Shu Dai
Impact in
- Pharmacology top 10%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacological Effects of Natural Compounds
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 9
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- Drug-Induced Hepatotoxicity and Protection 5
- Pharmacological Effects of Natural Compounds 3
- Co-authors
- Yunxia Li (12 shared papers)Xingtao Zhao (5 shared papers)Cheng Ma (4 shared papers)Xinyan Xue (8 shared papers)Cheng Peng (4 shared papers)Ke Fu (6 shared papers)Fang Zhang (6 shared papers)Yunxia Li (3 shared papers)
In The Last Decade
Shu Dai
23 papers receiving 449 citations
Peers
Comparison fields: 5 of 84
- Pharmacology 66
- Cancer Research 61
- Hepatology 32
- Complementary and alternative medicine 31
- Toxicology 12
Countries citing papers authored by Shu Dai
This map shows the geographic impact of Shu 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 Shu Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Dai more than expected).
Fields of papers citing papers by Shu Dai
This network shows the impact of papers produced by Shu 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 Shu Dai. The network helps show where Shu Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 64 | |
| 2 | 2022 | 52 | |
| 3 | 2023 | 49 | |
| 4 | 2021 | 44 | |
| 5 | 2024 | 36 | |
| 6 | 2023 | 27 | |
| 7 | 2017 | 27 | |
| 8 | 2023 | 23 | |
| 9 | 2022 | 20 | |
| 10 | 2022 | 16 | |
| 11 | 2023 | 15 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2000 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2022 | 7 | |
| 18 | 2023 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 3 |
About Shu Dai
Shu Dai is a scholar working on Epidemiology, Pharmacology, Molecular Biology, Plant Science and Oncology, having authored 24 papers that have together received 452 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Phytochemistry and biological activity of medicinal plants (4 papers), Pharmacological Effects of Natural Compounds (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Liver physiology and pathology (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Pharmacology (66 citations), Cancer Research (61 citations), Hepatology (32 citations), Complementary and alternative medicine (31 citations) and Toxicology (12 citations). Shu Dai has collaborated with scholars based in China, Taiwan and Japan. Frequent co-authors include Yunxia Li, Xingtao Zhao, Cheng Ma, Xinyan Xue, Cheng Peng, Ke Fu, Fang Zhang, Yunxia Li, Lihong Gong and Cheng Wang. Their work appears in journals such as Phytotherapy Research, Biomedicine & Pharmacotherapy, Journal of Pharmacy and Pharmacology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Journal of Advanced 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.