K Dix
About
K Dix is a scholar working on Epidemiology, Molecular Biology and Ecology.
According to data from OpenAlex, K Dix has authored 9 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 3 papers in Molecular Biology and 3 papers in Ecology. Recurrent topics in K Dix’s work include Oral microbiology and periodontitis research (3 papers), Mycobacterium research and diagnosis (2 papers) and Genomics and Phylogenetic Studies (2 papers). K Dix is often cited by papers focused on Oral microbiology and periodontitis research (3 papers), Mycobacterium research and diagnosis (2 papers) and Genomics and Phylogenetic Studies (2 papers). K Dix collaborates with scholars based in United States. K Dix's co-authors include Shiro Watanabe, D. E. Schwartz, Marty Ross, Dominic Suciu and Axel G. Stöver and has published in prestigious journals such as PLoS ONE, Journal of Bacteriology and Journal of Clinical Microbiology.
In The Last Decade
Fields of papers citing papers by K Dix
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 K Dix. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where K Dix may publish in the future.
Countries citing papers authored by K Dix
Since SpecializationCitations
This map shows the geographic impact of K Dix'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 K Dix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Dix more than expected).
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