W.Y. Au
Impact in
-
- Lymphoma Diagnosis and Treatment
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
- Hematology 27
- Acute Myeloid Leukemia Research 15
- Hematopoietic Stem Cell Transplantation 7
- Chronic Myeloid Leukemia Treatments 6
- Genetics 17
- Chronic Lymphocytic Leukemia Research 7
- Hemoglobinopathies and Related Disorders 5
- Co-authors
- Yok‐Lam Kwong (32 shared papers)Raymond Liang (15 shared papers)Carolyn Choy (6 shared papers)Kwok Wah Chan (2 shared papers)A K W Lie (10 shared papers)Wai‐Kuen Ho (1 shared paper)John K. Chan (1 shared paper)Chor Sang Chim (5 shared papers)
- Journals
- British Journal of Haematology (5 papers)Annals of Oncology (5 papers)Bone Marrow Transplantation (5 papers)Annals of Hematology (4 papers)American Journal of Hematology (4 papers)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
W.Y. Au
56 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 62
- Pathology and Forensic Medicine 534
- Hematology 328
- Genetics 230
- Oncology 448
- Dermatology 100
Countries citing papers authored by W.Y. Au
This map shows the geographic impact of W.Y. Au'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 W.Y. Au with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W.Y. Au more than expected).
Fields of papers citing papers by W.Y. Au
This network shows the impact of papers produced by W.Y. Au. 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 W.Y. Au. The network helps show where W.Y. Au may publish in the future.
Co-authors
The 25 scholars most cited alongside W.Y. Au, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 180 | |
| 2 | 2001 | 139 | |
| 3 | 2003 | 70 | |
| 4 | 1997 | 60 | |
| 5 | 2003 | 51 | |
| 6 | 1998 | 39 | |
| 7 | 1999 | 33 | |
| 8 | 2007 | 30 | |
| 9 | 2003 | 29 | |
| 10 | 2004 | 29 | |
| 11 | 2002 | 26 | |
| 12 | 1997 | 25 | |
| 13 | 2003 | 22 | |
| 14 | 2003 | 20 | |
| 15 | 2002 | 20 | |
| 16 | 2009 | 19 | |
| 17 | 1999 | 18 | |
| 18 | 2004 | 18 | |
| 19 | 2007 | 17 | |
| 20 | 1998 | 17 |
About W.Y. Au
W.Y. Au is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Immunology, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Lymphoma Diagnosis and Treatment (14 papers), Viral-associated cancers and disorders (10 papers), Chronic Lymphocytic Leukemia Research (7 papers), Hematopoietic Stem Cell Transplantation (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Hemoglobinopathies and Related Disorders (5 papers) and Retinoids in leukemia and cellular processes (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (534 citations), Hematology (328 citations), Genetics (230 citations), Oncology (448 citations) and Dermatology (100 citations). W.Y. Au has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Yok‐Lam Kwong, Raymond Liang, Carolyn Choy, Kwok Wah Chan, A K W Lie, Wai‐Kuen Ho, John K. Chan, Chor Sang Chim, Albert K. W. Lie and CC Yau. Their work appears in journals such as British Journal of Haematology, Annals of Oncology, Bone Marrow Transplantation, Annals of Hematology and American Journal of Hematology.
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.