Jing Wen

41 papers and 875 indexed citations i.

About

Jing Wen is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Jing Wen has authored 41 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Surgery and 6 papers in Physiology. Recurrent topics in Jing Wen’s work include Spinal Cord Injury Research (4 papers), Pain Mechanisms and Treatments (3 papers) and Microbial Fuel Cells and Bioremediation (3 papers). Jing Wen is often cited by papers focused on Spinal Cord Injury Research (4 papers), Pain Mechanisms and Treatments (3 papers) and Microbial Fuel Cells and Bioremediation (3 papers). Jing Wen collaborates with scholars based in China, United States and United Kingdom. Jing Wen's co-authors include Danxia Liu, Jing Liu, Jing Liu, Xiang Ling, Yong Yuan, Jian Sun, Yaping Zhang, Hongping Chen, Peng Fu and Lihua Zhou and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Jing Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Wen

Since Specialization
Citations

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