Ou Dai
Impact in
- Pharmacology top 5%
- Plant-based Medicinal Research
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- Traditional Chinese Medicine Analysis
Papers in
-
- Natural product bioactivities and synthesis 7
- Bioactive Natural Diterpenoids Research 4
- Ginseng Biological Effects and Applications 3
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- Phytochemistry and Biological Activities 7
- Co-authors
- Liang Xiong (20 shared papers)Cheng Peng (21 shared papers)Qin‐Mei Zhou (13 shared papers)Li Guo (9 shared papers)Xiaofang Xie (5 shared papers)Chengjun He (4 shared papers)Jinfeng Chen (1 shared paper)Fei Liu (1 shared paper)
- Journals
- Molecules (6 papers)Phytochemistry Letters (5 papers)Journal of Ethnopharmacology (4 papers)Fitoterapia (1 paper)Phytochemistry (1 paper)
- Partner nations
- China
In The Last Decade
Ou Dai
23 papers receiving 427 citations
Peers
Comparison fields: 5 of 69
- Pharmacology 96
- Complementary and alternative medicine 57
- Pharmacology 75
- Molecular Biology 205
- Plant Science 112
Countries citing papers authored by Ou Dai
This map shows the geographic impact of Ou 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 Ou Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ou Dai more than expected).
Fields of papers citing papers by Ou Dai
This network shows the impact of papers produced by Ou 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 Ou Dai. The network helps show where Ou Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ou 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 97 | |
| 2 | 2013 | 69 | |
| 3 | 2012 | 51 | |
| 4 | 2013 | 36 | |
| 5 | 2019 | 29 | |
| 6 | 2017 | 20 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 16 | |
| 9 | 2023 | 16 | |
| 10 | 2018 | 13 | |
| 11 | 2021 | 9 | |
| 12 | 2018 | 9 | |
| 13 | 2013 | 9 | |
| 14 | 2022 | 8 | |
| 15 | Polymorphism of prolactin gene and its relationship with prolificacy of small tail han sheep | 2010 | 6 |
| 16 | 2022 | 6 | |
| 17 | 2022 | 4 | |
| 18 | 2016 | 4 | |
| 19 | Effects of Angelica Oil and the Isolated Butylphthalides on Glutamate-induced Neurotoxicity in PC12 Cells | 2017 | 4 |
| 20 | 2013 | 4 |
About Ou Dai
Ou Dai is a scholar working on Molecular Biology, Plant Science, Pharmacology, Pharmacology and Complementary and alternative medicine, having authored 28 papers that have together received 433 indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (7 papers), Natural product bioactivities and synthesis (7 papers), Plant-based Medicinal Research (5 papers), Bioactive Natural Diterpenoids Research (4 papers), Biological and pharmacological studies of plants (4 papers), Traditional Chinese Medicine Analysis (3 papers), Ginseng Biological Effects and Applications (3 papers) and Alkaloids: synthesis and pharmacology (3 papers). The work is most often cited by research in Pharmacology (96 citations), Complementary and alternative medicine (57 citations), Pharmacology (75 citations), Molecular Biology (205 citations) and Plant Science (112 citations). Ou Dai has collaborated with scholars based in China. Frequent co-authors include Liang Xiong, Cheng Peng, Qin‐Mei Zhou, Li Guo, Xiaofang Xie, Chengjun He, Jinfeng Chen, Fei Liu, Fei Zhou and Xiaohong Li. Their work appears in journals such as Molecules, Phytochemistry Letters, Journal of Ethnopharmacology, Fitoterapia and Phytochemistry.
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.