Wang L. Cheung
Impact in
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Histone Deacetylase Inhibitors Research
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- RNA Research and Splicing
- DNA Repair Mechanisms
- Aging top 5%
Papers in
-
- Skin Diseases and Diabetes 3
- Oncology 8
- Cutaneous Melanoma Detection and Management 3
- Co-authors
- C. David AllisScott BriggsPeter CheungPaolo Sassone‐CorsiKirk TannerJohn M. DenuAndrew B. LassarDouglas B. Spicer
- Journals
- Journal of Cutaneous Pathology (4 papers)Current Biology (2 papers)Cell (2 papers)Genes & Development (2 papers)American Journal of Dermatopathology (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Wang L. Cheung
36 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 2.5k
- Aging 53
- Cell Biology 315
- Dermatology 131
- Oncology 356
Countries citing papers authored by Wang L. Cheung
This map shows the geographic impact of Wang L. Cheung'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 Wang L. Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang L. Cheung more than expected).
Fields of papers citing papers by Wang L. Cheung
This network shows the impact of papers produced by Wang L. Cheung. 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 Wang L. Cheung. The network helps show where Wang L. Cheung may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang L. Cheung, 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 | 2015 | 1 | |
| 2 | 2015 | 76 | |
| 3 | 2014 | 3 | |
| 4 | 2012 | 3 | |
| 5 | 2012 | 5 | |
| 6 | 2012 | 2 | |
| 7 | 2011 | 7 | |
| 8 | 2010 | 6 | |
| 9 | Linear psoriasis - eScholarship | 2009 | 3 |
| 10 | 2008 | 10 | |
| 11 | 2008 | 42 | |
| 12 | 2006 | 85 | |
| 13 | 2006 | 9 | |
| 14 | 2005 | 108 | |
| 15 | 2005 | 205 | |
| 16 | 2004 | 114 | |
| 17 | 2003 | 383 | |
| 18 | 2001 | 494 | |
| 19 | Synergistic Coupling of Histone H3 Phosphorylation and Acetylation in Response to Epidermal Growth Factor Stimulation Hit paper breakdown → | 2000 | 643 |
| 20 | 1996 | 288 |
About Wang L. Cheung
Wang L. Cheung is a scholar working on Dermatology, Oncology, Molecular Biology, Virology and Epidemiology, having authored 36 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (12 papers), Ubiquitin and proteasome pathways (4 papers), Epigenetics and DNA Methylation (4 papers), Skin Diseases and Diabetes (3 papers), Cancer-related gene regulation (3 papers), Cutaneous Melanoma Detection and Management (3 papers), Nonmelanoma Skin Cancer Studies (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Aging (53 citations), Cell Biology (315 citations), Dermatology (131 citations) and Oncology (356 citations). Wang L. Cheung has collaborated with scholars based in United States, Germany and France. Frequent co-authors include C. David Allis, Scott Briggs, Peter Cheung, Paolo Sassone‐Corsi, Kirk Tanner, John M. Denu, Andrew B. Lassar, Douglas B. Spicer, James Rhee and Brian D. Strahl. Their work appears in journals such as Journal of Cutaneous Pathology, Current Biology, Cell, Genes & Development and American Journal of Dermatopathology.
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.