Yi Dai
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 29
- Pharmacology 32
- Medicinal Plant Pharmacodynamics Research 14
- Pharmacological Effects of Natural Compounds 11
- Co-authors
- Xin‐Sheng Yao (80 shared papers)Zhihong Yao (51 shared papers)Xin‐Sheng Yao (41 shared papers)Yang Yu (20 shared papers)Zifei Qin (23 shared papers)Wen‐Cai Ye (19 shared papers)Ling Qin (9 shared papers)Hao Gao (13 shared papers)
In The Last Decade
Yi Dai
167 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 125
- Complementary and alternative medicine 664
- Pharmacology 624
- Biochemistry 230
- Molecular Biology 2.3k
- Toxicology 113
Countries citing papers authored by Yi Dai
This map shows the geographic impact of Yi Dai'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 Yi Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Dai more than expected).
Fields of papers citing papers by Yi Dai
This network shows the impact of papers produced by Yi Dai. 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 Yi Dai. The network helps show where Yi Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Dai, 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 172 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 230 | |
| 2 | 2018 | 150 | |
| 3 | 2016 | 94 | |
| 4 | 2014 | 87 | |
| 5 | 2009 | 81 | |
| 6 | 2021 | 65 | |
| 7 | 2012 | 62 | |
| 8 | 2012 | 62 | |
| 9 | 2010 | 58 | |
| 10 | 2010 | 58 | |
| 11 | 2014 | 57 | |
| 12 | 2013 | 55 | |
| 13 | 2014 | 51 | |
| 14 | 2009 | 49 | |
| 15 | 2015 | 47 | |
| 16 | 2021 | 45 | |
| 17 | 2014 | 44 | |
| 18 | 2006 | 44 | |
| 19 | 2010 | 44 | |
| 20 | 2021 | 44 |
About Yi Dai
Yi Dai is a scholar working on Complementary and alternative medicine, Pharmacology, Toxicology, Molecular Biology and Plant Science, having authored 172 papers that have together received 3.9k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (61 papers), Phytochemistry and Biological Activities (40 papers), Traditional Chinese Medicine Analysis (29 papers), Medicinal Plant Pharmacodynamics Research (14 papers), Phytochemical Studies and Bioactivities (13 papers), Biological Activity of Diterpenoids and Biflavonoids (12 papers), Natural Compound Pharmacology Studies (11 papers) and Pharmacological Effects of Natural Compounds (11 papers). The work is most often cited by research in Complementary and alternative medicine (664 citations), Pharmacology (624 citations), Biochemistry (230 citations), Molecular Biology (2.3k citations) and Toxicology (113 citations). Yi Dai has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Xin‐Sheng Yao, Zhihong Yao, Xin‐Sheng Yao, Yang Yu, Zifei Qin, Wen‐Cai Ye, Ling Qin, Hao Gao, Yinghui Duan and Haifeng Chen. Their work appears in journals such as Fitoterapia, Journal of Asian Natural Products Research, Journal of Pharmaceutical and Biomedical Analysis, Journal of Separation Science and Chinese Journal of Natural Medicines.
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.