Yan Tai

45 papers and 1.9k indexed citations i.

About

Yan Tai is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Yan Tai has authored 45 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Physiology and 10 papers in Immunology. Recurrent topics in Yan Tai’s work include Pain Mechanisms and Treatments (13 papers), Pain Management and Treatment (6 papers) and Gout, Hyperuricemia, Uric Acid (5 papers). Yan Tai is often cited by papers focused on Pain Mechanisms and Treatments (13 papers), Pain Management and Treatment (6 papers) and Gout, Hyperuricemia, Uric Acid (5 papers). Yan Tai collaborates with scholars based in China and United States. Yan Tai's co-authors include Qi Zhang, Boyi Liu, Changchang Jia, Xiaomei Shao, Guihua Chen, Jianqiao Fang, Tuanjie Li, Xuefeng Hua, Yingcai Zhang and Guoying Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Yan Tai i

Fields of papers citing papers by Yan Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yan Tai

Since Specialization
Citations

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