Kaixia Mi

About

Kaixia Mi is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Kaixia Mi has authored 32 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Infectious Diseases, 20 papers in Epidemiology and 16 papers in Molecular Biology. Recurrent topics in Kaixia Mi’s work include Tuberculosis Research and Epidemiology (22 papers), Mycobacterium research and diagnosis (15 papers) and Cancer therapeutics and mechanisms (4 papers). Kaixia Mi is often cited by papers focused on Tuberculosis Research and Epidemiology (22 papers), Mycobacterium research and diagnosis (15 papers) and Cancer therapeutics and mechanisms (4 papers). Kaixia Mi collaborates with scholars based in China, United States and United Kingdom. Kaixia Mi's co-authors include Xinling Hu, John Chan, Xiaojing Li, Guofeng Zhu and Yongfei Hu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Kaixia Mi

Since Specialization

EngineeringComputer 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 Kaixia Mi. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kaixia Mi may publish in the future.

Countries citing papers authored by Kaixia Mi

Since Specialization

Citations

This map shows the geographic impact of Kaixia Mi'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 Kaixia Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaixia Mi more than expected).

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