Jun Kai
Impact in
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
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- Traditional Chinese Medicine Analysis
Papers in
-
- Metabolomics and Mass Spectrometry Studies 3
- Bioactive Natural Diterpenoids Research 2
- Natural product bioactivities and synthesis 2
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- Liver Disease Diagnosis and Treatment 7
- Co-authors
- Jin‐Ao Duan (8 shared papers)Zhang Li (7 shared papers)Yuping Tang (7 shared papers)Anping Chen (7 shared papers)Jiangjuan Shao (7 shared papers)Shizhong Zheng (7 shared papers)Zili Zhang (6 shared papers)Juan Shen (5 shared papers)
- Journals
- Journal of Ethnopharmacology (2 papers)Phytotherapy Research (1 paper)International Journal of Molecular Sciences (1 paper)Free Radical Biology and Medicine (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Jun Kai
17 papers receiving 382 citations
Peers
Comparison fields: 5 of 74
- Pharmacology 86
- Complementary and alternative medicine 53
- Hepatology 45
- Molecular Biology 242
- Cancer Research 43
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 | 72 | |
| 2 | 2015 | 46 | |
| 3 | 2016 | 40 | |
| 4 | 2020 | 39 | |
| 5 | 2017 | 30 | |
| 6 | 2016 | 28 | |
| 7 | 2015 | 27 | |
| 8 | 2020 | 24 | |
| 9 | 2017 | 18 | |
| 10 | 2022 | 14 | |
| 11 | 2015 | 14 | |
| 12 | 2015 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2023 | 4 | |
| 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, Cancer Research and Pharmacology, having authored 17 papers that have together received 384 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Traditional Chinese Medicine Analysis (5 papers), Cancer-related molecular mechanisms research (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Plant-based Medicinal Research (3 papers), Phytochemistry and Biological Activities (2 papers), Bioactive Natural Diterpenoids Research (2 papers) and Natural product bioactivities and synthesis (2 papers). The work is most often cited by research in Pharmacology (86 citations), Complementary and alternative medicine (53 citations), Hepatology (45 citations), Molecular Biology (242 citations) and Cancer Research (43 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, Anping Chen, Jiangjuan Shao, Shizhong Zheng, Zili Zhang, Juan Shen, Zhimin Wang and Yang Xiang. Their work appears in journals such as Journal of Ethnopharmacology, Phytotherapy Research, International Journal of Molecular Sciences, Free Radical Biology and Medicine and International Immunopharmacology.
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.