Jun Kai
Impact in
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
-
- Traditional Chinese Medicine Analysis
Papers in
-
- Bioactive Natural Diterpenoids Research 2
- Inflammasome and immune disorders 2
- Metabolomics and Mass Spectrometry Studies 2
-
- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Jin‐Ao Duan (8 shared papers)Zhang Li (7 shared papers)Yuping Tang (7 shared papers)Jiangjuan Shao (7 shared papers)Shizhong Zheng (6 shared papers)Anping Chen (6 shared papers)Zili Zhang (6 shared papers)Zhimin Wang (5 shared papers)
- Journals
- Journal of Ethnopharmacology (2 papers)Andrologia (1 paper)Cell Proliferation (1 paper)Journal of Pharmaceutical and Biomedical Analysis (1 paper)The American Journal of Chinese Medicine (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Jun Kai
17 papers receiving 405 citations
Peers
Comparison fields: 5 of 69
- Pharmacology 75
- Complementary and alternative medicine 49
- Hepatology 40
- Molecular Biology 219
- Epidemiology 81
Countries citing papers authored by Jun Kai
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).
Fields of papers citing papers by Jun Kai
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.
Co-authors
The 25 scholars most cited alongside Jun Kai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 75 | |
| 2 | 2015 | 47 | |
| 3 | 2016 | 44 | |
| 4 | 2020 | 41 | |
| 5 | 2017 | 32 | |
| 6 | 2016 | 29 | |
| 7 | 2020 | 28 | |
| 8 | 2015 | 27 | |
| 9 | 2017 | 21 | |
| 10 | 2022 | 16 | |
| 11 | 2015 | 14 | |
| 12 | 2015 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2023 | 5 | |
| 15 | 2014 | 4 | |
| 16 | [Artificial intelligence-based fluorescence method versus traditional flow cytometry in detection of sperm DNA fragmentation index]. | 2022 | 2 |
| 17 | 2019 | 1 |
About Jun Kai
Jun Kai is a scholar working on Molecular Biology, Epidemiology, Complementary and alternative medicine, Pharmacology and Hepatology, having authored 17 papers that have together received 408 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Traditional Chinese Medicine Analysis (5 papers), Cancer-related molecular mechanisms research (3 papers), Bioactive Natural Diterpenoids Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Liver physiology and pathology (2 papers), Inflammasome and immune disorders (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Pharmacology (75 citations), Complementary and alternative medicine (49 citations), Hepatology (40 citations), Molecular Biology (219 citations) and Epidemiology (81 citations). Jun Kai has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jin‐Ao Duan, Zhang Li, Yuping Tang, Jiangjuan Shao, Shizhong Zheng, Anping Chen, Zili Zhang, Zhimin Wang, Shanzhong Tan and Yang Xiang. Their work appears in journals such as Journal of Ethnopharmacology, Andrologia, Cell Proliferation, Journal of Pharmaceutical and Biomedical Analysis and The American Journal of Chinese Medicine.
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.