Yun Dai

36 papers and 804 indexed citations i.

About

Yun Dai is a scholar working on Molecular Biology, Plant Science and Physiology. According to data from OpenAlex, Yun Dai has authored 36 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Plant Science and 12 papers in Physiology. Recurrent topics in Yun Dai’s work include Birth, Development, and Health (9 papers), Plant-Microbe Interactions and Immunity (6 papers) and Adipose Tissue and Metabolism (6 papers). Yun Dai is often cited by papers focused on Birth, Development, and Health (9 papers), Plant-Microbe Interactions and Immunity (6 papers) and Adipose Tissue and Metabolism (6 papers). Yun Dai collaborates with scholars based in China, United States and Japan. Yun Dai's co-authors include M. Daniel Lane, Sherin U. Devaskar, Michael J. Wolfgang, Seung Hun, Bo‐Chul Shin, Akira Suwa, Teruhiko Shimokawa, Takeshi Kurama, Makoto Asaumi and Manikkavasagar Thamotharan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

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

Fields of papers citing papers by Yun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yun Dai

Since Specialization
Citations

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