Wu Kun

49 papers and 542 indexed citations i.

About

Wu Kun is a scholar working on Molecular Biology, Cognitive Neuroscience and Plant Science. According to data from OpenAlex, Wu Kun has authored 49 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cognitive Neuroscience and 5 papers in Plant Science. Recurrent topics in Wu Kun’s work include Cognitive Science and Education Research (6 papers), Biopolymer Synthesis and Applications (3 papers) and Enzyme-mediated dye degradation (3 papers). Wu Kun is often cited by papers focused on Cognitive Science and Education Research (6 papers), Biopolymer Synthesis and Applications (3 papers) and Enzyme-mediated dye degradation (3 papers). Wu Kun collaborates with scholars based in China, Canada and France. Wu Kun's co-authors include Shimin Zhang, Xuanzhen Li, Guixiao La, Youjing Wang, Joseph E. Brenner, Jinfeng Han, Hao Yu, Huashan Liu, Yuan Yuan and Xiaolin Zhang and has published in prestigious journals such as Nature Communications, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Co-authorship network of co-authors of Wu Kun i

Fields of papers citing papers by Wu Kun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wu Kun

Since Specialization
Citations

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