W.Y. Au

2.0k citations
57 papers · 1.1k indexed · h-index 18
    • Lymphoma Diagnosis and Treatment 14
  • Hematology top 5%
    • Acute Myeloid Leukemia Research 15
    • Hematopoietic Stem Cell Transplantation 7
    • Chronic Myeloid Leukemia Treatments 6
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research 7
    • Hemoglobinopathies and Related Disorders 5
  • Oncology top 10%
    • Viral-associated cancers and disorders 10
    • CNS Lymphoma Diagnosis and Treatment 4

W.Y. Au

56 papers receiving 1.1k citations

Peers

W.Y. Au
Comparison fields: 5 of 62
  • Pathology and Forensic Medicine 534
  • Hematology 328
  • Genetics 230
  • Oncology 448
  • Dermatology 100
Replace Rika Sakai with:
Rika Sakai Japan
Erin Morris United States
SJ Proctor United Kingdom
Wataru Munakata Japan
Nicole Straetmans Belgium
José‐Tomás Navarro Spain
Stephanie Gregory United States
Masahito Tsurusawa Japan
Shimareet Kumar United States
Jordi Juncà Spain
W.Y. Au relative to Rika Sakai Japan Rika Sakai's profile →
Citations per field
00.5×1.5×
Rika Sakai · 1×
Citations per year

Countries citing papers authored by W.Y. Au

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with W.Y. Au Line = papers co-authored together W.Y. Au links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 200717
3 200429
4 20044
5 200329
6 200320
7 200370
8 200313
9 20026
10 200213
11 200226
12 200014
13 20004
14 19997
15 19997
16 199810
17 199817
18
Unrelated marrow donor registry for Chinese.
19972
19 199725
20 199715

About W.Y. Au

W.Y. Au is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Health Informatics and Oncology, 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 CNS Lymphoma Diagnosis and Treatment (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, Chor Sang Chim, John K. Chan, Albert K. W. Lie and Edmond S.K.. 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.

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