Yao-Chen Wang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Cancer-related Molecular Pathways
Papers in
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- RNA modifications and cancer 4
- PI3K/AKT/mTOR signaling in cancer 3
- Cell death mechanisms and regulation 2
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- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 2
- Co-authors
- Huei Lee (11 shared papers)Chih‐Yi Chen (7 shared papers)De‐Wei Wu (6 shared papers)Po-Lin Lin (3 shared papers)Ya‐Wen Cheng (4 shared papers)Tzu-Chin Wu (4 shared papers)Ming-Ching Lee (2 shared papers)Lee Wang (3 shared papers)
- Journals
- Oncotarget (3 papers)Clinical Cancer Research (2 papers)Scientific Reports (1 paper)Neoplasia (1 paper)International Journal of Environmental Research and Public Health (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Yao-Chen Wang
13 papers receiving 488 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 136
- Oncology 152
- Molecular Biology 345
- Immunology 67
- Cell Biology 38
Countries citing papers authored by Yao-Chen Wang
This map shows the geographic impact of Yao-Chen Wang'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 Yao-Chen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao-Chen Wang more than expected).
Fields of papers citing papers by Yao-Chen Wang
This network shows the impact of papers produced by Yao-Chen Wang. 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 Yao-Chen Wang. The network helps show where Yao-Chen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao-Chen Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 115 | |
| 2 | 2013 | 61 | |
| 3 | 2011 | 55 | |
| 4 | 2014 | 46 | |
| 5 | 2013 | 39 | |
| 6 | 2017 | 37 | |
| 7 | 2016 | 35 | |
| 8 | 2018 | 29 | |
| 9 | 2018 | 26 | |
| 10 | 2018 | 24 | |
| 11 | 2017 | 11 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 5 |
About Yao-Chen Wang
Yao-Chen Wang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 13 papers that have together received 489 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Lung Cancer Treatments and Mutations (4 papers), RNA modifications and cancer (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), MicroRNA in disease regulation (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Cancer-related Molecular Pathways (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Cancer Research (136 citations), Oncology (152 citations), Molecular Biology (345 citations), Immunology (67 citations) and Cell Biology (38 citations). Yao-Chen Wang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Huei Lee, Chih‐Yi Chen, De‐Wei Wu, Po-Lin Lin, Ya‐Wen Cheng, Tzu-Chin Wu, Ming-Ching Lee, Lee Wang, Wen‐Wei Sung and Min‐Che Tung. Their work appears in journals such as Oncotarget, Clinical Cancer Research, Scientific Reports, Neoplasia and International Journal of Environmental Research and Public Health.
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.