Wayne Yu
Impact in
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Pluripotent Stem Cells Research
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Histone Deacetylase Inhibitors Research
- Cancer Research top 5%
Papers in
-
- Epigenetics and DNA Methylation 7
- Protein Structure and Dynamics 5
- Cancer-related gene regulation 5
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- Cancer-related molecular mechanisms research 4
- Cancer Genomics and Diagnostics 3
- Co-authors
- David M. Berman (4 shared papers)Stephen B. Baylin (5 shared papers)Leslie Cope (7 shared papers)Linzhao Cheng (2 shared papers)Joyce E. Ohm (2 shared papers)James G. Herman (3 shared papers)Kornel E. Schuebel (2 shared papers)Giovanni Parmigiani (3 shared papers)
- Journals
- Blood (4 papers)Biochemistry (4 papers)PLoS ONE (2 papers)PLoS Genetics (2 papers)Stem Cells (2 papers)
- Partner nations
- United StatesJapanBelgium
In The Last Decade
Wayne Yu
41 papers receiving 3.1k citations
Wayne Yu's Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 2.2k
- Cancer Research 365
- Aging 32
- Oncology 388
- Genetics 137
Countries citing papers authored by Wayne Yu
This map shows the geographic impact of Wayne Yu'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 Wayne Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Yu more than expected).
Fields of papers citing papers by Wayne Yu
This network shows the impact of papers produced by Wayne Yu. 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 Wayne Yu. The network helps show where Wayne Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne Yu, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A stem cell–like chromatin pattern may predispose tumor suppressor genes to DNA hypermethylation and heritable silencing Hit paper breakdown → | 2007 | 857 |
| 2 | 2010 | 360 | |
| 3 | 2007 | 295 | |
| 4 | 2008 | 164 | |
| 5 | 2007 | 160 | |
| 6 | 2008 | 145 | |
| 7 | 2009 | 109 | |
| 8 | 2008 | 96 | |
| 9 | 2010 | 85 | |
| 10 | 2009 | 69 | |
| 11 | 2011 | 66 | |
| 12 | 1969 | 61 | |
| 13 | 2018 | 57 | |
| 14 | 2008 | 57 | |
| 15 | 2010 | 54 | |
| 16 | 2011 | 47 | |
| 17 | 2005 | 47 | |
| 18 | 2005 | 42 | |
| 19 | 2009 | 39 | |
| 20 | 2016 | 36 |
About Wayne Yu
Wayne Yu is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Genetics, having authored 42 papers that have together received 3.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Protein Structure and Dynamics (5 papers), Cancer-related gene regulation (5 papers), Enzyme Structure and Function (4 papers), Cancer-related molecular mechanisms research (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Cancer Research (365 citations), Aging (32 citations), Oncology (388 citations) and Genetics (137 citations). Wayne Yu has collaborated with scholars based in United States, Japan and Belgium. Frequent co-authors include David M. Berman, Stephen B. Baylin, Leslie Cope, Linzhao Cheng, Joyce E. Ohm, James G. Herman, Kornel E. Schuebel, Giovanni Parmigiani, Thomas Jenuwein and Kevin Pruitt. Their work appears in journals such as Blood, Biochemistry, PLoS ONE, PLoS Genetics and Stem Cells.
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.