Megan Brown
About
Megan Brown is a scholar working on Genetics, Molecular Biology and Immunology.
According to data from OpenAlex, Megan Brown has authored 11 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Megan Brown’s work include Bacterial Genetics and Biotechnology (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Evolution and Genetic Dynamics (2 papers). Megan Brown is often cited by papers focused on Bacterial Genetics and Biotechnology (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Evolution and Genetic Dynamics (2 papers). Megan Brown collaborates with scholars based in United Kingdom and United States. Megan Brown's co-authors include Edward R. Garrett, P. Gilbert, Peter A. Lambert, James H. Nichols and David J. Evans and has published in prestigious journals such as Annual Review of Microbiology, Journal of Pharmaceutical Sciences and Journal of Antimicrobial Chemotherapy.
In The Last Decade
Fields of papers citing papers by Megan Brown
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 Megan Brown. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Megan Brown may publish in the future.
Countries citing papers authored by Megan Brown
Since SpecializationCitations
This map shows the geographic impact of Megan Brown'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 Megan Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan Brown more than expected).
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