Kun Mu

55 papers and 1.4k indexed citations i.

About

Kun Mu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Kun Mu has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 18 papers in Oncology and 13 papers in Cancer Research. Recurrent topics in Kun Mu’s work include Cancer-related Molecular Pathways (6 papers), Breast Cancer Treatment Studies (5 papers) and Circular RNAs in diseases (5 papers). Kun Mu is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Breast Cancer Treatment Studies (5 papers) and Circular RNAs in diseases (5 papers). Kun Mu collaborates with scholars based in China, United States and Sweden. Kun Mu's co-authors include Wei Zhao, Lihui Han, Pengbo Guo, Tao Li, Wanwan Huai, Qing Wei, Ying Zhang, Zhaowen Yang, Xiaoqing Jia and Yumin Qiu and has published in prestigious journals such as The Journal of Experimental Medicine, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

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

Fields of papers citing papers by Kun Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Mu

Since Specialization
Citations

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