Ke‐Feng Ruan
Impact in
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- Traditional Chinese Medicine Analysis
- Pharmaceutical Science top 5%
- Drug Solubulity and Delivery Systems
Papers in
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- Traditional Chinese Medicine Analysis 6
- Traditional Chinese Medicine Studies 3
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- Pharmacological Effects of Natural Compounds 4
- Co-authors
- Yi Feng (20 shared papers)XU De-sheng (14 shared papers)Xiao Lin (11 shared papers)Lan Shen (12 shared papers)Shuo Wang (2 shared papers)Yuan Wang (4 shared papers)Yi Feng (5 shared papers)Wenjuan Cong (5 shared papers)
In The Last Decade
Ke‐Feng Ruan
41 papers receiving 764 citations
Peers
Comparison fields: 5 of 88
- Complementary and alternative medicine 83
- Pharmaceutical Science 59
- Pharmacology 76
- Endocrinology, Diabetes and Metabolism 86
- Molecular Biology 352
Countries citing papers authored by Ke‐Feng Ruan
This map shows the geographic impact of Ke‐Feng Ruan'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 Ke‐Feng Ruan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke‐Feng Ruan more than expected).
Fields of papers citing papers by Ke‐Feng Ruan
This network shows the impact of papers produced by Ke‐Feng Ruan. 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 Ke‐Feng Ruan. The network helps show where Ke‐Feng Ruan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke‐Feng Ruan, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 95 | |
| 2 | 2013 | 55 | |
| 3 | 2011 | 53 | |
| 4 | 2014 | 50 | |
| 5 | 2012 | 48 | |
| 6 | 2011 | 41 | |
| 7 | 2013 | 39 | |
| 8 | 2013 | 33 | |
| 9 | 2014 | 31 | |
| 10 | 2017 | 30 | |
| 11 | 2020 | 26 | |
| 12 | 2018 | 25 | |
| 13 | 2011 | 24 | |
| 14 | 2011 | 23 | |
| 15 | 2008 | 21 | |
| 16 | 2013 | 21 | |
| 17 | 2013 | 20 | |
| 18 | 2013 | 20 | |
| 19 | 2011 | 15 | |
| 20 | 2012 | 15 |
About Ke‐Feng Ruan
Ke‐Feng Ruan is a scholar working on Complementary and alternative medicine, Pharmacology, Pharmaceutical Science, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 41 papers that have together received 778 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (6 papers), Drug Solubulity and Delivery Systems (4 papers), Pharmacological Effects of Natural Compounds (4 papers), Traditional Chinese Medicine Studies (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Phytochemistry and Biological Activities (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Complementary and alternative medicine (83 citations), Pharmaceutical Science (59 citations), Pharmacology (76 citations), Endocrinology, Diabetes and Metabolism (86 citations) and Molecular Biology (352 citations). Ke‐Feng Ruan has collaborated with scholars based in China and Singapore. Frequent co-authors include Yi Feng, XU De-sheng, Xiao Lin, Lan Shen, Shuo Wang, Yuan Wang, Yi Feng, Wenjuan Cong, Zhaohui Xu and Hai Wei. Their work appears in journals such as Journal of Ethnopharmacology, International Journal of Biological Macromolecules, European Journal of Pharmaceutics and Biopharmaceutics, Evidence-based Complementary and Alternative Medicine and Phytotherapy 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.