Dahu Chen
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
-
- Cancer-related gene regulation 5
- TGF-β signaling in diseases 4
- Ubiquitin and proteasome pathways 3
- Epigenetics and DNA Methylation 3
- Oncology 5
- Cancer-related Molecular Pathways 3
- Co-authors
- Li Ma (6 shared papers)Yutong Sun (6 shared papers)Peijing Zhang (5 shared papers)Mien‐Chie Hung (4 shared papers)Yongkun Wei (3 shared papers)Han Liang (4 shared papers)Junjie Chen (3 shared papers)Jinsong Zhang (3 shared papers)
- Journals
- Cancer Research (2 papers)Nature Cell Biology (2 papers)Pigment Cell & Melanoma Research (2 papers)Journal of Biological Chemistry (2 papers)Endocrinology (1 paper)
- Partner nations
- United StatesTaiwanBelgium
In The Last Decade
Dahu Chen
22 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 502
- Oncology 506
- Molecular Biology 1.3k
- Cell Biology 297
- Immunology 164
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 361 | |
| 2 | 2012 | 359 | |
| 3 | 2013 | 177 | |
| 4 | 2014 | 155 | |
| 5 | 2016 | 147 | |
| 6 | 2014 | 113 | |
| 7 | 1995 | 110 | |
| 8 | SKI activates Wnt/beta-catenin signaling in human melanoma. | 2003 | 92 |
| 9 | 2016 | 79 | |
| 10 | 2007 | 68 | |
| 11 | 2013 | 61 | |
| 12 | 2005 | 48 | |
| 13 | 2005 | 45 | |
| 14 | 2001 | 40 | |
| 15 | 2009 | 31 | |
| 16 | 2004 | 31 | |
| 17 | 1999 | 23 | |
| 18 | 1999 | 21 | |
| 19 | 2010 | 7 | |
| 20 | 2000 | 2 |
About Dahu Chen
Dahu Chen is a scholar working on Molecular Biology, Oncology, Genetics, Cell Biology and Immunology and Allergy, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related gene regulation (5 papers), Estrogen and related hormone effects (4 papers), TGF-β signaling in diseases (4 papers), Ubiquitin and proteasome pathways (3 papers), Cancer-related Molecular Pathways (3 papers), Reproductive System and Pregnancy (3 papers), Epigenetics and DNA Methylation (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Cancer Research (502 citations), Oncology (506 citations), Molecular Biology (1.3k citations), Cell Biology (297 citations) and Immunology (164 citations). Dahu Chen has collaborated with scholars based in United States, Taiwan and Belgium. Frequent co-authors include Li Ma, Yutong Sun, Peijing Zhang, Mien‐Chie Hung, Yongkun Wei, Han Liang, Junjie Chen, Jinsong Zhang, Julie Teruya‐Feldstein and Yuan Yuan. Their work appears in journals such as Cancer Research, Nature Cell Biology, Pigment Cell & Melanoma Research, Journal of Biological Chemistry and Endocrinology.
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.