Fan Xing

About

Fan Xing is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Fan Xing has authored 24 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Genetics. Recurrent topics in Fan Xing’s work include Virus-based gene therapy research (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Quantum Information and Cryptography (3 papers). Fan Xing is often cited by papers focused on Virus-based gene therapy research (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Quantum Information and Cryptography (3 papers). Fan Xing collaborates with scholars based in China and United States. Fan Xing's co-authors include Wenbo Zhu, Deyin Guo, Guangmei Yan, Chunmei Li and Haipeng Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Journal of Virology.

In The Last Decade

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

Countries citing papers authored by Fan Xing

Since Specialization

Citations

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

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