Jun Tai
Impact in
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
- Physiology top 10%
- Obstructive Sleep Apnea Research
Papers in
- Physiology 28
- Obstructive Sleep Apnea Research 24
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- Advanced biosensing and bioanalysis techniques 5
- CRISPR and Genetic Engineering 5
- Co-authors
- Xin Ni (47 shared papers)Yi Wang (15 shared papers)Shengcai Wang (38 shared papers)Xiong Zhu (7 shared papers)Yongli Guo (30 shared papers)Shijun Li (4 shared papers)Zhifei Xu (16 shared papers)Jieqiong Li (6 shared papers)
- Journals
- International Journal of Pediatric Otorhinolaryngology (5 papers)Sleep Medicine (4 papers)Science China Life Sciences (3 papers)The Laryngoscope (3 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Tai
111 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 140
- Endocrine and Autonomic Systems 89
- Physiology 241
- Cancer Research 112
- Infectious Diseases 132
- Business and International Management 15
Countries citing papers authored by Jun Tai
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).
Fields of papers citing papers by Jun Tai
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.
Co-authors
The 25 scholars most cited alongside Jun Tai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 100 | |
| 2 | 2020 | 77 | |
| 3 | 2021 | 70 | |
| 4 | 2021 | 68 | |
| 5 | 2018 | 63 | |
| 6 | 2022 | 49 | |
| 7 | 2021 | 40 | |
| 8 | 2009 | 37 | |
| 9 | 2022 | 36 | |
| 10 | 2016 | 36 | |
| 11 | 2011 | 35 | |
| 12 | 2021 | 34 | |
| 13 | 2019 | 31 | |
| 14 | 2018 | 29 | |
| 15 | 2017 | 27 | |
| 16 | 2020 | 24 | |
| 17 | 2020 | 24 | |
| 18 | 2022 | 22 | |
| 19 | 2023 | 21 | |
| 20 | 2022 | 21 |
About Jun Tai
Jun Tai is a scholar working on Physiology, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Infectious Diseases, having authored 119 papers that have together received 1.5k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (24 papers), Thyroid Cancer Diagnosis and Treatment (9 papers), Vascular Malformations and Hemangiomas (5 papers), Neuroscience of respiration and sleep (5 papers), Head and Neck Anomalies (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), CRISPR and Genetic Engineering (5 papers) and Municipal Solid Waste Management (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (89 citations), Physiology (241 citations), Cancer Research (112 citations), Infectious Diseases (132 citations) and Business and International Management (15 citations). Jun Tai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xin Ni, Yi Wang, Shengcai Wang, Xiong Zhu, Yongli Guo, Shijun Li, Zhifei Xu, Jieqiong Li, Wentong Ge and Xiaodan Li. Their work appears in journals such as International Journal of Pediatric Otorhinolaryngology, Sleep Medicine, Science China Life Sciences, The Laryngoscope and Frontiers in Immunology.
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.