Yao Mu

38 papers and 842 indexed citations i.

About

Yao Mu is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Yao Mu has authored 38 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Pharmacology and 5 papers in Oncology. Recurrent topics in Yao Mu’s work include Ubiquitin and proteasome pathways (9 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Yao Mu is often cited by papers focused on Ubiquitin and proteasome pathways (9 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Yao Mu collaborates with scholars based in China, Australia and United States. Yao Mu's co-authors include Qihan Dong, Hideaki Otsuka, K. Kamada, Yasuyuki Takeda, Chanlu Xie, Jianmin Wu, Chris Powell, Paul de Souza, Jeff Holst and Zhongyan Chen and has published in prestigious journals such as Analytical Chemistry, Clinical Cancer Research and Chemical Engineering Journal.

In The Last Decade

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

Fields of papers citing papers by Yao Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yao Mu

Since Specialization
Citations

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