Mingyun Shen

15 papers and 973 indexed citations i.

About

Mingyun Shen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Mingyun Shen has authored 15 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 2 papers in Pharmacology. Recurrent topics in Mingyun Shen’s work include Protein Kinase Regulation and GTPase Signaling (7 papers), Computational Drug Discovery Methods (7 papers) and Protein Structure and Dynamics (4 papers). Mingyun Shen is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (7 papers), Computational Drug Discovery Methods (7 papers) and Protein Structure and Dynamics (4 papers). Mingyun Shen collaborates with scholars based in China, Macao and United States. Mingyun Shen's co-authors include Tingjun Hou, Youyong Li, Peichen Pan, Sheng Tian, Huiyong Sun, Lei Xu, Yan Guan, Dan Li, Huidong Yu and Liling Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Mingyun Shen i

Fields of papers citing papers by Mingyun Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mingyun Shen

Since Specialization
Citations

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