Min-Wei Chen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
Papers in
-
- Epigenetics and DNA Methylation 4
- Angiogenesis and VEGF in Cancer 3
- Cancer-related gene regulation 2
- Wnt/β-catenin signaling in development and cancer 2
- RNA modifications and cancer 2
-
- MicroRNA in disease regulation 2
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Kuo‐Tai Hua (10 shared papers)Michael Hsiao (10 shared papers)Ming‐Hsien Chien (7 shared papers)Min‐Liang Kuo (8 shared papers)Lin‐Hung Wei (6 shared papers)Jen-Liang Su (5 shared papers)Gunnar Johansson (3 shared papers)Pai‐Sheng Chen (2 shared papers)
- Journals
- Cancer Research (3 papers)Annals of Surgical Oncology (2 papers)Molecular Cancer (1 paper)Evidence-based Complementary and Alternative Medicine (1 paper)Carcinogenesis (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Min-Wei Chen
14 papers receiving 994 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 233
- Molecular Biology 747
- Oncology 168
- Immunology 87
- Cell Biology 53
Countries citing papers authored by Min-Wei Chen
This map shows the geographic impact of Min-Wei 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 Min-Wei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min-Wei Chen more than expected).
Fields of papers citing papers by Min-Wei Chen
This network shows the impact of papers produced by Min-Wei 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 Min-Wei Chen. The network helps show where Min-Wei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Min-Wei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 315 | |
| 2 | 2017 | 131 | |
| 3 | 2007 | 126 | |
| 4 | 2005 | 93 | |
| 5 | 2009 | 71 | |
| 6 | 1989 | 47 | |
| 7 | 2013 | 46 | |
| 8 | 2016 | 45 | |
| 9 | 2015 | 30 | |
| 10 | 2013 | 30 | |
| 11 | 2014 | 26 | |
| 12 | 2016 | 24 | |
| 13 | 2021 | 21 | |
| 14 | 2013 | 11 |
About Min-Wei Chen
Min-Wei Chen is a scholar working on Molecular Biology, Cancer Research, Oncology, Cellular and Molecular Neuroscience and Genetics, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Lymphatic System and Diseases (2 papers), MicroRNA in disease regulation (2 papers), Cancer-related gene regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), RNA modifications and cancer (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (233 citations), Molecular Biology (747 citations), Oncology (168 citations), Immunology (87 citations) and Cell Biology (53 citations). Min-Wei Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Kuo‐Tai Hua, Michael Hsiao, Ming‐Hsien Chien, Min‐Liang Kuo, Lin‐Hung Wei, Jen-Liang Su, Gunnar Johansson, Pai‐Sheng Chen, Yung‐Ming Jeng and Tsung‐Ching Lai. Their work appears in journals such as Cancer Research, Annals of Surgical Oncology, Molecular Cancer, Evidence-based Complementary and Alternative Medicine and Carcinogenesis.
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.