Kun Liang

38 papers and 926 indexed citations i.

About

Kun Liang is a scholar working on Molecular Biology, Plant Science and Rheumatology. According to data from OpenAlex, Kun Liang has authored 38 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Plant Science and 7 papers in Rheumatology. Recurrent topics in Kun Liang’s work include Gene expression and cancer classification (7 papers), Plant responses to water stress (7 papers) and Psoriasis: Treatment and Pathogenesis (6 papers). Kun Liang is often cited by papers focused on Gene expression and cancer classification (7 papers), Plant responses to water stress (7 papers) and Psoriasis: Treatment and Pathogenesis (6 papers). Kun Liang collaborates with scholars based in China, Canada and United States. Kun Liang's co-authors include Sündüz Keleş, Vinod Chandran, Fazhan Qiu, Dan Nettleton, Feng Yu, Fang Tian, Hailiang Zhao, Fatima Abji, Dafna D. Gladman and Remy A. Pollock and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

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

Fields of papers citing papers by Kun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Liang

Since Specialization
Citations

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