Jun Kai

17 papers and 355 indexed citations i.

About

Jun Kai is a scholar working on Molecular Biology, Epidemiology and Complementary and alternative medicine. According to data from OpenAlex, Jun Kai has authored 17 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Epidemiology and 5 papers in Complementary and alternative medicine. Recurrent topics in Jun Kai’s work include Liver Disease Diagnosis and Treatment (7 papers), Traditional Chinese Medicine Analysis (5 papers) and Cancer-related molecular mechanisms research (3 papers). Jun Kai is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Traditional Chinese Medicine Analysis (5 papers) and Cancer-related molecular mechanisms research (3 papers). Jun Kai collaborates with scholars based in China, United States and Macao. Jun Kai's co-authors include Jin‐Ao Duan, Zhang Li, Yuping Tang, Anping Chen, Shizhong Zheng, Jiangjuan Shao, Zili Zhang, Feixia Wang, Yang Xiang and Zhimin Wang and has published in prestigious journals such as Free Radical Biology and Medicine, International Journal of Molecular Sciences and Life Sciences.

In The Last Decade

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

Fields of papers citing papers by Jun Kai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Kai

Since Specialization
Citations

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