Yeu Su
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Protease and Inhibitor Mechanisms
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- RNA Research and Splicing 4
- Bone Metabolism and Diseases 3
- Oncology 13
- Cancer Cells and Metastasis 4
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Sozos Ch. Papasozomenos (1 shared paper)Wei-Shu Wang (3 shared papers)Oscar K. Lee (4 shared papers)Shih‐Hwa Chiou (1 shared paper)Huann-Sheng Wang (2 shared papers)Ryuhei Kanamoto (4 shared papers)Kevin Ho (1 shared paper)Gordon Blunn (1 shared paper)
- Journals
- Stem Cells (3 papers)Carcinogenesis (2 papers)Journal of Bone and Mineral Research (2 papers)Clinical Cancer Research (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)
- Partner nations
- TaiwanUnited StatesHong Kong
In The Last Decade
Yeu Su
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Cancer Research 242
- Oncology 294
- Genetics 106
- Molecular Biology 599
- Cell Biology 120
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 | 88 | |
| 2 | 2006 | 82 | |
| 3 | 2013 | 78 | |
| 4 | 1991 | 66 | |
| 5 | 2012 | 59 | |
| 6 | 2007 | 57 | |
| 7 | 2000 | 53 | |
| 8 | 2016 | 49 | |
| 9 | 2012 | 45 | |
| 10 | 2004 | 44 | |
| 11 | 2013 | 42 | |
| 12 | 2005 | 33 | |
| 13 | 2006 | 32 | |
| 14 | PPAR(gamma)/PGC-1(alpha) pathway in E-cadherin expression and motility of HepG2 cells. | 2009 | 31 |
| 15 | 1990 | 31 | |
| 16 | 2004 | 29 | |
| 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 (4 papers), RNA Research and Splicing (4 papers), Amino Acid Enzymes and Metabolism (4 papers), interferon and immune responses (3 papers), Bone Metabolism and Diseases (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Mesenchymal stem cell research (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Cancer Research (242 citations), Oncology (294 citations), Genetics (106 citations), Molecular Biology (599 citations) and Cell Biology (120 citations). Yeu Su has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Sozos Ch. Papasozomenos, Wei-Shu Wang, Oscar K. Lee, Shih‐Hwa Chiou, Huann-Sheng Wang, Ryuhei Kanamoto, Kevin Ho, Gordon Blunn, Ta‐Chung Chao and Wen-Yih Liang. Their work appears in journals such as Stem Cells, Carcinogenesis, Journal of Bone and Mineral Research, Clinical Cancer Research 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.