Weibo Dai
Impact in
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- Tryptophan and brain disorders
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- Pharmacological Effects of Natural Compounds
Papers in
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- Natural product bioactivities and synthesis 7
- Gut microbiota and health 4
- Pharmacology 13
- Pharmacological Effects of Natural Compounds 9
- Drug-Induced Hepatotoxicity and Protection 3
- Co-authors
- Xianjing Hu (11 shared papers)Xin Liu (3 shared papers)Tingting Zhao (6 shared papers)Yan Zheng (2 shared papers)Lihua Peng (1 shared paper)Yuting Guo (1 shared paper)Hua Zhou (1 shared paper)Peng Sun (1 shared paper)
In The Last Decade
Weibo Dai
32 papers receiving 301 citations
Peers
Comparison fields: 5 of 75
- Biological Psychiatry 20
- Pharmacology 40
- Neurology 35
- Biochemistry 15
- Complementary and alternative medicine 20
Countries citing papers authored by Weibo Dai
This map shows the geographic impact of Weibo 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 Weibo Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weibo Dai more than expected).
Fields of papers citing papers by Weibo Dai
This network shows the impact of papers produced by Weibo 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 Weibo Dai. The network helps show where Weibo Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Weibo 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 44 | |
| 2 | 2022 | 26 | |
| 3 | 2017 | 24 | |
| 4 | 2021 | 21 | |
| 5 | 2020 | 20 | |
| 6 | 2023 | 20 | |
| 7 | 2021 | 19 | |
| 8 | Euscaphic acid inhibits proliferation and promotes apoptosis of nasopharyngeal carcinoma cells by silencing the PI3K/AKT/mTOR signaling pathway. | 2019 | 18 |
| 9 | 2016 | 18 | |
| 10 | 2022 | 12 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2016 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2023 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2010 | 3 | |
| 20 | 2024 | 3 |
About Weibo Dai
Weibo Dai is a scholar working on Molecular Biology, Pharmacology, Pharmacology, Complementary and alternative medicine and Biological Psychiatry, having authored 37 papers that have together received 303 indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (9 papers), Natural product bioactivities and synthesis (7 papers), Tryptophan and brain disorders (4 papers), Gut microbiota and health (4 papers), Inflammatory Bowel Disease (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Biological Psychiatry (20 citations), Pharmacology (40 citations), Neurology (35 citations), Biochemistry (15 citations) and Complementary and alternative medicine (20 citations). Weibo Dai has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Xianjing Hu, Xin Liu, Tingting Zhao, Yan Zheng, Lihua Peng, Yuting Guo, Hua Zhou, Peng Sun, Dan Su and Weiwen Peng. Their work appears in journals such as Frontiers in Pharmacology, Scientific Reports, Alexandria Engineering Journal, Molecules and Journal of Ethnopharmacology.
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.