Mia Moore
About
Mia Moore is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation.
According to data from OpenAlex, Mia Moore has authored 48 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 14 papers in Epidemiology and 8 papers in Modeling and Simulation. Recurrent topics in Mia Moore’s work include Prevention and Treatment of HIV/AIDS Infection (11 papers), HIV, Drug Use, Sexual Risk (10 papers) and COVID-19 epidemiological studies (8 papers). Mia Moore is often cited by papers focused on Prevention and Treatment of HIV/AIDS Infection (11 papers), HIV, Drug Use, Sexual Risk (10 papers) and COVID-19 epidemiological studies (8 papers). Mia Moore collaborates with scholars based in United States, United Kingdom and South Africa. Mia Moore's co-authors include Dobromir Dimitrov, Deborah Donnell, Kate M. Mitchell, Marie‐Claude Boily and David A. Swan and has published in prestigious journals such as The Lancet, Nature Medicine and American Journal of Psychiatry.
In The Last Decade
Fields of papers citing papers by Mia Moore
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 Mia Moore. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mia Moore may publish in the future.
Countries citing papers authored by Mia Moore
Since SpecializationCitations
This map shows the geographic impact of Mia Moore'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 Mia Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mia Moore more than expected).
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