Wei Dai
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Anesthesiology and Pain Medicine top 10%
- Airway Management and Intubation Techniques
Papers in
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- Hepatocellular Carcinoma Treatment and Prognosis 6
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Co-authors
- Quan Zhang (8 shared papers)Jingfeng Zhou (3 shared papers)Jingxuan Pan (3 shared papers)Chensheng Alex Lu (2 shared papers)Zhengbiao Lu (2 shared papers)Bei Jin (1 shared paper)Shenglan Liu (8 shared papers)Mingyi Li (10 shared papers)
In The Last Decade
Wei Dai
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Cancer Research 152
- Anesthesiology and Pain Medicine 57
- Environmental Chemistry 50
- Pollution 59
- Hepatology 44
Countries citing papers authored by Wei Dai
This map shows the geographic impact of Wei 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 Wei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Dai more than expected).
Fields of papers citing papers by Wei Dai
This network shows the impact of papers produced by Wei 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 Wei Dai. The network helps show where Wei Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 84 | |
| 2 | 2016 | 77 | |
| 3 | 2019 | 57 | |
| 4 | 2017 | 56 | |
| 5 | 2019 | 51 | |
| 6 | 2020 | 47 | |
| 7 | 2021 | 44 | |
| 8 | 2020 | 42 | |
| 9 | 2016 | 41 | |
| 10 | 2021 | 38 | |
| 11 | 2022 | 34 | |
| 12 | 2019 | 30 | |
| 13 | 2019 | 30 | |
| 14 | 2021 | 29 | |
| 15 | 2014 | 28 | |
| 16 | 2016 | 27 | |
| 17 | 2023 | 26 | |
| 18 | 2018 | 22 | |
| 19 | 2023 | 22 | |
| 20 | microRNA-506 regulates proliferation, migration and invasion in hepatocellular carcinoma by targeting F-spondin 1 (SPON1). | 2015 | 21 |
About Wei Dai
Wei Dai is a scholar working on Hepatology, Cancer Research, Oncology, Complementary and alternative medicine and Ophthalmology, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Pesticide Residue Analysis and Safety (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Cancer-related molecular mechanisms research (4 papers), Ocular Oncology and Treatments (3 papers), MicroRNA in disease regulation (3 papers), Pesticide Exposure and Toxicity (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (152 citations), Anesthesiology and Pain Medicine (57 citations), Environmental Chemistry (50 citations), Pollution (59 citations) and Hepatology (44 citations). Wei Dai has collaborated with scholars based in China, Hong Kong and Belgium. Frequent co-authors include Quan Zhang, Jingfeng Zhou, Jingxuan Pan, Chensheng Alex Lu, Zhengbiao Lu, Bei Jin, Shenglan Liu, Mingyi Li, Shuo Fang and Yingying Li. Their work appears in journals such as BMC Cancer, Environmental Pollution, The Science of The Total Environment, Journal of Hazardous Materials and Journal of Pharmaceutical Analysis.
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.