Jing Xun
About
Jing Xun is a scholar working on Molecular Biology, Immunology and Cancer Research.
According to data from OpenAlex, Jing Xun has authored 23 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Immunology and 7 papers in Cancer Research. Recurrent topics in Jing Xun’s work include Immune cells in cancer (10 papers), Epigenetics and DNA Methylation (4 papers) and Immune Cell Function and Interaction (4 papers). Jing Xun is often cited by papers focused on Immune cells in cancer (10 papers), Epigenetics and DNA Methylation (4 papers) and Immune Cell Function and Interaction (4 papers). Jing Xun collaborates with scholars based in China, Hong Kong and United States. Jing Xun's co-authors include Xiaoyue Tan, Ruifang Gao, Long Shen, Lanqiu Zhang and Dekun Wang and has published in prestigious journals such as Cancer Research, Scientific Reports and Archives of Biochemistry and Biophysics.
In The Last Decade
Fields of papers citing papers by Jing Xun
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 Jing Xun. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jing Xun may publish in the future.
Countries citing papers authored by Jing Xun
Since SpecializationCitations
This map shows the geographic impact of Jing Xun'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 Jing Xun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Xun more than expected).
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