows the co-authorship network connecting the top 25 collaborators of Clara Champagne. A scholar is included among the top collaborators of Clara Champagne 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 Clara Champagne. Clara Champagne 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 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 23 | |
| 11 | 11 | |
| 12 | 56 | |
| 13 | 20 | |
| 14 | 36 | |
| 15 | 15 | |
| 16 | 2 | |
| 17 | 86 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 14 |
About Clara Champagne
Clara Champagne is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Parasitology, having authored 21 papers that have together received 332 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (10 papers), Malaria Research and Control (9 papers) and COVID-19 epidemiological studies (8 papers). The work is most often cited by research in Modeling and Simulation (106 citations), Public Health, Environmental and Occupational Health (153 citations) and Infectious Diseases (71 citations). Clara Champagne has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Bernard Cazelles, Ariane Pailhé, Anne Solaz, Joseph Dureau, Benjamín Roche, Richard Paúl, Catherine Comiskey, Van‐Mai Cao‐Lormeau, E Papiernik and Y Noviant. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and eLife.
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.