Ru Yan
Impact in
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- Traditional Chinese Medicine Analysis
- Pharmacology top 0.5%
- Pharmacological Effects of Natural Compounds
Papers in
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- Traditional Chinese Medicine Analysis 21
- Pharmacology 19
- Pharmacogenetics and Drug Metabolism 9
- Co-authors
- Zhixiang Yan (19 shared papers)Ge Lin (9 shared papers)Wenqiang Guan (1 shared paper)Shunqing Tang (1 shared paper)Cynthia P. Quan (1 shared paper)Sam Fong Yau Li (1 shared paper)Yuelin Song (13 shared papers)Yitao Wang (10 shared papers)
In The Last Decade
Ru Yan
128 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 157
- Complementary and alternative medicine 701
- Pharmacology 573
- Pharmaceutical Science 249
- Biochemistry 186
- Molecular Biology 1.8k
Countries citing papers authored by Ru Yan
This map shows the geographic impact of Ru Yan'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 Ru Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ru Yan more than expected).
Fields of papers citing papers by Ru Yan
This network shows the impact of papers produced by Ru Yan. 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 Ru Yan. The network helps show where Ru Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ru Yan, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 404 | |
| 2 | 2017 | 187 | |
| 3 | 2016 | 177 | |
| 4 | 2012 | 170 | |
| 5 | 2007 | 119 | |
| 6 | 2003 | 101 | |
| 7 | 2023 | 99 | |
| 8 | 2018 | 94 | |
| 9 | 2016 | 88 | |
| 10 | 2004 | 84 | |
| 11 | 2013 | 77 | |
| 12 | 2012 | 69 | |
| 13 | 2010 | 65 | |
| 14 | 2018 | 64 | |
| 15 | 2018 | 58 | |
| 16 | 2021 | 56 | |
| 17 | 2013 | 54 | |
| 18 | 2019 | 54 | |
| 19 | 2018 | 54 | |
| 20 | 2014 | 53 |
About Ru Yan
Ru Yan is a scholar working on Complementary and alternative medicine, Pharmacology, Molecular Biology, Plant Science and Spectroscopy, having authored 131 papers that have together received 4.4k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (21 papers), Natural product bioactivities and synthesis (17 papers), Ginseng Biological Effects and Applications (13 papers), Analytical Chemistry and Chromatography (10 papers), Gut microbiota and health (10 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Plant chemical constituents analysis (8 papers). The work is most often cited by research in Complementary and alternative medicine (701 citations), Pharmacology (573 citations), Pharmaceutical Science (249 citations), Biochemistry (186 citations) and Molecular Biology (1.8k citations). Ru Yan has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Zhixiang Yan, Ge Lin, Wenqiang Guan, Shunqing Tang, Cynthia P. Quan, Sam Fong Yau Li, Yuelin Song, Yitao Wang, Wanghui Jing and Yitao Wang. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Journal of Ethnopharmacology, Chinese Medicine, Chemico-Biological Interactions and Bioorganic & Medicinal Chemistry.
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.