Wen‐Li Mi

65 papers and 1.6k indexed citations i.

About

Wen‐Li Mi is a scholar working on Physiology, Immunology and Complementary and alternative medicine. According to data from OpenAlex, Wen‐Li Mi has authored 65 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Physiology, 18 papers in Immunology and 11 papers in Complementary and alternative medicine. Recurrent topics in Wen‐Li Mi’s work include Pain Mechanisms and Treatments (33 papers), IL-33, ST2, and ILC Pathways (15 papers) and Acupuncture Treatment Research Studies (10 papers). Wen‐Li Mi is often cited by papers focused on Pain Mechanisms and Treatments (33 papers), IL-33, ST2, and ILC Pathways (15 papers) and Acupuncture Treatment Research Studies (10 papers). Wen‐Li Mi collaborates with scholars based in China, United States and United Kingdom. Wen‐Li Mi's co-authors include Qi‐Liang Mao‐Ying, Gen-Cheng Wu, Yan-Qing Wang, Yanqing Wang, Shenbin Liu, Ping Han, Lixia Du, Jianwei Jiang, Mengting Zhang and Yu‐Xia Chu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Co-authorship network of co-authors of Wen‐Li Mi i

Fields of papers citing papers by Wen‐Li Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Li Mi. 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 Wen‐Li Mi. The network helps show where Wen‐Li Mi may publish in the future.

Countries citing papers authored by Wen‐Li Mi

Since Specialization
Citations

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