Kun Hao
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
-
- Traditional Chinese Medicine Analysis
Papers in
- Pharmacology 16
- Pharmacological Effects of Natural Compounds 7
- Pharmacogenetics and Drug Metabolism 7
- Drug-Induced Hepatotoxicity and Protection 5
- Oncology 8
- Drug Transport and Resistance Mechanisms 7
- Co-authors
- Guangji Wang (20 shared papers)Wenjiao Jiang (12 shared papers)Qinghua Hu (7 shared papers)Haiping Hao (8 shared papers)Mengze Zhou (7 shared papers)Yilin Sun (7 shared papers)Hanwen Li (4 shared papers)Peijin Li (4 shared papers)
- Journals
- Chinese Journal of Natural Medicines (4 papers)Biomedicine & Pharmacotherapy (4 papers)British Journal of Pharmacology (3 papers)Acta Pharmacologica Sinica (3 papers)Pharmaceutics (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kun Hao
47 papers receiving 1k citations
Peers
Comparison fields: 5 of 89
- Physiology 56
- Complementary and alternative medicine 118
- Drug Discovery 3
- Pharmacology 96
- Nephrology 76
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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 138 | |
| 2 | 2017 | 66 | |
| 3 | 2020 | 62 | |
| 4 | 2020 | 61 | |
| 5 | 2024 | 53 | |
| 6 | 2019 | 45 | |
| 7 | 2016 | 42 | |
| 8 | 2006 | 38 | |
| 9 | 2015 | 38 | |
| 10 | 2014 | 34 | |
| 11 | 2010 | 33 | |
| 12 | 2013 | 28 | |
| 13 | 2013 | 27 | |
| 14 | 2019 | 26 | |
| 15 | 2016 | 25 | |
| 16 | 2016 | 21 | |
| 17 | 2021 | 20 | |
| 18 | 2013 | 19 | |
| 19 | 2019 | 19 | |
| 20 | 2021 | 19 |
About Kun Hao
Kun Hao is a scholar working on Pharmacology, Oncology, Nephrology, Cardiology and Cardiovascular Medicine and Complementary and alternative medicine, having authored 49 papers that have together received 1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (7 papers), Pharmacological Effects of Natural Compounds (7 papers), Pharmacogenetics and Drug Metabolism (7 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Gout, Hyperuricemia, Uric Acid (5 papers), Chemotherapy-induced cardiotoxicity and mitigation (4 papers), Nanoparticle-Based Drug Delivery (4 papers) and Traditional Chinese Medicine Analysis (4 papers). The work is most often cited by research in Physiology (56 citations), Complementary and alternative medicine (118 citations), Drug Discovery (3 citations), Pharmacology (96 citations) and Nephrology (76 citations). Kun Hao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guangji Wang, Wenjiao Jiang, Qinghua Hu, Haiping Hao, Mengze Zhou, Yilin Sun, Hanwen Li, Peijin Li, Lin Ying Xie and Xiaoquan Liu. Their work appears in journals such as Chinese Journal of Natural Medicines, Biomedicine & Pharmacotherapy, British Journal of Pharmacology, Acta Pharmacologica Sinica and Pharmaceutics.
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.