Yuker Wang
Impact in
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
-
- Cancer Genomics and Diagnostics
Papers in
-
- Gene expression and cancer classification 5
- Molecular Biology Techniques and Applications 4
- Advanced biosensing and bioanalysis techniques 1
- Genetics 6
- Genomic variations and chromosomal abnormalities 6
- Chronic Lymphocytic Leukemia Research 1
- Co-authors
- Joshua D. Schiffman (3 shared papers)Malek Faham (6 shared papers)Joe W. Gray (3 shared papers)Paul T. Spellman (3 shared papers)Margaret J. Smith (1 shared paper)Doug Horsman (1 shared paper)Pardeep Kaurah (1 shared paper)Joshua Z. Press (1 shared paper)
- Journals
- Cancer Research (2 papers)Genome biology (1 paper)PLoS ONE (1 paper)Blood (1 paper)Journal of Cancer Research and Clinical Oncology (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Yuker Wang
10 papers receiving 435 citations
Peers
Comparison fields: 5 of 40
- Reproductive Medicine 119
- Cancer Research 94
- Oncology 153
- Genetics 102
- Genetics 34
Countries citing papers authored by Yuker Wang
This map shows the geographic impact of Yuker Wang'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 Yuker Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuker Wang more than expected).
Fields of papers citing papers by Yuker Wang
This network shows the impact of papers produced by Yuker Wang. 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 Yuker Wang. The network helps show where Yuker Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuker Wang, 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 | 2008 | 210 | |
| 2 | 2012 | 90 | |
| 3 | 2007 | 55 | |
| 4 | 2011 | 38 | |
| 5 | 2009 | 31 | |
| 6 | 2017 | 16 | |
| 7 | 2008 | 1 | |
| 8 | Copy number analysis and allele quantitation by Molecular Inversion Probe (MIP) on GeneChip arrays | 2006 | 1 |
| 9 | 2007 | 1 | |
| 10 | 2012 | 1 |
About Yuker Wang
Yuker Wang is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Cancer Research and Genetics, having authored 10 papers that have together received 444 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (6 papers), Gene expression and cancer classification (5 papers), Molecular Biology Techniques and Applications (4 papers), Acute Lymphoblastic Leukemia research (2 papers), Cancer Genomics and Diagnostics (2 papers), Acute Myeloid Leukemia Research (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Reproductive Medicine (119 citations), Cancer Research (94 citations), Oncology (153 citations), Genetics (102 citations) and Genetics (34 citations). Yuker Wang has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Joshua D. Schiffman, Malek Faham, Joe W. Gray, Paul T. Spellman, Margaret J. Smith, Doug Horsman, Pardeep Kaurah, Joshua Z. Press, Dianne Miller and David G. Huntsman. Their work appears in journals such as Cancer Research, Genome biology, PLoS ONE, Blood and Journal of Cancer Research and Clinical Oncology.
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.