Laurence Cibrelus
- Public Health, Environmental and Occupational Health top 5%
- Infectious Diseases top 5%
- Epidemiology
- Modeling and Simulation top 5%
- Surgery
- Co-authors
- J. Erin StaplesSergio YactayoPilar Ramón-PardoTini GarskeKaty A. M. GaythorpeNeil M. FergusonArran HamletKévin Jean
- Topics
- Mosquito-borne diseases and control (8 papers)Viral Infections and Vectors (7 papers)COVID-19 epidemiological studies (6 papers)
- Cited by
- Infectious DiseasesModeling and SimulationPublic Health, Environmental and Occupational Health
- Journals
- SHILAP Revista de lepidopterologíaClinical Infectious DiseasesThe Journal of Infectious Diseases
- Partner nations
- SwitzerlandUnited KingdomFrance
In The Last Decade
Laurence Cibrelus
16 papers receiving 416 citations
Peers
Comparison fields: 5 of 53
- Public Health, Environmental and Occupational Health 304
- Infectious Diseases 245
- Epidemiology 63
- Modeling and Simulation 59
- Surgery 43
Countries citing papers authored by Laurence Cibrelus
This map shows the geographic impact of Laurence Cibrelus'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 Laurence Cibrelus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurence Cibrelus more than expected).
Fields of papers citing papers by Laurence Cibrelus
This network shows the impact of papers produced by Laurence Cibrelus. 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 Laurence Cibrelus. The network helps show where Laurence Cibrelus may publish in the future.
Co-authorship network of co-authors of Laurence Cibrelus
This figure shows the co-authorship network connecting the top 25 collaborators of Laurence Cibrelus. A scholar is included among the top collaborators of Laurence Cibrelus 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 Laurence Cibrelus. Laurence Cibrelus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 70 | |
| 4 | 32 | |
| 5 | 19 | |
| 6 | 14 | |
| 7 | 11 | |
| 8 | 173 | |
| 9 | 19 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | [High percentage of clarithromycin and metronidazole resistance in Helicobacter pylori clinical isolates obtained from Spanish children]. | 42 |
About Laurence Cibrelus
Laurence Cibrelus is a scholar working on Modeling and Simulation, Microbiology and Infectious Diseases, having authored 16 papers that have together received 422 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (8 papers), Viral Infections and Vectors (7 papers) and COVID-19 epidemiological studies (6 papers). The work is most often cited by research in Infectious Diseases (245 citations), Modeling and Simulation (59 citations) and Public Health, Environmental and Occupational Health (304 citations). Laurence Cibrelus has collaborated with scholars based in Switzerland, United Kingdom and France. Frequent co-authors include J. Erin Staples, Sergio Yactayo, Pilar Ramón-Pardo, Tini Garske, Katy A. M. Gaythorpe, Neil M. Ferguson, Arran Hamlet, Kévin Jean, Daniel Garkauskas Ramos and Tomás Alarcón. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and The Journal of Infectious Diseases.
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.