Long‐Can Mei

27 papers and 452 indexed citations i.

About

Long‐Can Mei is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Long‐Can Mei has authored 27 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Materials Chemistry and 5 papers in Biomedical Engineering. Recurrent topics in Long‐Can Mei’s work include Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers) and Nanoplatforms for cancer theranostics (5 papers). Long‐Can Mei is often cited by papers focused on Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers) and Nanoplatforms for cancer theranostics (5 papers). Long‐Can Mei collaborates with scholars based in China, Hong Kong and United States. Long‐Can Mei's co-authors include Guang‐Fu Yang, Yao Sun, Ge‐Fei Hao, Chonglu Li, Wen‐Chao Yang, Shiyu Liu, Jun Yin, Xiaoxing Xiong, Qian Li and Ji Hyeon Kim and has published in prestigious journals such as Angewandte Chemie International Edition, Advanced Functional Materials and Analytical Chemistry.

In The Last Decade

Co-authorship network of co-authors of Long‐Can Mei i

Fields of papers citing papers by Long‐Can Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long‐Can Mei

Since Specialization
Citations

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