Mei Su

35 papers and 524 indexed citations i.

About

Mei Su is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Mei Su has authored 35 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Organic Chemistry and 7 papers in Oncology. Recurrent topics in Mei Su’s work include Cytokine Signaling Pathways and Interactions (4 papers), Psoriasis: Treatment and Pathogenesis (3 papers) and Traditional Chinese Medicine Analysis (3 papers). Mei Su is often cited by papers focused on Cytokine Signaling Pathways and Interactions (4 papers), Psoriasis: Treatment and Pathogenesis (3 papers) and Traditional Chinese Medicine Analysis (3 papers). Mei Su collaborates with scholars based in China, United States and United Kingdom. Mei Su's co-authors include Wensheng Yu, Zhendong Jin, Tao Chen, Hong Yan, Yiping Wang, Zhengmao Hua, Yanling Ma, Michael Zinda, Geraldine Bebernitz and Wenyu Wu and has published in prestigious journals such as PLoS ONE, Journal of Medicinal Chemistry and British Journal of Pharmacology.

In The Last Decade

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

Fields of papers citing papers by Mei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei Su

Since Specialization
Citations

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