Min Shi

39 papers and 1.9k indexed citations i.

About

Min Shi is a scholar working on Molecular Biology, Complementary and alternative medicine and Biotechnology. According to data from OpenAlex, Min Shi has authored 39 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 13 papers in Complementary and alternative medicine and 7 papers in Biotechnology. Recurrent topics in Min Shi’s work include Biosynthesis and Engineering of Terpenoids (28 papers), Plant Gene Expression Analysis (22 papers) and Traditional Chinese Medicine Analysis (13 papers). Min Shi is often cited by papers focused on Biosynthesis and Engineering of Terpenoids (28 papers), Plant Gene Expression Analysis (22 papers) and Traditional Chinese Medicine Analysis (13 papers). Min Shi collaborates with scholars based in China, Israel and United States. Min Shi's co-authors include Guoyin Kai, Changping Deng, Guoyin Kai, Wei Zhou, Xiaolong Hao, Fenfen Huang, Yao Wang, Qiang Huang, Lijie Cui and Huizhong Wang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Food Chemistry.

In The Last Decade

Co-authorship network of co-authors of Min Shi i

Fields of papers citing papers by Min Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Shi

Since Specialization
Citations

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