Chia‐Ching Wu
Impact in
- Urology top 2%
- Urinary Bladder and Prostate Research
- Rehabilitation top 5%
Papers in
-
- Angiogenesis and VEGF in Cancer 6
- Kruppel-like factors research 5
- Epigenetics and DNA Methylation 4
- Genetics 13
- Mesenchymal stem cell research 12
- Co-authors
- Shu Chien (9 shared papers)Tzu-Chieh Huang (11 shared papers)Ya‐Ju Chang (8 shared papers)Yuan‐Yu Hsueh (14 shared papers)Wei‐Chia Lee (6 shared papers)Yi-Shuan Li (4 shared papers)Ming‐Jer Tang (6 shared papers)Fong‐Chin Su (10 shared papers)
- Journals
- PLoS ONE (3 papers)Stem Cell Research & Therapy (3 papers)Biomaterials (3 papers)Scientific Reports (3 papers)BioMed Research International (2 papers)
- Partner nations
- TaiwanUnited StatesVietnam
In The Last Decade
Chia‐Ching Wu
81 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 141
- Urology 156
- Rehabilitation 110
- Genetics 172
- Immunology and Allergy 88
- Cellular and Molecular Neuroscience 245
Countries citing papers authored by Chia‐Ching Wu
This map shows the geographic impact of Chia‐Ching 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‐Ching 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‐Ching Wu more than expected).
Fields of papers citing papers by Chia‐Ching Wu
This network shows the impact of papers produced by Chia‐Ching 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‐Ching Wu. The network helps show where Chia‐Ching Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia‐Ching 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 130 | |
| 2 | 2006 | 116 | |
| 3 | 2013 | 93 | |
| 4 | 2019 | 91 | |
| 5 | 2017 | 84 | |
| 6 | 2007 | 75 | |
| 7 | 2008 | 75 | |
| 8 | 2009 | 59 | |
| 9 | 2011 | 54 | |
| 10 | 2020 | 46 | |
| 11 | 2016 | 45 | |
| 12 | 2013 | 42 | |
| 13 | 2012 | 41 | |
| 14 | 2011 | 40 | |
| 15 | 2008 | 38 | |
| 16 | 2021 | 37 | |
| 17 | 2014 | 36 | |
| 18 | 2013 | 35 | |
| 19 | 2016 | 35 | |
| 20 | 2020 | 33 |
About Chia‐Ching Wu
Chia‐Ching Wu is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Cell Biology and Urology, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (12 papers), Nerve injury and regeneration (8 papers), Angiogenesis and VEGF in Cancer (6 papers), Kruppel-like factors research (5 papers), Cell Adhesion Molecules Research (5 papers), Cellular Mechanics and Interactions (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Urology (156 citations), Rehabilitation (110 citations), Genetics (172 citations), Immunology and Allergy (88 citations) and Cellular and Molecular Neuroscience (245 citations). Chia‐Ching Wu has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Shu Chien, Tzu-Chieh Huang, Ya‐Ju Chang, Yuan‐Yu Hsueh, Wei‐Chia Lee, Yi-Shuan Li, Ming‐Jer Tang, Fong‐Chin Su, Chia‐Wen Hsieh and Being‐Sun Wung. Their work appears in journals such as PLoS ONE, Stem Cell Research & Therapy, Biomaterials, Scientific Reports and BioMed Research International.
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.