Hai-Su Yang
Impact in
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- Cancer-related Molecular Pathways
- HER2/EGFR in Cancer Research
Papers in
- Oncology 8
- Cancer-related Molecular Pathways 4
- Lung Cancer Research Studies 1
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- Ocular Oncology and Treatments 3
- Co-authors
- Philip W. Hinds (7 shared papers)Henry Y. Dong (4 shared papers)David Morgan Thomas (1 shared paper)Michael G. Brattain (4 shared papers)Dianhua Jiang (3 shared papers)Jiurong Liang (3 shared papers)Lisa E. Humphrey (3 shared papers)James K. V. Willson (2 shared papers)
- Journals
- Molecular Cell (2 papers)Journal of Clinical Oncology (1 paper)Journal of Cellular Physiology (1 paper)Biomarkers in Medicine (1 paper)Cancer Biology & Therapy (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Hai-Su Yang
18 papers receiving 530 citations
Peers
Comparison fields: 5 of 70
- Oncology 201
- Aging 12
- Immunology and Allergy 38
- Hematology 50
- Molecular Biology 270
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 | 75 | |
| 3 | 2003 | 62 | |
| 4 | 2023 | 60 | |
| 5 | 2004 | 57 | |
| 6 | 1998 | 38 | |
| 7 | The role of transforming growth factor alpha in determining growth factor independence. | 2003 | 34 |
| 8 | 2000 | 26 | |
| 9 | pRb inactivation in senescent cells leads to an E2F-dependent apoptosis requiring p73. | 2003 | 18 |
| 10 | 2003 | 17 | |
| 11 | 2007 | 17 | |
| 12 | 1998 | 16 | |
| 13 | 2014 | 10 | |
| 14 | 2013 | 9 | |
| 15 | 2012 | 9 | |
| 16 | 2003 | 4 | |
| 17 | 2010 | 2 | |
| 18 | 2016 | 1 |
About Hai-Su Yang
Hai-Su Yang is a scholar working on Oncology, Ophthalmology, Molecular Biology, Physiology and Hematology, having authored 18 papers that have together received 546 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 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), Glycosylation and Glycoproteins Research (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Oncology (201 citations), Aging (12 citations), Immunology and Allergy (38 citations), Hematology (50 citations) and Molecular Biology (270 citations). Hai-Su Yang has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Philip W. Hinds, Henry Y. Dong, David Morgan Thomas, Michael G. Brattain, Dianhua Jiang, Jiurong Liang, Lisa E. Humphrey, James K. V. Willson, Elizabeth Zborowska and Robert S. Fan. Their work appears in journals such as Molecular Cell, Journal of Clinical Oncology, Journal of Cellular Physiology, Biomarkers in Medicine and Cancer Biology & Therapy.
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.