Kun‐Liang Guan

421 papers and 85.9k indexed citations i.

About

Kun‐Liang Guan is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Kun‐Liang Guan has authored 421 papers receiving a total of 85.9k indexed citations (citations by other indexed papers that have themselves been cited), including 298 papers in Molecular Biology, 142 papers in Cell Biology and 57 papers in Cancer Research. Recurrent topics in Kun‐Liang Guan’s work include Hippo pathway signaling and YAP/TAZ (112 papers), PI3K/AKT/mTOR signaling in cancer (73 papers) and Protein Kinase Regulation and GTPase Signaling (56 papers). Kun‐Liang Guan is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (112 papers), PI3K/AKT/mTOR signaling in cancer (73 papers) and Protein Kinase Regulation and GTPase Signaling (56 papers). Kun‐Liang Guan collaborates with scholars based in United States, China and Japan. Kun‐Liang Guan's co-authors include Ken Inoki, Joungmok Kim, Bin Zhao, Fa‐Xing Yu, Yue Xiong, Benoı̂t Viollet, Mondira Kundu, Tianqing Zhu, Young Chul Kim and Zhipeng Meng and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

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

Fields of papers citing papers by Kun‐Liang Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun‐Liang Guan

Since Specialization
Citations

This map shows the geographic impact of Kun‐Liang Guan'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 Guan 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 Guan 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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