Wumin Dai
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Glioma Diagnosis and Treatment
Papers in
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- Cancer Genomics and Diagnostics 4
- MicroRNA in disease regulation 2
- Cancer-related molecular mechanisms research 2
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- Lung Cancer Treatments and Mutations 3
- Lung Cancer Diagnosis and Treatment 2
- Co-authors
- Mengyuan Chen (1 shared paper)Yu Chong (1 shared paper)Xianghui Du (1 shared paper)Guoqin Qiu (1 shared paper)Yang Yang (1 shared paper)Yongling Ji (1 shared paper)Xia Zhou (1 shared paper)Wen‐Gang Fang (2 shared papers)
- Journals
- Journal of Clinical Oncology (1 paper)Advanced Science (1 paper)Cancer Cell International (1 paper)Drug Resistance Updates (1 paper)Journal of Proteomics (1 paper)
- Partner nations
- China
In The Last Decade
Wumin Dai
21 papers receiving 284 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 79
- Genetics 29
- Oncology 64
- Pulmonary and Respiratory Medicine 72
- Neurology 14
Countries citing papers authored by Wumin Dai
This map shows the geographic impact of Wumin 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 Wumin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wumin Dai more than expected).
Fields of papers citing papers by Wumin Dai
This network shows the impact of papers produced by Wumin 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 Wumin Dai. The network helps show where Wumin Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wumin 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 76 | |
| 2 | 2021 | 56 | |
| 3 | 2023 | 26 | |
| 4 | 2021 | 25 | |
| 5 | 2019 | 24 | |
| 6 | 2015 | 19 | |
| 7 | 2020 | 13 | |
| 8 | 2015 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2017 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2019-nCoV may create complications in colon cancer patients with ACE2 expression. | 2020 | 2 |
| 17 | 2024 | 1 | |
| 18 | 2001 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 1999 | 1 |
About Wumin Dai
Wumin Dai is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Oncology and Surgery, having authored 21 papers that have together received 285 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Lung Cancer Treatments and Mutations (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), MicroRNA in disease regulation (2 papers), RNA modifications and cancer (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (79 citations), Genetics (29 citations), Oncology (64 citations), Pulmonary and Respiratory Medicine (72 citations) and Neurology (14 citations). Wumin Dai has collaborated with scholars based in China. Frequent co-authors include Mengyuan Chen, Yu Chong, Xianghui Du, Guoqin Qiu, Yang Yang, Yongling Ji, Xia Zhou, Wen‐Gang Fang, Wei Zhao and Ling Cao. Their work appears in journals such as Journal of Clinical Oncology, Advanced Science, Cancer Cell International, Drug Resistance Updates and Journal of Proteomics.
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.