Ri Wen

29 papers and 462 indexed citations i.

About

Ri Wen is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Ri Wen has authored 29 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Epidemiology and 9 papers in Cancer Research. Recurrent topics in Ri Wen’s work include Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (4 papers) and Sepsis Diagnosis and Treatment (4 papers). Ri Wen is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (4 papers) and Sepsis Diagnosis and Treatment (4 papers). Ri Wen collaborates with scholars based in China, United States and Canada. Ri Wen's co-authors include Tie‐Ning Zhang, Chunfeng Liu, Ni Yang, Da Li, Jing Xia, Yongping Liu, Wei Wang, Qi‐Jun Wu, Julie E. Goodwin and Liying Zhang and has published in prestigious journals such as Circulation Research, The FASEB Journal and Kidney International.

In The Last Decade

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

Fields of papers citing papers by Ri Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ri Wen

Since Specialization
Citations

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