Selwin K. Wu
Impact in
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- Skin and Cellular Biology Research
- Cellular transport and secretion
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
- Cell Biology 13
- Cellular Mechanics and Interactions 12
- Hippo pathway signaling and YAP/TAZ 5
- Skin and Cellular Biology Research 3
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- Wnt/β-catenin signaling in development and cancer 8
- Ubiquitin and proteasome pathways 1
- Co-authors
- Alpha S. Yap (12 shared papers)Guillermo A. Gómez (9 shared papers)Suzie Verma (4 shared papers)Robert G. Parton (4 shared papers)Nicholas Hamilton (3 shared papers)Magdalene Michael (3 shared papers)Rashmi Priya (3 shared papers)Zoltán Neufeld (2 shared papers)
- Journals
- Current Biology (2 papers)Molecular Biology of the Cell (2 papers)Developmental Cell (1 paper)Cell Reports (1 paper)PLoS ONE (1 paper)
- Partner nations
- AustraliaSingaporeUnited States
In The Last Decade
Selwin K. Wu
16 papers receiving 693 citations
Peers
Comparison fields: 5 of 68
- Cell Biology 548
- Immunology and Allergy 82
- Neurology 40
- Molecular Biology 296
- Structural Biology 4
Countries citing papers authored by Selwin K. Wu
This map shows the geographic impact of Selwin K. 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 Selwin K. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Selwin K. Wu more than expected).
Fields of papers citing papers by Selwin K. Wu
This network shows the impact of papers produced by Selwin K. 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 Selwin K. Wu. The network helps show where Selwin K. Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Selwin K. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 171 | |
| 2 | 2014 | 149 | |
| 3 | 2017 | 81 | |
| 4 | 2014 | 56 | |
| 5 | 2015 | 39 | |
| 6 | 2011 | 36 | |
| 7 | 2011 | 35 | |
| 8 | 2015 | 35 | |
| 9 | 2013 | 33 | |
| 10 | 2014 | 21 | |
| 11 | 2014 | 20 | |
| 12 | 2019 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2026 | 0 |
About Selwin K. Wu
Selwin K. Wu is a scholar working on Cell Biology, Molecular Biology, Biomedical Engineering, Computer Networks and Communications and Oncology, having authored 17 papers that have together received 701 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (12 papers), Wnt/β-catenin signaling in development and cancer (8 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Skin and Cellular Biology Research (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Nonlinear Dynamics and Pattern Formation (1 paper), Ubiquitin and proteasome pathways (1 paper) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Cell Biology (548 citations), Immunology and Allergy (82 citations), Neurology (40 citations), Molecular Biology (296 citations) and Structural Biology (4 citations). Selwin K. Wu has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include Alpha S. Yap, Guillermo A. Gómez, Suzie Verma, Robert G. Parton, Nicholas Hamilton, Magdalene Michael, Rashmi Priya, Zoltán Neufeld, James Lefevre and Hayley Cox. Their work appears in journals such as Current Biology, Molecular Biology of the Cell, Developmental Cell, Cell Reports 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.