Dake Cai
Impact in
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
Papers in
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- Pharmacogenetics and Drug Metabolism 2
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- Traditional Chinese Medicine Analysis 3
- Co-authors
- Haining Gan (11 shared papers)Xiaohui Zeng (5 shared papers)Dane Huang (9 shared papers)Yuxing Chen (5 shared papers)Guoping Zhong (7 shared papers)Qiang Lü (1 shared paper)Cailan Li (1 shared paper)Tiantian Cai (2 shared papers)
- Journals
- Phytomedicine (3 papers)Biopharmaceutics & Drug Disposition (2 papers)Scientific Reports (2 papers)Journal of Ethnopharmacology (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Dake Cai
33 papers receiving 615 citations
Peers
Comparison fields: 5 of 91
- Pharmacology 109
- Molecular Medicine 62
- Complementary and alternative medicine 75
- Cancer Research 61
- Pharmacology 60
Countries citing papers authored by Dake Cai
This map shows the geographic impact of Dake Cai'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 Dake Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dake Cai more than expected).
Fields of papers citing papers by Dake Cai
This network shows the impact of papers produced by Dake Cai. 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 Dake Cai. The network helps show where Dake Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Dake Cai, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 66 | |
| 2 | 2018 | 54 | |
| 3 | 2018 | 51 | |
| 4 | 2016 | 51 | |
| 5 | 2012 | 49 | |
| 6 | 2019 | 39 | |
| 7 | 2018 | 36 | |
| 8 | 2019 | 31 | |
| 9 | 2021 | 27 | |
| 10 | 2013 | 26 | |
| 11 | 2015 | 22 | |
| 12 | 2017 | 20 | |
| 13 | 2022 | 17 | |
| 14 | 2018 | 14 | |
| 15 | 2021 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2024 | 12 | |
| 18 | 2020 | 11 | |
| 19 | 2013 | 11 | |
| 20 | 2023 | 10 |
About Dake Cai
Dake Cai is a scholar working on Pharmacology, Complementary and alternative medicine, Cancer Research, Molecular Medicine and Molecular Biology, having authored 33 papers that have together received 628 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (4 papers), Curcumin's Biomedical Applications (3 papers), Cancer Treatment and Pharmacology (3 papers), Traditional Chinese Medicine Analysis (3 papers), Cholesterol and Lipid Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Pharmacology (109 citations), Molecular Medicine (62 citations), Complementary and alternative medicine (75 citations), Cancer Research (61 citations) and Pharmacology (60 citations). Dake Cai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Haining Gan, Xiaohui Zeng, Dane Huang, Yuxing Chen, Guoping Zhong, Qiang Lü, Cailan Li, Tiantian Cai, Jiahao Wang and Runfang Ma. Their work appears in journals such as Phytomedicine, Biopharmaceutics & Drug Disposition, Scientific Reports, Journal of Ethnopharmacology and Frontiers in Pharmacology.
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.