Min Dai

8 papers and 81 indexed citations i.

About

Min Dai is a scholar working on Molecular Biology, Surgery and Plant Science. According to data from OpenAlex, Min Dai has authored 8 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Plant Science. Recurrent topics in Min Dai’s work include Extracellular vesicles in disease (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Ginseng Biological Effects and Applications (1 paper). Min Dai is often cited by papers focused on Extracellular vesicles in disease (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Ginseng Biological Effects and Applications (1 paper). Min Dai collaborates with scholars based in China and Hong Kong. Min Dai's co-authors include Xiu‐Jie Wang, Xiaobing Pei, Guihai Feng, Yanping Hu, Qi Zhou, Ming Chen, Weixiang Guo, Yongjing Liu, Wei Li and Yuhuan Li and has published in prestigious journals such as Developmental Cell, Advanced Science and International Journal of Biological Macromolecules.

In The Last Decade

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

Fields of papers citing papers by Min Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Dai

Since Specialization
Citations

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