Hai-Su Yang
Impact in
-
- Cancer-related Molecular Pathways
- HER2/EGFR in Cancer Research
Papers in
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- TGF-β signaling in diseases 3
- Genomics and Chromatin Dynamics 3
- Kruppel-like factors research 1
- Protein Degradation and Inhibitors 1
- Oncology 10
- Cancer-related Molecular Pathways 5
- Co-authors
- Philip W. Hinds (7 shared papers)Henry Y. Dong (4 shared papers)David M. Thomas (1 shared paper)Michael G. Brattain (4 shared papers)Jiurong Liang (3 shared papers)Dianhua Jiang (3 shared papers)Lisa E. Humphrey (3 shared papers)Elizabeth Zborowska (2 shared papers)
- Journals
- Molecular Cell (2 papers)Cancer Biomarkers (1 paper)The American Journal of Surgical Pathology (1 paper)Journal of Cellular Physiology (1 paper)BMC Developmental Biology (1 paper)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Hai-Su Yang
17 papers receiving 459 citations
Peers
Comparison fields: 5 of 75
- Aging 14
- Oncology 194
- Immunology and Allergy 40
- Hematology 52
- Molecular Biology 269
Countries citing papers authored by Hai-Su Yang
This map shows the geographic impact of Hai-Su Yang'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 Hai-Su Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai-Su Yang more than expected).
Fields of papers citing papers by Hai-Su Yang
This network shows the impact of papers produced by Hai-Su Yang. 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 Hai-Su Yang. The network helps show where Hai-Su Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai-Su Yang, 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 | 2003 | 91 | |
| 2 | 2011 | 70 | |
| 3 | 2003 | 60 | |
| 4 | 2004 | 57 | |
| 5 | 1998 | 37 | |
| 6 | The role of transforming growth factor alpha in determining growth factor independence. | 2003 | 32 |
| 7 | 2000 | 25 | |
| 8 | 2007 | 17 | |
| 9 | pRb inactivation in senescent cells leads to an E2F-dependent apoptosis requiring p73. | 2003 | 17 |
| 10 | 2003 | 16 | |
| 11 | 1998 | 13 | |
| 12 | 2014 | 10 | |
| 13 | 2013 | 8 | |
| 14 | 2012 | 7 | |
| 15 | 2003 | 4 | |
| 16 | 2010 | 1 | |
| 17 | 2016 | 1 |
About Hai-Su Yang
Hai-Su Yang is a scholar working on Molecular Biology, Oncology, Physiology, Ophthalmology and Hematology, having authored 17 papers that have together received 466 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), TGF-β signaling in diseases (3 papers), Genomics and Chromatin Dynamics (3 papers), Ocular Oncology and Treatments (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Multiple Myeloma Research and Treatments (2 papers), Kruppel-like factors research (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Aging (14 citations), Oncology (194 citations), Immunology and Allergy (40 citations), Hematology (52 citations) and Molecular Biology (269 citations). Hai-Su Yang has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Philip W. Hinds, Henry Y. Dong, David M. Thomas, Michael G. Brattain, Jiurong Liang, Dianhua Jiang, Lisa E. Humphrey, Elizabeth Zborowska, Robert S. Fan and James K. V. Willson. Their work appears in journals such as Molecular Cell, Cancer Biomarkers, The American Journal of Surgical Pathology, Journal of Cellular Physiology and BMC Developmental 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.