Mei Mei

About

Mei Mei is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mei Mei has authored 33 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 8 papers in Molecular Biology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mei Mei’s work include Hormonal Regulation and Hypertension (4 papers), Blood Pressure and Hypertension Studies (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Mei Mei is often cited by papers focused on Hormonal Regulation and Hypertension (4 papers), Blood Pressure and Hypertension Studies (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Mei Mei collaborates with scholars based in China, United States and Italy. Mei Mei's co-authors include Leimin Sun, Piaopiao Jin, Dan Liu, Qifu Li, Shumin Yang, Qingfeng Cheng, Ying Song, Ting Luo, Xiaoguang Chen and Jungui Dai and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Mei Mei i

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Fields of papers citing papers by Mei Mei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei Mei

Since Specialization

Citations

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