Wan‐Tzu Chen
Impact in
- Dermatology top 5%
- Oncology top 10%
- Cancer Diagnosis and Treatment
Papers in
- Oncology 15
- Cancer-related Molecular Pathways 5
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Chee‐Yin Chai (43 shared papers)Ya‐Chun Huang (16 shared papers)Ching‐Shuang Wu (4 shared papers)Wen‐Chun Hung (13 shared papers)Cheng‐Che E. Lan (4 shared papers)Ying-Chen Lu (1 shared paper)Chia-Lin Lee (1 shared paper)Gwo‐Shing Chen (3 shared papers)
- Journals
- Apmis (6 papers)Toxicology Letters (6 papers)Modern Pathology (2 papers)Pathology (2 papers)Applied Surface Science (2 papers)
- Partner nations
- TaiwanUnited StatesHong Kong
In The Last Decade
Wan‐Tzu Chen
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Dermatology 115
- Oncology 284
- Molecular Biology 540
- Cancer Research 96
- Endocrinology, Diabetes and Metabolism 89
Countries citing papers authored by Wan‐Tzu Chen
This map shows the geographic impact of Wan‐Tzu Chen'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 Wan‐Tzu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan‐Tzu Chen more than expected).
Fields of papers citing papers by Wan‐Tzu Chen
This network shows the impact of papers produced by Wan‐Tzu Chen. 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 Wan‐Tzu Chen. The network helps show where Wan‐Tzu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Wan‐Tzu Chen, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 212 | |
| 2 | 2008 | 173 | |
| 3 | 2016 | 95 | |
| 4 | 2016 | 61 | |
| 5 | 2005 | 60 | |
| 6 | 2013 | 49 | |
| 7 | 2007 | 46 | |
| 8 | 2015 | 46 | |
| 9 | 2019 | 43 | |
| 10 | 2007 | 36 | |
| 11 | 2020 | 33 | |
| 12 | 2006 | 31 | |
| 13 | 2009 | 31 | |
| 14 | 2012 | 29 | |
| 15 | 2008 | 26 | |
| 16 | 2019 | 25 | |
| 17 | 2018 | 25 | |
| 18 | 2009 | 23 | |
| 19 | 2011 | 22 | |
| 20 | 2013 | 19 |
About Wan‐Tzu Chen
Wan‐Tzu Chen is a scholar working on Oncology, Molecular Biology, Cancer Research, Biomedical Engineering and Surgery, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Biomarkers in Disease Mechanisms (3 papers), melanin and skin pigmentation (3 papers), Biosensors and Analytical Detection (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Dermatology (115 citations), Oncology (284 citations), Molecular Biology (540 citations), Cancer Research (96 citations) and Endocrinology, Diabetes and Metabolism (89 citations). Wan‐Tzu Chen has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Chee‐Yin Chai, Ya‐Chun Huang, Ching‐Shuang Wu, Wen‐Chun Hung, Cheng‐Che E. Lan, Ying-Chen Lu, Chia-Lin Lee, Gwo‐Shing Chen, Wan-Yi Kang and Stephen Chu‐Sung Hu. Their work appears in journals such as Apmis, Toxicology Letters, Modern Pathology, Pathology and Applied Surface Science.
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.