Ya-yu Chuang
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Cellular transport and secretion
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
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- Protein Kinase Regulation and GTPase Signaling 5
- Wnt/β-catenin signaling in development and cancer 1
- TGF-β signaling in diseases 1
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- Cellular Mechanics and Interactions 3
- Cellular transport and secretion 3
- Microtubule and mitosis dynamics 1
- Hippo pathway signaling and YAP/TAZ 1
- Co-authors
- Marc Symons (7 shared papers)Salvatore J. Coniglio (2 shared papers)Amanda Chan (2 shared papers)Mark R. Philips (1 shared paper)Ulla G. Knaus (1 shared paper)David Michaelson (1 shared paper)Michael E. Berens (2 shared papers)Nhan L. Tran (2 shared papers)
- Journals
- Molecular Medicine (1 paper)Current Biology (1 paper)Journal of Cell Science (1 paper)Cancer Research (1 paper)Molecular Cancer (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Ya-yu Chuang
7 papers receiving 585 citations
Peers
Comparison fields: 5 of 74
- Cell Biology 265
- Immunology and Allergy 69
- Molecular Biology 395
- Genetics 54
- Cancer Research 60
Countries citing papers authored by Ya-yu Chuang
This map shows the geographic impact of Ya-yu Chuang'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 Ya-yu Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya-yu Chuang more than expected).
Fields of papers citing papers by Ya-yu Chuang
This network shows the impact of papers produced by Ya-yu Chuang. 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 Ya-yu Chuang. The network helps show where Ya-yu Chuang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya-yu Chuang, 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 | 2005 | 204 | |
| 2 | 2004 | 132 | |
| 3 | 2000 | 112 | |
| 4 | 2012 | 59 | |
| 5 | 2007 | 45 | |
| 6 | 2001 | 28 | |
| 7 | 2012 | 9 |
About Ya-yu Chuang
Ya-yu Chuang is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 589 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Cellular Mechanics and Interactions (3 papers), Cellular transport and secretion (3 papers), Cell Adhesion Molecules Research (2 papers), Wnt/β-catenin signaling in development and cancer (1 paper), Microtubule and mitosis dynamics (1 paper), TGF-β signaling in diseases (1 paper) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Cell Biology (265 citations), Immunology and Allergy (69 citations), Molecular Biology (395 citations), Genetics (54 citations) and Cancer Research (60 citations). Ya-yu Chuang has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Marc Symons, Salvatore J. Coniglio, Amanda Chan, Mark R. Philips, Ulla G. Knaus, David Michaelson, Michael E. Berens, Nhan L. Tran, Mitsutoshi Nakada and Nicole Rusk. Their work appears in journals such as Molecular Medicine, Current Biology, Journal of Cell Science, Cancer Research and Molecular Cancer.
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.