Weixing Dai
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
-
- Traditional Chinese Medicine Analysis
Papers in
-
- Metabolomics and Mass Spectrometry Studies 9
- Oncology 33
- Colorectal Cancer Surgical Treatments 17
- Colorectal Cancer Treatments and Studies 10
- Co-authors
- Ye Xu (26 shared papers)Guoxiang Cai (21 shared papers)Weidong Zhang (21 shared papers)Wenqiang Xiang (27 shared papers)Renjie Wang (28 shared papers)Lingyu Han (25 shared papers)Qingguo Li (29 shared papers)Shaobo Mo (28 shared papers)
- Journals
- International Journal of Colorectal Disease (5 papers)Journal of Pharmaceutical and Biomedical Analysis (5 papers)Clinical and Translational Medicine (4 papers)International Journal of Surgery (3 papers)Cell Proliferation (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Weixing Dai
109 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 118
- Cancer Research 533
- Complementary and alternative medicine 238
- Oncology 751
- Pharmacology 126
- Molecular Biology 1.0k
Countries citing papers authored by Weixing Dai
This map shows the geographic impact of Weixing 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 Weixing Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weixing Dai more than expected).
Fields of papers citing papers by Weixing Dai
This network shows the impact of papers produced by Weixing 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 Weixing Dai. The network helps show where Weixing Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Weixing 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 222 | |
| 2 | 2020 | 115 | |
| 3 | 2020 | 94 | |
| 4 | 2021 | 91 | |
| 5 | 2020 | 88 | |
| 6 | 2019 | 87 | |
| 7 | 2023 | 79 | |
| 8 | 2022 | 77 | |
| 9 | 2020 | 68 | |
| 10 | 2009 | 66 | |
| 11 | 2008 | 64 | |
| 12 | 2021 | 63 | |
| 13 | 2020 | 61 | |
| 14 | 2012 | 56 | |
| 15 | 2009 | 55 | |
| 16 | 2019 | 53 | |
| 17 | 2009 | 50 | |
| 18 | 2018 | 49 | |
| 19 | 2019 | 47 | |
| 20 | 2012 | 44 |
About Weixing Dai
Weixing Dai is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 112 papers that have together received 2.9k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (17 papers), Colorectal Cancer Treatments and Studies (10 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Traditional Chinese Medicine Analysis (9 papers), Genetic factors in colorectal cancer (8 papers), Ferroptosis and cancer prognosis (7 papers), Cancer-related molecular mechanisms research (6 papers) and Colorectal and Anal Carcinomas (5 papers). The work is most often cited by research in Cancer Research (533 citations), Complementary and alternative medicine (238 citations), Oncology (751 citations), Pharmacology (126 citations) and Molecular Biology (1.0k citations). Weixing Dai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ye Xu, Guoxiang Cai, Weidong Zhang, Wenqiang Xiang, Renjie Wang, Lingyu Han, Qingguo Li, Shaobo Mo, Sanjun Cai and Shikai Yan. Their work appears in journals such as International Journal of Colorectal Disease, Journal of Pharmaceutical and Biomedical Analysis, Clinical and Translational Medicine, International Journal of Surgery and Cell Proliferation.
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.