Min Shen

88 papers and 1.2k indexed citations i.

About

Min Shen is a scholar working on Toxicology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine. According to data from OpenAlex, Min Shen has authored 88 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Toxicology, 16 papers in Endocrinology, Diabetes and Metabolism and 16 papers in Pathology and Forensic Medicine. Recurrent topics in Min Shen’s work include Forensic Toxicology and Drug Analysis (45 papers), Hormonal and reproductive studies (16 papers) and Alcohol Consumption and Health Effects (14 papers). Min Shen is often cited by papers focused on Forensic Toxicology and Drug Analysis (45 papers), Hormonal and reproductive studies (16 papers) and Alcohol Consumption and Health Effects (14 papers). Min Shen collaborates with scholars based in China, United States and Australia. Min Shen's co-authors include Ping Xiang, Baohua Shen, Yan Shi, Hui Yan, Olaf H. Drummer, Xianyi Zhuo, Chen Wang, Yunfeng Rui, Song Zhao and Hui Chen and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Ethnopharmacology.

In The Last Decade

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

Fields of papers citing papers by Min Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Shen

Since Specialization
Citations

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