Yeu Su
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Oncology top 10%
- Cancer Cells and Metastasis
- Bone health and treatments
Papers in
-
- RNA Research and Splicing 4
- Bone Metabolism and Diseases 4
- Oncology 17
- Cancer Cells and Metastasis 5
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Sozos Ch. Papasozomenos (1 shared paper)Oscar K. Lee (4 shared papers)Wei-Shu Wang (3 shared papers)Shih‐Hwa Chiou (1 shared paper)Huann-Sheng Wang (2 shared papers)Ryuhei Kanamoto (4 shared papers)Ta‐Chung Chao (5 shared papers)Kevin Ho (1 shared paper)
- Journals
- Stem Cells (3 papers)Clinical Cancer Research (2 papers)Journal of Bone and Mineral Research (2 papers)Carcinogenesis (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Yeu Su
46 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 264
- Oncology 340
- Genetics 126
- Molecular Biology 653
- Cell Biology 128
Countries citing papers authored by Yeu Su
This map shows the geographic impact of Yeu Su'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 Yeu Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeu Su more than expected).
Fields of papers citing papers by Yeu Su
This network shows the impact of papers produced by Yeu Su. 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 Yeu Su. The network helps show where Yeu Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yeu Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 85 | |
| 2 | 2006 | 78 | |
| 3 | 2013 | 77 | |
| 4 | 1991 | 65 | |
| 5 | 2012 | 57 | |
| 6 | 2007 | 57 | |
| 7 | 2000 | 52 | |
| 8 | 2016 | 48 | |
| 9 | 2012 | 45 | |
| 10 | 2004 | 43 | |
| 11 | 2013 | 42 | |
| 12 | 2006 | 32 | |
| 13 | 2005 | 31 | |
| 14 | 1990 | 31 | |
| 15 | PPAR(gamma)/PGC-1(alpha) pathway in E-cadherin expression and motility of HepG2 cells. | 2009 | 31 |
| 16 | 2004 | 28 | |
| 17 | 2015 | 27 | |
| 18 | 2007 | 26 | |
| 19 | 1991 | 26 | |
| 20 | 1995 | 25 |
About Yeu Su
Yeu Su is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Surgery, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), RNA Research and Splicing (4 papers), MicroRNA in disease regulation (4 papers), Amino Acid Enzymes and Metabolism (4 papers), interferon and immune responses (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Bone Metabolism and Diseases (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Cancer Research (264 citations), Oncology (340 citations), Genetics (126 citations), Molecular Biology (653 citations) and Cell Biology (128 citations). Yeu Su has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Sozos Ch. Papasozomenos, Oscar K. Lee, Wei-Shu Wang, Shih‐Hwa Chiou, Huann-Sheng Wang, Ryuhei Kanamoto, Ta‐Chung Chao, Kevin Ho, Gordon Blunn and Wen-Yih Liang. Their work appears in journals such as Stem Cells, Clinical Cancer Research, Journal of Bone and Mineral Research, Carcinogenesis and Arteriosclerosis Thrombosis and Vascular Biology.
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.