Lin Mu

46 papers and 609 indexed citations i.

About

Lin Mu is a scholar working on Molecular Biology, Reproductive Medicine and Cancer Research. According to data from OpenAlex, Lin Mu has authored 46 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Reproductive Medicine and 10 papers in Cancer Research. Recurrent topics in Lin Mu’s work include Endometriosis Research and Treatment (10 papers), Cancer-related molecular mechanisms research (7 papers) and MicroRNA in disease regulation (6 papers). Lin Mu is often cited by papers focused on Endometriosis Research and Treatment (10 papers), Cancer-related molecular mechanisms research (7 papers) and MicroRNA in disease regulation (6 papers). Lin Mu collaborates with scholars based in China, United States and Germany. Lin Mu's co-authors include Wei Zheng, Jianhui Zhong, Yuhui Yuan, Hongjian He, Tianjiao Wang, Suzhan Zhang, Giovanni Schifitto, Liang Wang, Jing Ding and Yanwei Chen and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and The American Journal of Sports Medicine.

In The Last Decade

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

Fields of papers citing papers by Lin Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lin Mu

Since Specialization
Citations

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