Chen‐Yi Wu
Impact in
- Dermatology top 5%
- Urology top 5%
Papers in
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- Genomics and Chromatin Dynamics 9
-
- Autoimmune Bullous Skin Diseases 14
- Co-authors
- Chung‐Pin Li (27 shared papers)Hsiao‐Yun Hu (19 shared papers)Nicole Huang (15 shared papers)Yiing‐Jenq Chou (18 shared papers)Y.C. Chou (5 shared papers)Andrew Travers (5 shared papers)Yiing‐Jeng Chou (6 shared papers)Jack Wang (4 shared papers)
- Journals
- Journal of the European Academy of Dermatology and Venereology (4 papers)The Journal of Dermatology (4 papers)Clinical and Experimental Dermatology (4 papers)Journal of the American Academy of Dermatology (3 papers)PLoS ONE (3 papers)
- Partner nations
- TaiwanUnited KingdomUnited States
In The Last Decade
Chen‐Yi Wu
93 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 150
- Dermatology 93
- Urology 54
- Hepatology 58
- Nephrology 51
- Geriatrics and Gerontology 24
Countries citing papers authored by Chen‐Yi Wu
This map shows the geographic impact of Chen‐Yi 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 Chen‐Yi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen‐Yi Wu more than expected).
Fields of papers citing papers by Chen‐Yi Wu
This network shows the impact of papers produced by Chen‐Yi 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 Chen‐Yi Wu. The network helps show where Chen‐Yi Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen‐Yi 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 146 | |
| 2 | 2016 | 145 | |
| 3 | 2015 | 143 | |
| 4 | 2006 | 108 | |
| 5 | 2015 | 87 | |
| 6 | 2009 | 71 | |
| 7 | 2014 | 64 | |
| 8 | 2016 | 59 | |
| 9 | 2018 | 56 | |
| 10 | 2012 | 47 | |
| 11 | 2018 | 45 | |
| 12 | 2015 | 43 | |
| 13 | 2007 | 39 | |
| 14 | 2014 | 39 | |
| 15 | 2015 | 36 | |
| 16 | 2014 | 34 | |
| 17 | 2015 | 33 | |
| 18 | 2012 | 31 | |
| 19 | 2020 | 31 | |
| 20 | 2022 | 29 |
About Chen‐Yi Wu
Chen‐Yi Wu is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Epidemiology, Dermatology and Rheumatology, having authored 95 papers that have together received 2.0k indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (14 papers), Genomics and Chromatin Dynamics (9 papers), Urticaria and Related Conditions (8 papers), Psoriasis: Treatment and Pathogenesis (8 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Acne and Rosacea Treatments and Effects (5 papers), Dermatology and Skin Diseases (5 papers) and melanin and skin pigmentation (4 papers). The work is most often cited by research in Dermatology (93 citations), Urology (54 citations), Hepatology (58 citations), Nephrology (51 citations) and Geriatrics and Gerontology (24 citations). Chen‐Yi Wu has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Chung‐Pin Li, Hsiao‐Yun Hu, Nicole Huang, Yiing‐Jenq Chou, Y.C. Chou, Andrew Travers, Yiing‐Jeng Chou, Jack Wang, Yi‐Ping Hung and Andrew Bassett. Their work appears in journals such as Journal of the European Academy of Dermatology and Venereology, The Journal of Dermatology, Clinical and Experimental Dermatology, Journal of the American Academy of Dermatology and PLoS ONE.
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.