Suyu Mei

30 papers and 524 indexed citations i.

About

Suyu Mei is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Suyu Mei has authored 30 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 3 papers in Pharmacology. Recurrent topics in Suyu Mei’s work include Machine Learning in Bioinformatics (19 papers), Bioinformatics and Genomic Networks (17 papers) and Computational Drug Discovery Methods (13 papers). Suyu Mei is often cited by papers focused on Machine Learning in Bioinformatics (19 papers), Bioinformatics and Genomic Networks (17 papers) and Computational Drug Discovery Methods (13 papers). Suyu Mei collaborates with scholars based in China, United States and Spain. Suyu Mei's co-authors include Hao Zhu, Kun Zhang, Fei Wang, Shuigeng Zhou, Erik K. Flemington, Kun Zhang and Kun Zhang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Suyu Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suyu Mei

Since Specialization
Citations

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