Kun Xing
About
Kun Xing is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Organic Chemistry.
According to data from OpenAlex, Kun Xing has authored 21 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 4 papers in Organic Chemistry. Recurrent topics in Kun Xing’s work include Cancer Mechanisms and Therapy (3 papers), Animal Nutrition and Physiology (3 papers) and Phytoestrogen effects and research (2 papers). Kun Xing is often cited by papers focused on Cancer Mechanisms and Therapy (3 papers), Animal Nutrition and Physiology (3 papers) and Phytoestrogen effects and research (2 papers). Kun Xing collaborates with scholars based in China and United States. Kun Xing's co-authors include Zhao Liu, Shuxiang Wang, Ghulam Qanmber, Zengpeng Lv and Dan Liu and has published in prestigious journals such as Scientific Reports, The FASEB Journal and The Plant Journal.
In The Last Decade
Fields of papers citing papers by Kun Xing
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 Kun Xing. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kun Xing may publish in the future.
Countries citing papers authored by Kun Xing
Since SpecializationCitations
This map shows the geographic impact of Kun 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 Kun Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Xing more than expected).
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