Jun Sheng

230 papers and 4.7k indexed citations i.

About

Jun Sheng is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Plant Science. According to data from OpenAlex, Jun Sheng has authored 230 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Molecular Biology, 49 papers in Pathology and Forensic Medicine and 48 papers in Plant Science. Recurrent topics in Jun Sheng’s work include Tea Polyphenols and Effects (45 papers), Moringa oleifera research and applications (25 papers) and Bone Metabolism and Diseases (19 papers). Jun Sheng is often cited by papers focused on Tea Polyphenols and Effects (45 papers), Moringa oleifera research and applications (25 papers) and Bone Metabolism and Diseases (19 papers). Jun Sheng collaborates with scholars based in China, Japan and United States. Jun Sheng's co-authors include Xuanjun Wang, Yang Tian, Vitaly Citovsky, Yewei Huang, Huanhuan Xu, Xiaoyu Gao, Titi Liu, Jiang‐Miao Hu, Liang Tao and Peng Lei and has published in prestigious journals such as PLoS ONE, The Plant Cell and Biochemical Journal.

In The Last Decade

Co-authorship network of co-authors of Jun Sheng i

Fields of papers citing papers by Jun Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Sheng

Since Specialization
Citations

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