Lin Mi

7 papers and 367 indexed citations i.

About

Lin Mi is a scholar working on Cancer Research, Physiology and Molecular Biology. According to data from OpenAlex, Lin Mi has authored 7 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Physiology and 3 papers in Molecular Biology. Recurrent topics in Lin Mi’s work include Cancer-related molecular mechanisms research (5 papers), Adipose Tissue and Metabolism (4 papers) and RNA Research and Splicing (2 papers). Lin Mi is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Adipose Tissue and Metabolism (4 papers) and RNA Research and Splicing (2 papers). Lin Mi collaborates with scholars based in United States and China. Lin Mi's co-authors include Jiandie D. Lin, Siming Li, Tongyu Liu, Xu-Yun Zhao, Xu-Yun Zhao, Xuelian Xiong, Xiaoling Peng, Gongshe Yang, M Kellis and Liang Guo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Hepatology.

In The Last Decade

Co-authorship network of co-authors of Lin Mi i

Fields of papers citing papers by Lin Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lin Mi

Since Specialization
Citations

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