Shu-Chi Hsu
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Molecular Biology top 5%
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Developmental Biology and Gene Regulation
- Kruppel-like factors research
- Epigenetics and DNA Methylation
- Congenital heart defects research
- RNA Research and Splicing
Papers in
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- Wnt/β-catenin signaling in development and cancer 8
- Cancer-related gene regulation 4
- Developmental Biology and Gene Regulation 3
- Kruppel-like factors research 1
- Metabolism, Diabetes, and Cancer 1
-
- Alzheimer's disease research and treatments 2
- Co-authors
- Rudolf Grosschedl (6 shared papers)Joan Galcerán (3 shared papers)Mariann Bienz (1 shared paper)Salih Eresh (1 shared paper)Xiang Yu (1 shared paper)Roslyn McKendry (1 shared paper)Richard M. Harland (1 shared paper)Shoukat Dedhar (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Proceedings of the National Academy of Sciences (2 papers)Genes & Development (1 paper)Gene (1 paper)Cell (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Shu-Chi Hsu
9 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 82
- Immunology and Allergy 170
- Molecular Biology 1.5k
- Cell Biology 244
- Aging 24
- Genetics 184
Countries citing papers authored by Shu-Chi Hsu
This map shows the geographic impact of Shu-Chi 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 Shu-Chi Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu-Chi Hsu more than expected).
Fields of papers citing papers by Shu-Chi Hsu
This network shows the impact of papers produced by Shu-Chi 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 Shu-Chi Hsu. The network helps show where Shu-Chi Hsu may publish in the future.
Co-authors
The 20 scholars most cited alongside Shu-Chi 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 | 1997 | 385 | |
| 2 | 1998 | 364 | |
| 3 | 1998 | 327 | |
| 4 | 1997 | 214 | |
| 5 | 2004 | 154 | |
| 6 | 2001 | 102 | |
| 7 | 2001 | 88 | |
| 8 | 2001 | 61 | |
| 9 | 2002 | 3 | |
| 10 | 2009 | 0 |
About Shu-Chi Hsu
Shu-Chi Hsu is a scholar working on Molecular Biology, Physiology, Cancer Research, Oncology and Genetics, having authored 10 papers that have together received 1.7k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (8 papers), Cancer-related gene regulation (4 papers), Developmental Biology and Gene Regulation (3 papers), Alzheimer's disease research and treatments (2 papers), Plant Molecular Biology Research (1 paper), Kruppel-like factors research (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Immunology and Allergy (170 citations), Molecular Biology (1.5k citations), Cell Biology (244 citations), Aging (24 citations) and Genetics (184 citations). Shu-Chi Hsu has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Rudolf Grosschedl, Joan Galcerán, Mariann Bienz, Salih Eresh, Xiang Yu, Roslyn McKendry, Richard M. Harland, Shoukat Dedhar, Chungyee Leung-Hagesteijn and Calvin D. Roskelley. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Genes & Development, Gene and Cell.
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.