Mei Mei

72 papers and 1.1k indexed citations i.

About

Mei Mei is a scholar working on Molecular Biology, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Mei Mei has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Computational Mechanics and 12 papers in Biomedical Engineering. Recurrent topics in Mei Mei’s work include Fluid Dynamics and Heat Transfer (6 papers), Fluid Dynamics and Mixing (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (5 papers). Mei Mei is often cited by papers focused on Fluid Dynamics and Heat Transfer (6 papers), Fluid Dynamics and Mixing (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (5 papers). Mei Mei collaborates with scholars based in China, United States and France. Mei Mei's co-authors include K.K. Bissada, Jingqiang Tan, Nicolas Dietrich, Gilles Hébrard, Zhenxia Du, Shuqin Liu, Ewa Szymczyk, Jianqiang Deng, Kai Liu and Karine Loubière and has published in prestigious journals such as Nature Communications, Langmuir and Journal of Hazardous Materials.

In The Last Decade

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

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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2025