Maylis Layan
About
Maylis Layan is a scholar working on Virology, Modeling and Simulation and Epidemiology.
According to data from OpenAlex, Maylis Layan has authored 9 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Virology, 4 papers in Modeling and Simulation and 3 papers in Epidemiology. Recurrent topics in Maylis Layan’s work include COVID-19 epidemiological studies (4 papers), Rabies epidemiology and control (4 papers) and Microbial infections and disease research (3 papers). Maylis Layan is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Rabies epidemiology and control (4 papers) and Microbial infections and disease research (3 papers). Maylis Layan collaborates with scholars based in France, Belgium and United Kingdom. Maylis Layan's co-authors include Simon Cauchemez, Simon Dellicour, Guy Baele, Hervé Bourhy and Nathanaël Hozé and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and American Journal of Epidemiology.
In The Last Decade
Fields of papers citing papers by Maylis Layan
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Maylis Layan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Maylis Layan may publish in the future.
Countries citing papers authored by Maylis Layan
Since SpecializationCitations
This map shows the geographic impact of Maylis Layan'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 Maylis Layan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maylis Layan more than expected).
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