Long Min

35 papers and 696 indexed citations i.

About

Long Min is a scholar working on Organic Chemistry, Biochemistry and Molecular Biology. According to data from OpenAlex, Long Min has authored 35 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Organic Chemistry, 10 papers in Biochemistry and 6 papers in Molecular Biology. Recurrent topics in Long Min’s work include Synthetic Organic Chemistry Methods (10 papers), Traditional and Medicinal Uses of Annonaceae (10 papers) and Oxidative Organic Chemistry Reactions (8 papers). Long Min is often cited by papers focused on Synthetic Organic Chemistry Methods (10 papers), Traditional and Medicinal Uses of Annonaceae (10 papers) and Oxidative Organic Chemistry Reactions (8 papers). Long Min collaborates with scholars based in China, Macao and Hong Kong. Long Min's co-authors include Chuang‐Chuang Li, Ya‐Jian Hu, Jing‐Chun Han, Xin Liu, Lixuan Li, Wen Zhang, Yan Lou, Xiaohong Lin, Xin‐Feng Wang and Jian‐Hong Fan and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

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

Fields of papers citing papers by Long Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Min

Since Specialization
Citations

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