Feiyan Ai

26 papers and 651 indexed citations i.

About

Feiyan Ai is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Feiyan Ai has authored 26 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Cancer Research and 7 papers in Immunology. Recurrent topics in Feiyan Ai’s work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (5 papers). Feiyan Ai is often cited by papers focused on MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (5 papers). Feiyan Ai collaborates with scholars based in China and Russia. Feiyan Ai's co-authors include Shourong Shen, Li Tian, Xiayu Li, Jian Ma, Xiaoyan Wang, Shaojun Liu, Guiyuan Li, Anliu Tang, Tian Li and Fen Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Feiyan Ai i

Fields of papers citing papers by Feiyan Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feiyan Ai

Since Specialization
Citations

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