Jun Tai

110 papers and 1.2k indexed citations i.

About

Jun Tai is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Jun Tai has authored 110 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Physiology, 25 papers in Pulmonary and Respiratory Medicine and 24 papers in Molecular Biology. Recurrent topics in Jun Tai’s work include Obstructive Sleep Apnea Research (24 papers), Neuroscience of respiration and sleep (17 papers) and Thyroid Cancer Diagnosis and Treatment (12 papers). Jun Tai is often cited by papers focused on Obstructive Sleep Apnea Research (24 papers), Neuroscience of respiration and sleep (17 papers) and Thyroid Cancer Diagnosis and Treatment (12 papers). Jun Tai collaborates with scholars based in China, Australia and United States. Jun Tai's co-authors include Xin Ni, Yi Wang, Shengcai Wang, Yongli Guo, Xiong Zhu, Shijun Li, Zhifei Xu, Xiaodan Li, Wentong Ge and Yaqiong Jin and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Advanced Functional Materials.

In The Last Decade

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

Fields of papers citing papers by Jun Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Tai

Since Specialization
Citations

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