Ke Xing

About

Ke Xing is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Ke Xing has authored 69 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 10 papers in Immunology and 9 papers in Genetics. Recurrent topics in Ke Xing’s work include Immune cells in cancer (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Immune Cell Function and Interaction (4 papers). Ke Xing is often cited by papers focused on Immune cells in cancer (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Immune Cell Function and Interaction (4 papers). Ke Xing collaborates with scholars based in China, United States and Italy. Ke Xing's co-authors include Shiyang Pan, Yiping Ren, Xionglei He, Jianfang Lou and Peijun Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Ke 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 Ke Xing. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ke Xing may publish in the future.

Countries citing papers authored by Ke Xing

Since Specialization

Citations

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

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