Chia‐Yun Wu
Impact in
-
- Carcinogens and Genotoxicity Assessment
-
- Cancer-related Molecular Pathways
- Inflammatory Biomarkers in Disease Prognosis
Papers in
- Oncology 9
- Cancer Immunotherapy and Biomarkers 6
- Inflammatory Biomarkers in Disease Prognosis 2
- Colorectal Cancer Treatments and Studies 2
-
- Head and Neck Cancer Studies 4
- Co-authors
- Jyh‐Cherng Yu (1 shared paper)Chen‐Yang Shen (1 shared paper)Giu‐Cheng Hsu (1 shared paper)Yi‐Ping Fu (1 shared paper)Hurng‐Sheng Wu (1 shared paper)Pei‐Ei Wu (1 shared paper)Li‐Jen Liao (9 shared papers)Pei‐Wei Shueng (8 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Frontiers in Oncology (2 papers)Journal of Evaluation in Clinical Practice (2 papers)JCO Oncology Practice (1 paper)The Journal of Steroid Biochemistry and Molecular Biology (1 paper)
- Partner nations
- TaiwanUnited StatesNetherlands
In The Last Decade
Chia‐Yun Wu
22 papers receiving 318 citations
Peers
Comparison fields: 5 of 52
- Cancer Research 53
- Oncology 84
- Otorhinolaryngology 11
- Molecular Biology 155
- Genetics 57
Countries citing papers authored by Chia‐Yun Wu
This map shows the geographic impact of Chia‐Yun 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 Chia‐Yun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Yun Wu more than expected).
Fields of papers citing papers by Chia‐Yun Wu
This network shows the impact of papers produced by Chia‐Yun 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 Chia‐Yun Wu. The network helps show where Chia‐Yun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia‐Yun 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Breast cancer risk associated with genotypic polymorphism of the nonhomologous end-joining genes: a multigenic study on cancer susceptibility. | 2003 | 159 |
| 2 | 2017 | 41 | |
| 3 | 2022 | 27 | |
| 4 | 2025 | 16 | |
| 5 | 2022 | 14 | |
| 6 | 2009 | 12 | |
| 7 | 2022 | 10 | |
| 8 | 2016 | 7 | |
| 9 | 2008 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Chia‐Yun Wu
Chia‐Yun Wu is a scholar working on Oncology, Otorhinolaryngology, Surgery, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 23 papers that have together received 323 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Head and Neck Cancer Studies (4 papers), Esophageal Cancer Research and Treatment (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Cancer Research (53 citations), Oncology (84 citations), Otorhinolaryngology (11 citations), Molecular Biology (155 citations) and Genetics (57 citations). Chia‐Yun Wu has collaborated with scholars based in Taiwan, United States and Netherlands. Frequent co-authors include Jyh‐Cherng Yu, Chen‐Yang Shen, Giu‐Cheng Hsu, Yi‐Ping Fu, Hurng‐Sheng Wu, Pei‐Ei Wu, Li‐Jen Liao, Pei‐Wei Shueng, Chen-Hsi Hsieh and Wu‐Chia Lo. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Oncology, Journal of Evaluation in Clinical Practice, JCO Oncology Practice and The Journal of Steroid Biochemistry and Molecular Biology.
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.