Min Dai
Impact in
- Oncology top 2%
- Colorectal Cancer Screening and Detection
- Global Cancer Incidence and Screening
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
- Oncology 87
- Colorectal Cancer Screening and Detection 35
- Global Cancer Incidence and Screening 28
- Cancer Risks and Factors 12
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- Cancer-related molecular mechanisms research 9
- Co-authors
- Ni Li (64 shared papers)Hongda Chen (51 shared papers)Bin Lu (21 shared papers)Ming Lu (20 shared papers)Yuhan Zhang (17 shared papers)Jie Cai (13 shared papers)Silvia Franceschi (10 shared papers)Jiansong Ren (43 shared papers)
- Journals
- The Lancet (8 papers)Frontiers in Oncology (8 papers)Cancer Medicine (7 papers)British Journal of Cancer (7 papers)Cancer Causes & Control (5 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Min Dai
263 papers receiving 6.7k citations
Min Dai's Hit Papers
Peers
Comparison fields: 5 of 163
- Oncology 1.4k
- Cancer Research 692
- Epidemiology 1.5k
- Otorhinolaryngology 166
- Hepatology 180
Countries citing papers authored by Min Dai
This map shows the geographic impact of Min 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 Min Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Dai more than expected).
Fields of papers citing papers by Min Dai
This network shows the impact of papers produced by Min 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 Min Dai. The network helps show where Min Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Min 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 281 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 329 | |
| 2 | Advances in the epidemiology of pancreatic cancer: Trends, risk factors, screening, and prognosis Hit paper breakdown → | 2021 | 301 |
| 3 | Incidence, mortality, survival, risk factor and screening of colorectal cancer: A comparison among China, Europe, and northern America Hit paper breakdown → | 2021 | 298 |
| 4 | 2018 | 274 | |
| 5 | 2018 | 154 | |
| 6 | 2008 | 151 | |
| 7 | 2016 | 143 | |
| 8 | 2006 | 143 | |
| 9 | 2011 | 124 | |
| 10 | 2006 | 124 | |
| 11 | 2010 | 122 | |
| 12 | 2014 | 120 | |
| 13 | 2007 | 106 | |
| 14 | 2006 | 104 | |
| 15 | 2017 | 98 | |
| 16 | 2018 | 94 | |
| 17 | 2004 | 88 | |
| 18 | 2007 | 86 | |
| 19 | 2003 | 85 | |
| 20 | 2017 | 82 |
About Min Dai
Min Dai is a scholar working on Oncology, Cancer Research, Epidemiology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 281 papers that have together received 6.7k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (35 papers), Global Cancer Incidence and Screening (28 papers), Cervical Cancer and HPV Research (21 papers), Economic and Financial Impacts of Cancer (17 papers), Cancer Risks and Factors (12 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), Cancer-related molecular mechanisms research (9 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). The work is most often cited by research in Oncology (1.4k citations), Cancer Research (692 citations), Epidemiology (1.5k citations), Otorhinolaryngology (166 citations) and Hepatology (180 citations). Min Dai has collaborated with scholars based in China, United States and France. Frequent co-authors include Ni Li, Hongda Chen, Bin Lu, Ming Lu, Yuhan Zhang, Jie Cai, Silvia Franceschi, Jiansong Ren, Jie He and Tongzhang Zheng. Their work appears in journals such as The Lancet, Frontiers in Oncology, Cancer Medicine, British Journal of Cancer and Cancer Causes & Control.
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.