Shu Wan Kau
- Cancer Research top 5%
- Breast Cancer Treatment Studies 10
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- Breast Lesions and Carcinomas 5
- Oncology top 10%
- Cancer Treatment and Pharmacology 8
- HER2/EGFR in Cancer Research 4
- Neutropenia and Cancer Infections 1
- Dermatology top 5%
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- Estrogen and related hormone effects 4
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- Lung Cancer Treatments and Mutations 2
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- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Gabriel N. HortobágyiAman U. BuzdarVicente ValeroBryan T. HennessyS. Eva SingletaryBruno D. FornageKristine BroglioAyşegül A. Şahin
- Journals
- Journal of Clinical Oncology (2 papers)Cancer (7 papers)Cancer Chemotherapy and Pharmacology (2 papers)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Shu Wan Kau
14 papers receiving 820 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 633
- Pathology and Forensic Medicine 418
- Oncology 453
- Dermatology 129
- Surgery 155
Countries citing papers authored by Shu Wan Kau
This map shows the geographic impact of Shu Wan Kau'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 Wan Kau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Wan Kau more than expected).
Fields of papers citing papers by Shu Wan Kau
This network shows the impact of papers produced by Shu Wan Kau. 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 Wan Kau. The network helps show where Shu Wan Kau may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shu Wan Kau, 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 | 2006 | 40 | |
| 2 | 2005 | 147 | |
| 3 | 2005 | 319 | |
| 4 | 2004 | 18 | |
| 5 | 1994 | 24 | |
| 6 | Combined-modality approach for patients with isolated recurrences of breast cancer (IV-NED). The M. D. Anderson experience | 1994 | 30 |
| 7 | 1994 | 1 | |
| 8 | 1993 | 48 | |
| 9 | 1990 | 49 | |
| 10 | 1989 | 11 | |
| 11 | 1989 | 56 | |
| 12 | 1989 | 69 | |
| 13 | 1988 | 22 | |
| 14 | 1988 | 9 |
About Shu Wan Kau
Shu Wan Kau is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 14 papers that have together received 843 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (10 papers), Cancer Treatment and Pharmacology (8 papers), Breast Lesions and Carcinomas (5 papers), Estrogen and related hormone effects (4 papers), HER2/EGFR in Cancer Research (4 papers), Lung Cancer Treatments and Mutations (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Neutropenia and Cancer Infections (1 paper). The work is most often cited by research in Cancer Research (633 citations), Pathology and Forensic Medicine (418 citations) and Oncology (453 citations). Shu Wan Kau has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Gabriel N. Hortobágyi, Aman U. Buzdar, Vicente Valero, Bryan T. Hennessy, S. Eva Singletary, Bruno D. Fornage, Kristine Broglio, Ayşegül A. Şahin, Nour Sneige and Terry L. Smith. Their work appears in journals such as Journal of Clinical Oncology, Cancer and Cancer Chemotherapy and Pharmacology.
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.