Kai Xing

About

Kai Xing is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Kai Xing has authored 76 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 22 papers in Genetics and 22 papers in Cancer Research. Recurrent topics in Kai Xing’s work include Cancer-related molecular mechanisms research (18 papers), Genetic and phenotypic traits in livestock (16 papers) and MicroRNA in disease regulation (10 papers). Kai Xing is often cited by papers focused on Cancer-related molecular mechanisms research (18 papers), Genetic and phenotypic traits in livestock (16 papers) and MicroRNA in disease regulation (10 papers). Kai Xing collaborates with scholars based in China, United States and Hong Kong. Kai Xing's co-authors include Xihui Sheng, Hemin Ni, Xiangguo Wang, Chuduan Wang and Xiaolong Qi and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Fields of papers citing papers by Kai Xing

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

Countries citing papers authored by Kai Xing

Since Specialization

Citations

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

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