Wen‐Hui Lien
Impact in
- Urology top 0.5%
- Hair Growth and Disorders
- Cell Biology top 1%
- Hippo pathway signaling and YAP/TAZ
- Skin and Cellular Biology Research
Papers in
-
- Wnt/β-catenin signaling in development and cancer 12
- Hedgehog Signaling Pathway Studies 3
- Cancer-related gene regulation 3
- RNA Research and Splicing 3
- Urology 8
- Hair Growth and Disorders 8
- Co-authors
- Elaine Fuchs (9 shared papers)Valeri Vasioukhin (7 shared papers)Olga Klezovitch (5 shared papers)Deyou Zheng (5 shared papers)Lisa Polak (3 shared papers)Mark R. Silvis (2 shared papers)José M. Silva (1 shared paper)Elena Ezhkova (1 shared paper)
- Journals
- Genes & Development (3 papers)Cell stem cell (2 papers)Nature Communications (2 papers)Molecular Cell (1 paper)Biochemical Pharmacology (1 paper)
- Partner nations
- United StatesBelgiumTaiwan
In The Last Decade
Wen‐Hui Lien
25 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 102
- Urology 417
- Cell Biology 845
- Developmental Neuroscience 133
- Dermatology 213
- Molecular Biology 1.7k
Countries citing papers authored by Wen‐Hui Lien
This map shows the geographic impact of Wen‐Hui Lien'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 Wen‐Hui Lien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Hui Lien more than expected).
Fields of papers citing papers by Wen‐Hui Lien
This network shows the impact of papers produced by Wen‐Hui Lien. 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 Wen‐Hui Lien. The network helps show where Wen‐Hui Lien may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen‐Hui Lien, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 295 | |
| 2 | 2011 | 293 | |
| 3 | 2012 | 282 | |
| 4 | 2006 | 214 | |
| 5 | 2014 | 198 | |
| 6 | 2014 | 178 | |
| 7 | 2011 | 166 | |
| 8 | 2016 | 154 | |
| 9 | 2013 | 144 | |
| 10 | 2013 | 129 | |
| 11 | 2017 | 116 | |
| 12 | 2018 | 76 | |
| 13 | 2006 | 64 | |
| 14 | 2001 | 58 | |
| 15 | 2017 | 47 | |
| 16 | 2016 | 32 | |
| 17 | 2019 | 31 | |
| 18 | 2014 | 30 | |
| 19 | 2008 | 24 | |
| 20 | 2004 | 16 |
About Wen‐Hui Lien
Wen‐Hui Lien is a scholar working on Molecular Biology, Urology, Cell Biology, Cellular and Molecular Neuroscience and Dermatology, having authored 25 papers that have together received 2.6k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (12 papers), Hair Growth and Disorders (8 papers), Skin and Cellular Biology Research (4 papers), Axon Guidance and Neuronal Signaling (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Cancer-related gene regulation (3 papers), RNA Research and Splicing (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Urology (417 citations), Cell Biology (845 citations), Developmental Neuroscience (133 citations), Dermatology (213 citations) and Molecular Biology (1.7k citations). Wen‐Hui Lien has collaborated with scholars based in United States, Belgium and Taiwan. Frequent co-authors include Elaine Fuchs, Valeri Vasioukhin, Olga Klezovitch, Deyou Zheng, Lisa Polak, Mark R. Silvis, José M. Silva, Elena Ezhkova, Nicole Stokes and H. Amalia Pasolli. Their work appears in journals such as Genes & Development, Cell stem cell, Nature Communications, Molecular Cell and Biochemical Pharmacology.
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.