Yu Shi

38 papers and 918 indexed citations i.

About

Yu Shi is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yu Shi has authored 38 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Yu Shi’s work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (7 papers) and Mathematical Biology Tumor Growth (5 papers). Yu Shi is often cited by papers focused on MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (7 papers) and Mathematical Biology Tumor Growth (5 papers). Yu Shi collaborates with scholars based in China, United States and Japan. Yu Shi's co-authors include Fanxin Long, David M. Ornitz, Osamu Tokunaga, Jenna N. Regan, Kannan Karuppaiah, Jianquan Chen, Xinghua Long, Peng Ye, Xinping Xiao and Jianghui Wen and has published in prestigious journals such as PLoS ONE, The FASEB Journal and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Yu Shi i

Fields of papers citing papers by Yu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yu Shi

Since Specialization
Citations

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