Kun Shi

14 papers and 334 indexed citations i.

About

Kun Shi is a scholar working on Plant Science, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Kun Shi has authored 14 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 8 papers in Molecular Biology and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Kun Shi’s work include Plant Gene Expression Analysis (7 papers), Plant Molecular Biology Research (6 papers) and Plant Stress Responses and Tolerance (4 papers). Kun Shi is often cited by papers focused on Plant Gene Expression Analysis (7 papers), Plant Molecular Biology Research (6 papers) and Plant Stress Responses and Tolerance (4 papers). Kun Shi collaborates with scholars based in China, New Zealand and Kenya. Kun Shi's co-authors include Xiaodong Zheng, Jin Kong, Dongqian Shan, Haixia Zhang, Tianci Yan, Yan Guo, Lin Wang, Lin Wang, Yu Zhao and Zehui Hu and has published in prestigious journals such as PLANT PHYSIOLOGY, The Plant Journal and New Phytologist.

In The Last Decade

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

Fields of papers citing papers by Kun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Shi

Since Specialization
Citations

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