Daiwei Wan
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
Papers in
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- Circular RNAs in diseases 8
- RNA modifications and cancer 6
- Wnt/β-catenin signaling in development and cancer 2
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- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 7
- Co-authors
- Qiaoming Zhi (15 shared papers)Dingcheng Zheng (3 shared papers)Songbing He (5 shared papers)Dechun Li (2 shared papers)Min Fei (2 shared papers)Songbing He (10 shared papers)Ye Han (9 shared papers)Yugang Wu (1 shared paper)
- Journals
- Biomedicine & Pharmacotherapy (5 papers)Frontiers in Oncology (3 papers)Anti-Cancer Agents in Medicinal Chemistry (2 papers)Clinical & Translational Oncology (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Daiwei Wan
25 papers receiving 731 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 352
- Oncology 204
- Molecular Biology 472
- Immunology 122
- Toxicology 12
Countries citing papers authored by Daiwei Wan
This map shows the geographic impact of Daiwei Wan'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 Daiwei Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiwei Wan more than expected).
Fields of papers citing papers by Daiwei Wan
This network shows the impact of papers produced by Daiwei Wan. 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 Daiwei Wan. The network helps show where Daiwei Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daiwei Wan, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 115 | |
| 2 | 2019 | 73 | |
| 3 | 2016 | 62 | |
| 4 | 2014 | 52 | |
| 5 | 2018 | 45 | |
| 6 | 2016 | 43 | |
| 7 | 2013 | 39 | |
| 8 | 2014 | 38 | |
| 9 | 2020 | 33 | |
| 10 | 2017 | 31 | |
| 11 | 2014 | 27 | |
| 12 | 2018 | 27 | |
| 13 | 2013 | 21 | |
| 14 | 2021 | 19 | |
| 15 | 2018 | 17 | |
| 16 | 2014 | 16 | |
| 17 | 2022 | 15 | |
| 18 | 2019 | 14 | |
| 19 | 2017 | 14 | |
| 20 | 2024 | 10 |
About Daiwei Wan
Daiwei Wan is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Surgery, having authored 25 papers that have together received 732 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (8 papers), Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (6 papers), Cancer Cells and Metastasis (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Colorectal Cancer Surgical Treatments (2 papers). The work is most often cited by research in Cancer Research (352 citations), Oncology (204 citations), Molecular Biology (472 citations), Immunology (122 citations) and Toxicology (12 citations). Daiwei Wan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qiaoming Zhi, Dingcheng Zheng, Songbing He, Dechun Li, Min Fei, Songbing He, Ye Han, Yugang Wu, Liang Wang and Yuting Kuang. Their work appears in journals such as Biomedicine & Pharmacotherapy, Frontiers in Oncology, Anti-Cancer Agents in Medicinal Chemistry, Clinical & Translational Oncology and Molecular Cancer Therapeutics.
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.