Wei Hsu
- Molecular Biology top 2%
- Wnt/β-catenin signaling in development and cancer 23
- Cancer-related gene regulation 17
- dental development and anomalies 11
- Epigenetics and DNA Methylation 7
- Genetics top 2%
- Connective tissue disorders research 5
- Virus-based gene therapy research 4
- Urology top 2%
- Cell Biology top 5%
- Cancer Research top 5%
- NF-κB Signaling Pathways 7
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- Cytokine Signaling Pathways and Interactions 5
- Co-authors
- Frank CostantiniHsiao‐Man Ivy YuLi ZengJiang FuTakamitsu MaruyamaSelina Chen‐KiangAnthony J. MirandoBo Liu
- Cited by
- Molecular BiologyGeneticsUrology
- Journals
- Molecular and Cellular Biology (6 papers)Developmental Dynamics (5 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Wei Hsu
64 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 3.3k
- Genetics 1.1k
- Urology 159
- Cell Biology 383
- Cancer Research 314
Countries citing papers authored by Wei Hsu
This map shows the geographic impact of Wei Hsu'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 Wei Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Hsu more than expected).
Fields of papers citing papers by Wei Hsu
This network shows the impact of papers produced by Wei Hsu. 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 Wei Hsu. The network helps show where Wei Hsu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei Hsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 12 | |
| 5 | 2021 | 8 | |
| 6 | 2016 | 28 | |
| 7 | 2014 | 44 | |
| 8 | 2014 | 70 | |
| 9 | 2014 | 69 | |
| 10 | 2013 | 50 | |
| 11 | 2012 | 72 | |
| 12 | 2012 | 25 | |
| 13 | 2012 | 86 | |
| 14 | 2011 | 68 | |
| 15 | 2010 | 5 | |
| 16 | 2009 | 137 | |
| 17 | 2008 | 17 | |
| 18 | 2006 | 54 | |
| 19 | 1999 | 215 | |
| 20 | The Mouse Locus Encodes Axin, an Inhibitor of the Wnt Signaling Pathway That Regulates Embryonic Axis Formationbreakdown → | 1997 | 769 |
About Wei Hsu
Wei Hsu is a scholar working on Genetics, Molecular Biology and Cancer Research, having authored 66 papers that have together received 4.3k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (23 papers), Cancer-related gene regulation (17 papers), dental development and anomalies (11 papers), NF-κB Signaling Pathways (7 papers), Epigenetics and DNA Methylation (7 papers), Connective tissue disorders research (5 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Molecular Biology (3.3k citations), Genetics (1.1k citations) and Urology (159 citations). Wei Hsu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Frank Costantini, Hsiao‐Man Ivy Yu, Li Zeng, Jiang Fu, Takamitsu Maruyama, Selina Chen‐Kiang, Anthony J. Mirando, Bo Liu, François Fagotto and Tzong‐Jen Sheu. Their work appears in journals such as Molecular and Cellular Biology, Developmental Dynamics, Proceedings of the National Academy of Sciences, Development and Journal of Bone and Mineral Research.
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.