Kai Mi

8 papers and 544 indexed citations i.

About

Kai Mi is a scholar working on Infectious Diseases, Genetics and Molecular Biology. According to data from OpenAlex, Kai Mi has authored 8 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Kai Mi’s work include Viral gastroenteritis research and epidemiology (4 papers), Aetiology, Diagnosis, and Management of Myocarditis (2 papers) and Virus-based gene therapy research (2 papers). Kai Mi is often cited by papers focused on Viral gastroenteritis research and epidemiology (4 papers), Aetiology, Diagnosis, and Management of Myocarditis (2 papers) and Virus-based gene therapy research (2 papers). Kai Mi collaborates with scholars based in China, United States and Singapore. Kai Mi's co-authors include Chen Li, Guanlin Liang, Chuan Wang, Kewei Li, Tianfu Wen, Chuan Li, Yunhao Tang, Jing Ye, Fei Wang and Min Yan and has published in prestigious journals such as The Lancet, PLoS ONE and Molecular Biology and Evolution.

In The Last Decade

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

Fields of papers citing papers by Kai Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Mi

Since Specialization
Citations

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