Ming-Yang Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- Angiogenesis and VEGF in Cancer
- Connective Tissue Growth Factor Research
Papers in ⓘ
-
- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 2
- Co-authors
- Min‐Liang Kuo (7 shared papers)King‐Jen Chang (7 shared papers)Pai‐Sheng Chen (6 shared papers)Ming‐Tsan Lin (8 shared papers)Jen-Liang Su (4 shared papers)Yung‐Ming Jeng (3 shared papers)Pan‐Chyr Yang (3 shared papers)Mien‐Chie Hung (3 shared papers)
- Journals
- Journal of Clinical Investigation (2 papers)Cancer Research (2 papers)Cancer Cell (2 papers)Clinical Cancer Research (1 paper)Nutrition (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Ming-Yang Wang
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 84
- Cancer Research 536
- Molecular Biology 903
- Oncology 286
- Cell Biology 79
- Immunology 100
Countries citing papers authored by Ming-Yang Wang
This map shows the geographic impact of Ming-Yang Wang'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 Ming-Yang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Yang Wang more than expected).
Fields of papers citing papers by Ming-Yang Wang
This network shows the impact of papers produced by Ming-Yang Wang. 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 Ming-Yang Wang. The network helps show where Ming-Yang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-Yang Wang, 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 | 2006 | 277 | |
| 2 | 2010 | 168 | |
| 3 | 2007 | 126 | |
| 4 | 2011 | 125 | |
| 5 | 2019 | 94 | |
| 6 | 2009 | 81 | |
| 7 | 2016 | 69 | |
| 8 | 2017 | 58 | |
| 9 | 2015 | 41 | |
| 10 | 2015 | 37 | |
| 11 | 2017 | 33 | |
| 12 | 2014 | 20 | |
| 13 | 2008 | 8 | |
| 14 | 2016 | 7 | |
| 15 | 2018 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2011 | 6 | |
| 18 | 2007 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2009 | 4 |
About Ming-Yang Wang
Ming-Yang Wang is a scholar working on Cancer Research, Gastroenterology, Genetics, Molecular Biology and Oncology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (2 papers), Connective tissue disorders research (2 papers), Lymphatic System and Diseases (2 papers), Connective Tissue Growth Factor Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Cancer Research (536 citations), Molecular Biology (903 citations), Oncology (286 citations), Cell Biology (79 citations) and Immunology (100 citations). Ming-Yang Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Min‐Liang Kuo, King‐Jen Chang, Pai‐Sheng Chen, Ming‐Tsan Lin, Jen-Liang Su, Yung‐Ming Jeng, Pan‐Chyr Yang, Mien‐Chie Hung, Jin‐Shing Chen and Ching‐Yao Yang. Their work appears in journals such as Journal of Clinical Investigation, Cancer Research, Cancer Cell, Clinical Cancer Research and Nutrition.
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.