Fan Xing

24 papers and 351 indexed citations i.

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 351 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 Immune cells in cancer (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 Immune cells in cancer (3 papers). Fan Xing collaborates with scholars based in China and United States. Fan Xing's co-authors include Deyin Guo, Liu Cao, Wenbo Zhu, Yanxi Ji, Guangmei Yan, Haipeng Zhang, Yuan Lin, Guanguan Li, Yinzhu Luo and Ge Li 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

Co-authorship network of co-authors of Fan Xing i

Fields of papers citing papers by Fan Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fan Xing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fan Xing. 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).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025