Kun Gao

55 papers and 1.0k indexed citations i.

About

Kun Gao is a scholar working on Molecular Biology, Nephrology and Plant Science. According to data from OpenAlex, Kun Gao has authored 55 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 11 papers in Nephrology and 7 papers in Plant Science. Recurrent topics in Kun Gao’s work include Connexins and lens biology (9 papers), Chronic Kidney Disease and Diabetes (5 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). Kun Gao is often cited by papers focused on Connexins and lens biology (9 papers), Chronic Kidney Disease and Diabetes (5 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). Kun Gao collaborates with scholars based in China, Japan and United States. Kun Gao's co-authors include Leaf Huang, Jian Yao, Yuan Chi, Masayuki Takeda, Enchao Zhou, Ping Xia, Qijing Wu, Wei Sun, Xiling Zhang and Jingjing Zhu and has published in prestigious journals such as Journal of Biological Chemistry, Nano Letters and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Kun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Gao

Since Specialization
Citations

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