Wen Si

44 papers and 678 indexed citations i.

About

Wen Si is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Wen Si has authored 44 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Wen Si’s work include Cancer-related molecular mechanisms research (5 papers), Inflammasome and immune disorders (5 papers) and Chronic Kidney Disease and Diabetes (3 papers). Wen Si is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Inflammasome and immune disorders (5 papers) and Chronic Kidney Disease and Diabetes (3 papers). Wen Si collaborates with scholars based in China, Hong Kong and United States. Wen Si's co-authors include Qiuling Fan, Lulu Li, Hong Liu, Shuguang Yuan, Junlan Yang, Yanyun Zhu, Youliang Wang, Xuejing Zhu, Fuyou Liu and Lin Sun and has published in prestigious journals such as Green Chemistry, Archives of Biochemistry and Biophysics and Organic Letters.

In The Last Decade

Co-authorship network of co-authors of Wen Si i

Fields of papers citing papers by Wen Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wen Si

Since Specialization
Citations

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