Dahu Chen
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in ⓘ
- Co-authors
- Yutong Sun (6 shared papers)Li Ma (6 shared papers)Peijing Zhang (5 shared papers)Mien‐Chie Hung (4 shared papers)Yongkun Wei (3 shared papers)Han Liang (4 shared papers)Jinsong Zhang (3 shared papers)Junjie Chen (3 shared papers)
- Journals
- Pigment Cell & Melanoma Research (2 papers)Nature Cell Biology (2 papers)Journal of Biological Chemistry (2 papers)Cancer Research (2 papers)Nature Medicine (1 paper)
- Partner nations
- United StatesTaiwanIndia
In The Last Decade
Dahu Chen
21 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 96
- Cancer Research 554
- Molecular Biology 1.4k
- Oncology 544
- Cell Biology 296
- Immunology 174
Countries citing papers authored by Dahu Chen
This map shows the geographic impact of Dahu Chen'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 Dahu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dahu Chen more than expected).
Fields of papers citing papers by Dahu Chen
This network shows the impact of papers produced by Dahu Chen. 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 Dahu Chen. The network helps show where Dahu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dahu Chen, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 355 | |
| 2 | 2012 | 352 | |
| 3 | 2013 | 173 | |
| 4 | 2014 | 149 | |
| 5 | 2016 | 134 | |
| 6 | 2014 | 111 | |
| 7 | 1995 | 97 | |
| 8 | SKI activates Wnt/beta-catenin signaling in human melanoma. | 2003 | 91 |
| 9 | 2016 | 78 | |
| 10 | 2007 | 63 | |
| 11 | 2013 | 60 | |
| 12 | 2005 | 48 | |
| 13 | 2005 | 45 | |
| 14 | 2001 | 38 | |
| 15 | 2009 | 30 | |
| 16 | 2004 | 29 | |
| 17 | 1999 | 22 | |
| 18 | 1999 | 20 | |
| 19 | 2010 | 7 | |
| 20 | 2000 | 2 |
About Dahu Chen
Dahu Chen is a scholar working on Immunology and Allergy, Reproductive Medicine, Molecular Biology, Cancer Research and Cell Biology, having authored 21 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related gene regulation (4 papers), Estrogen and related hormone effects (4 papers), TGF-β signaling in diseases (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related Molecular Pathways (3 papers), Reproductive System and Pregnancy (3 papers), Ubiquitin and proteasome pathways (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (554 citations), Molecular Biology (1.4k citations), Oncology (544 citations), Cell Biology (296 citations) and Immunology (174 citations). Dahu Chen has collaborated with scholars based in United States, Taiwan and India. Frequent co-authors include Yutong Sun, Li Ma, Peijing Zhang, Mien‐Chie Hung, Yongkun Wei, Han Liang, Jinsong Zhang, Junjie Chen, Sumeet Gupta and Julie Teruya‐Feldstein. Their work appears in journals such as Pigment Cell & Melanoma Research, Nature Cell Biology, Journal of Biological Chemistry, Cancer Research and Nature Medicine.
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.