Kun Hao
Impact in
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
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- Traditional Chinese Medicine Analysis
Papers in
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- Ginseng Biological Effects and Applications 6
- Natural product bioactivities and synthesis 3
- Metabolomics and Mass Spectrometry Studies 3
- Extracellular vesicles in disease 3
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- Pharmacological Effects of Natural Compounds 3
- Co-authors
- Guangji Wang (12 shared papers)Wenjiao Jiang (6 shared papers)Peijin Li (3 shared papers)Jingyan Liu (2 shared papers)Tianhua Yan (2 shared papers)Yeliu Fu (1 shared paper)Fen Luo (1 shared paper)Xiaofan Wang (1 shared paper)
- Journals
- European Journal of Pharmaceutical Sciences (2 papers)Oncotarget (2 papers)Biomedical Chromatography (2 papers)Cell Metabolism (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited KingdomJapan
In The Last Decade
Kun Hao
35 papers receiving 813 citations
Peers
Comparison fields: 5 of 105
- Pharmacology 136
- Complementary and alternative medicine 105
- Biological Psychiatry 29
- Behavioral Neuroscience 23
- Molecular Biology 433
Countries citing papers authored by Kun Hao
This map shows the geographic impact of Kun Hao'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 Kun Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Hao more than expected).
Fields of papers citing papers by Kun Hao
This network shows the impact of papers produced by Kun Hao. 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 Kun Hao. The network helps show where Kun Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Hao, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 175 | |
| 2 | 2018 | 70 | |
| 3 | 2012 | 60 | |
| 4 | 2008 | 46 | |
| 5 | 2019 | 39 | |
| 6 | 2013 | 35 | |
| 7 | 2007 | 35 | |
| 8 | 2019 | 35 | |
| 9 | 2014 | 33 | |
| 10 | 2016 | 33 | |
| 11 | 2017 | 30 | |
| 12 | 2020 | 27 | |
| 13 | 2024 | 26 | |
| 14 | 2019 | 26 | |
| 15 | 2016 | 22 | |
| 16 | 2011 | 20 | |
| 17 | 2024 | 17 | |
| 18 | 2007 | 14 | |
| 19 | 2022 | 11 | |
| 20 | 2006 | 11 |
About Kun Hao
Kun Hao is a scholar working on Molecular Biology, Pharmacology, Pharmacology, Complementary and alternative medicine and Surgery, having authored 36 papers that have together received 820 indexed citations. Recurring topics across this work include Ginseng Biological Effects and Applications (6 papers), Traditional Chinese Medicine Analysis (5 papers), Natural product bioactivities and synthesis (3 papers), MicroRNA in disease regulation (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Extracellular vesicles in disease (3 papers), Pharmacological Effects of Natural Compounds (3 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Pharmacology (136 citations), Complementary and alternative medicine (105 citations), Biological Psychiatry (29 citations), Behavioral Neuroscience (23 citations) and Molecular Biology (433 citations). Kun Hao has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Guangji Wang, Wenjiao Jiang, Peijin Li, Jingyan Liu, Tianhua Yan, Yeliu Fu, Fen Luo, Xiaofan Wang, Xuansheng Ding and Yan Liang. Their work appears in journals such as European Journal of Pharmaceutical Sciences, Oncotarget, Biomedical Chromatography, Cell Metabolism and Clinical Cancer Research.
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.