Sen Ren

26 papers and 792 indexed citations i.

About

Sen Ren is a scholar working on Molecular Biology, Cancer Research and Rehabilitation. According to data from OpenAlex, Sen Ren has authored 26 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Rehabilitation. Recurrent topics in Sen Ren’s work include Extracellular vesicles in disease (9 papers), Wound Healing and Treatments (7 papers) and MicroRNA in disease regulation (6 papers). Sen Ren is often cited by papers focused on Extracellular vesicles in disease (9 papers), Wound Healing and Treatments (7 papers) and MicroRNA in disease regulation (6 papers). Sen Ren collaborates with scholars based in China, Hong Kong and Germany. Sen Ren's co-authors include Zhenbing Chen, Jing Chen, Hans‐Günther Machens, Hewei Xiong, Yu Kang, Cheng Wang, Dominik Duscher, Guojun Guo, Xiaofan Yang and Yang Wang and has published in prestigious journals such as PLoS ONE, Life Sciences and Journal of Cellular Physiology.

In The Last Decade

Co-authorship network of co-authors of Sen Ren i

Fields of papers citing papers by Sen Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sen Ren

Since Specialization
Citations

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