Wei Dai
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Cancer-related gene regulation
- Signaling Pathways in Disease
Papers in
-
- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 8
- Cancer Genomics and Diagnostics 7
-
- Epigenetics and DNA Methylation 19
- RNA modifications and cancer 15
- Cancer-related gene regulation 11
- Co-authors
- Maria Li LungRobert BrownArthur Kwok Leung CheungJosephine Mun Yee KoSiân RizzoHong ZhengC ZellerAfshan Siddiq
- Journals
- Cancers (7 papers)International Journal of Biological Macromolecules (7 papers)Journal of Surgical Research (5 papers)Clinical Cancer Research (4 papers)International Journal of Cancer (4 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Wei Dai
129 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Cancer Research 623
- Molecular Biology 1.6k
- Oncology 625
- Otorhinolaryngology 68
- Immunology 312
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | Global epidemiology of type 2 diabetes in patients with NAFLD or MAFLD: a systematic review and meta-analysis Hit paper breakdown → | 2024 | 43 |
| 6 | 2024 | 7 | |
| 7 | 2024 | 6 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 29 | |
| 10 | Gut Microbiota, Peroxisome Proliferator-Activated Receptors, and Hepatocellular Carcinoma | 2020 | 1 |
| 11 | 2020 | 13 | |
| 12 | 2020 | 39 | |
| 13 | 2020 | 11 | |
| 14 | 2019 | 17 | |
| 15 | 2018 | 5 | |
| 16 | 2016 | 47 | |
| 17 | 2013 | 23 | |
| 18 | 2013 | 38 | |
| 19 | 2011 | 171 | |
| 20 | 2011 | 78 |
About Wei Dai
Wei Dai is a scholar working on Cancer Research, Molecular Biology, Oncology, Toxicology and Immunology, having authored 137 papers that have together received 2.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (19 papers), RNA modifications and cancer (15 papers), Cancer-related gene regulation (11 papers), Neuroblastoma Research and Treatments (8 papers), MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (8 papers), Cancer Genomics and Diagnostics (7 papers) and Cancer Immunotherapy and Biomarkers (7 papers). The work is most often cited by research in Cancer Research (623 citations), Molecular Biology (1.6k citations), Oncology (625 citations), Otorhinolaryngology (68 citations) and Immunology (312 citations). Wei Dai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Maria Li Lung, Robert Brown, Arthur Kwok Leung Cheung, Josephine Mun Yee Ko, Siân Rizzo, Hong Zheng, C Zeller, Afshan Siddiq, Andrew J. Walley and Charlotte S. Wilhelm-Benartzi. Their work appears in journals such as Cancers, International Journal of Biological Macromolecules, Journal of Surgical Research, Clinical Cancer Research and International Journal of Cancer.
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.