J. Yau
Impact in
- Health Informatics top 10%
- Oncology top 10%
- Viral-associated cancers and disorders
Papers in
- Oncology 8
- Lung Cancer Research Studies 3
-
- Cancer therapeutics and mechanisms 3
- DNA Repair Mechanisms 1
- Ubiquitin and proteasome pathways 1
- Co-authors
- John P.H. Th'ng (3 shared papers)Christina Richard (3 shared papers)Sergey Guryanov (1 shared paper)Valentina Evdokimova (1 shared paper)Alexey V. Sorokin (1 shared paper)I. V. Nazimov (1 shared paper)Maxim A. Skabkin (1 shared paper)Lev P. Ovchinnikov (1 shared paper)
- Journals
- Annals of Oncology (3 papers)Journal of Clinical Oncology (2 papers)Clinical Cancer Research (1 paper)Journal of Medical Internet Research (1 paper)Journal of Molecular Diagnostics (1 paper)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
J. Yau
19 papers receiving 699 citations
Peers
Comparison fields: 5 of 84
- Health Informatics 12
- Oncology 223
- Pathology and Forensic Medicine 137
- Cancer Research 90
- Hematology 52
Countries citing papers authored by J. Yau
This map shows the geographic impact of J. Yau'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 J. Yau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Yau more than expected).
Fields of papers citing papers by J. Yau
This network shows the impact of papers produced by J. Yau. 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 J. Yau. The network helps show where J. Yau may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Yau, 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 | 2005 | 133 | |
| 2 | 2003 | 120 | |
| 3 | 1994 | 92 | |
| 4 | 2016 | 62 | |
| 5 | 2006 | 51 | |
| 6 | 1990 | 43 | |
| 7 | 1991 | 33 | |
| 8 | 2000 | 32 | |
| 9 | 1996 | 29 | |
| 10 | 1991 | 28 | |
| 11 | 2006 | 23 | |
| 12 | 2024 | 20 | |
| 13 | 2005 | 15 | |
| 14 | 1990 | 11 | |
| 15 | 2002 | 7 | |
| 16 | 1995 | 5 | |
| 17 | 1997 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 1997 | 1 |
About J. Yau
J. Yau is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Cancer Research and Surgery, having authored 19 papers that have together received 708 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (3 papers), Cancer therapeutics and mechanisms (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Neuroendocrine Tumor Research Advances (2 papers), DNA Repair Mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper), Cancer Genomics and Diagnostics (1 paper) and Nausea and vomiting management (1 paper). The work is most often cited by research in Health Informatics (12 citations), Oncology (223 citations), Pathology and Forensic Medicine (137 citations), Cancer Research (90 citations) and Hematology (52 citations). J. Yau has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include John P.H. Th'ng, Christina Richard, Sergey Guryanov, Valentina Evdokimova, Alexey V. Sorokin, I. V. Nazimov, Maxim A. Skabkin, Lev P. Ovchinnikov, Poul H. Sorensen and Kevin Imrie. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Clinical Cancer Research, Journal of Medical Internet Research and Journal of Molecular Diagnostics.
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.