Fei Ling

59 papers and 480 indexed citations i.

About

Fei Ling is a scholar working on Molecular Biology, Immunology and Virology. According to data from OpenAlex, Fei Ling has authored 59 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 25 papers in Immunology and 9 papers in Virology. Recurrent topics in Fei Ling’s work include Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (16 papers) and HIV Research and Treatment (9 papers). Fei Ling is often cited by papers focused on Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (16 papers) and HIV Research and Treatment (9 papers). Fei Ling collaborates with scholars based in China, United States and Hong Kong. Fei Ling's co-authors include Min Zhuo, Hongli Du, Xiaoning Wang, Jiaqi Hu, Yaosheng Chen, Wei Luo, Shancen Zhao, Shengjie Gao, Pengfei Song and Jiayuan Zhong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Genetics.

In The Last Decade

Co-authorship network of co-authors of Fei Ling i

Fields of papers citing papers by Fei Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fei Ling. 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 Fei Ling. The network helps show where Fei Ling may publish in the future.

Countries citing papers authored by Fei Ling

Since Specialization
Citations

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