Chun Dai
Impact in
-
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Oncology 7
- Cancer Immunotherapy and Biomarkers 2
- Cancer Cells and Metastasis 2
- Co-authors
- Lun–Xiu Qin (7 shared papers)Qiongzhu Dong (8 shared papers)Ning Ren (6 shared papers)Hu‐Liang Jia (6 shared papers)Qing‐Hai Ye (6 shared papers)Haijing Sun (4 shared papers)Jinwang Wei (6 shared papers)Yuhua Xue (3 shared papers)
- Journals
- Annals of Translational Medicine (2 papers)Hepatology (2 papers)Cancer Research (2 papers)Cancer Science (2 papers)Microchemical Journal (1 paper)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Chun Dai
33 papers receiving 611 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 129
- Hepatology 54
- Genetics 70
- Rheumatology 79
- Oncology 132
Countries citing papers authored by Chun Dai
This map shows the geographic impact of Chun 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 Chun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Dai more than expected).
Fields of papers citing papers by Chun Dai
This network shows the impact of papers produced by Chun 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 Chun Dai. The network helps show where Chun Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 85 | |
| 2 | 2016 | 61 | |
| 3 | 2012 | 55 | |
| 4 | 2019 | 49 | |
| 5 | 2011 | 49 | |
| 6 | 2010 | 46 | |
| 7 | 2016 | 37 | |
| 8 | 2019 | 33 | |
| 9 | 2020 | 28 | |
| 10 | 2022 | 25 | |
| 11 | 2022 | 19 | |
| 12 | 2011 | 18 | |
| 13 | 2011 | 15 | |
| 14 | 2024 | 15 | |
| 15 | 2020 | 12 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2012 | 8 | |
| 20 | 2020 | 5 |
About Chun Dai
Chun Dai is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Rheumatology, having authored 35 papers that have together received 621 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Bone and Dental Protein Studies (3 papers), Hepatitis B Virus Studies (2 papers), Molecular Sensors and Ion Detection (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Cells and Metastasis (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Cancer Research (129 citations), Hepatology (54 citations), Genetics (70 citations), Rheumatology (79 citations) and Oncology (132 citations). Chun Dai has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Lun–Xiu Qin, Qiongzhu Dong, Ning Ren, Hu‐Liang Jia, Qing‐Hai Ye, Haijing Sun, Jinwang Wei, Yuhua Xue, Haijun Zhou and Guocai Li. Their work appears in journals such as Annals of Translational Medicine, Hepatology, Cancer Research, Cancer Science and Microchemical Journal.
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.