Yih‐Tai Chen
Impact in
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Skin and Cellular Biology Research
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
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- Wnt/β-catenin signaling in development and cancer 4
- Kruppel-like factors research 1
- Gene expression and cancer classification 1
- Ion channel regulation and function 1
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- W. James Nelson (4 shared papers)Cynthia L. Adams (1 shared paper)Stephen J Smith (1 shared paper)Daniel B. Stewart (1 shared paper)Sunil K. Shaw (1 shared paper)Jonathan M.G. Higgins (1 shared paper)Christina M. Parker (1 shared paper)Elizabeth A. Murphy (1 shared paper)
- Journals
- The Journal of Cell Biology (3 papers)The FASEB Journal (1 paper)American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)Analytical Biochemistry (1 paper)Cell Motility and the Cytoskeleton (1 paper)
- Partner nations
- United States
In The Last Decade
Yih‐Tai Chen
7 papers receiving 936 citations
Peers
Comparison fields: 5 of 87
- Cell Biology 483
- Immunology and Allergy 166
- Molecular Biology 621
- Immunology 134
- Neurology 51
Countries citing papers authored by Yih‐Tai Chen
This map shows the geographic impact of Yih‐Tai Chen'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 Yih‐Tai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yih‐Tai Chen more than expected).
Fields of papers citing papers by Yih‐Tai Chen
This network shows the impact of papers produced by Yih‐Tai Chen. 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 Yih‐Tai Chen. The network helps show where Yih‐Tai Chen may publish in the future.
Co-authors
The 18 scholars most cited alongside Yih‐Tai Chen, 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 | 1998 | 447 | |
| 2 | 1999 | 250 | |
| 3 | 1998 | 190 | |
| 4 | 1999 | 29 | |
| 5 | 1990 | 28 | |
| 6 | 1996 | 15 | |
| 7 | 2008 | 1 |
About Yih‐Tai Chen
Yih‐Tai Chen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Immunology and Allergy and Immunology, having authored 7 papers that have together received 960 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cellular Mechanics and Interactions (2 papers), Cell Adhesion Molecules Research (1 paper), Kruppel-like factors research (1 paper), Gene expression and cancer classification (1 paper), Ion channel regulation and function (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Cell Biology (483 citations), Immunology and Allergy (166 citations), Molecular Biology (621 citations), Immunology (134 citations) and Neurology (51 citations). Yih‐Tai Chen has collaborated with scholars based in United States. Frequent co-authors include W. James Nelson, Cynthia L. Adams, Stephen J Smith, Daniel B. Stewart, Sunil K. Shaw, Jonathan M.G. Higgins, Christina M. Parker, Elizabeth A. Murphy, Michael B. Brenner and Gary J. Russell. Their work appears in journals such as The Journal of Cell Biology, The FASEB Journal, American Journal of Physiology-Lung Cellular and Molecular Physiology, Analytical Biochemistry and Cell Motility and the Cytoskeleton.
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.