De‐Wei Wu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
Papers in
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- Wnt/β-catenin signaling in development and cancer 5
- RNA modifications and cancer 5
- RNA Research and Splicing 3
- PI3K/AKT/mTOR signaling in cancer 3
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Co-authors
- Huei Lee (23 shared papers)Ya‐Wen Cheng (7 shared papers)Chih‐Yi Chen (7 shared papers)Po-Lin Lin (10 shared papers)Lee Wang (8 shared papers)John Wang (3 shared papers)Chi-Chou Huang (6 shared papers)Yao-Chen Wang (6 shared papers)
In The Last Decade
De‐Wei Wu
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Cancer Research 285
- Molecular Biology 599
- Oncology 188
- Immunology 132
- Cell Biology 85
Countries citing papers authored by De‐Wei Wu
This map shows the geographic impact of De‐Wei Wu'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 De‐Wei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De‐Wei Wu more than expected).
Fields of papers citing papers by De‐Wei Wu
This network shows the impact of papers produced by De‐Wei Wu. 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 De‐Wei Wu. The network helps show where De‐Wei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside De‐Wei Wu, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 119 | |
| 2 | 2011 | 88 | |
| 3 | 2014 | 54 | |
| 4 | 2021 | 49 | |
| 5 | 2014 | 47 | |
| 6 | 2012 | 44 | |
| 7 | 2017 | 44 | |
| 8 | 2016 | 42 | |
| 9 | 2016 | 38 | |
| 10 | 2017 | 38 | |
| 11 | 2016 | 37 | |
| 12 | 2016 | 35 | |
| 13 | 2017 | 34 | |
| 14 | 2016 | 33 | |
| 15 | 2016 | 32 | |
| 16 | 2018 | 31 | |
| 17 | 2021 | 30 | |
| 18 | 2005 | 29 | |
| 19 | 2018 | 28 | |
| 20 | 2018 | 25 |
About De‐Wei Wu
De‐Wei Wu is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Immunology and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (5 papers), MicroRNA in disease regulation (5 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (4 papers), Lung Cancer Treatments and Mutations (4 papers), RNA Research and Splicing (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Cancer Research (285 citations), Molecular Biology (599 citations), Oncology (188 citations), Immunology (132 citations) and Cell Biology (85 citations). De‐Wei Wu has collaborated with scholars based in Taiwan, China and Hong Kong. Frequent co-authors include Huei Lee, Ya‐Wen Cheng, Chih‐Yi Chen, Po-Lin Lin, Lee Wang, John Wang, Chi-Chou Huang, Yao-Chen Wang, Huei Lee and Tzu-Chin Wu. Their work appears in journals such as Oncotarget, Scientific Reports, Clinical Cancer Research, Carcinogenesis and Theranostics.
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.