Ming-Cheng Chen
Impact in
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
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- Nigella sativa pharmacological applications
Papers in
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- Ubiquitin and proteasome pathways 2
- Wnt/β-catenin signaling in development and cancer 2
- Heat shock proteins research 1
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- MicroRNA in disease regulation 3
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Chih‐Yang Huang (12 shared papers)Wei‐Wen Kuo (8 shared papers)Hsi-Hsien Hsu (7 shared papers)Chuan‐Chou Tu (5 shared papers)Tsung‐Jung Ho (7 shared papers)Yueh-Min Lin (5 shared papers)Vijaya Padma Viswanadha (3 shared papers)N. Lee (3 shared papers)
In The Last Decade
Ming-Cheng Chen
15 papers receiving 392 citations
Peers
Comparison fields: 5 of 60
- Toxicology 53
- Complementary and alternative medicine 85
- Cancer Research 73
- Biochemistry 31
- Pathology and Forensic Medicine 55
Countries citing papers authored by Ming-Cheng Chen
This map shows the geographic impact of Ming-Cheng 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 Ming-Cheng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Cheng Chen more than expected).
Fields of papers citing papers by Ming-Cheng Chen
This network shows the impact of papers produced by Ming-Cheng 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 Ming-Cheng Chen. The network helps show where Ming-Cheng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-Cheng 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 | 2019 | 72 | |
| 2 | 2015 | 69 | |
| 3 | 2016 | 63 | |
| 4 | 2017 | 56 | |
| 5 | 2014 | 27 | |
| 6 | 2013 | 26 | |
| 7 | 2016 | 26 | |
| 8 | 2013 | 13 | |
| 9 | 2012 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2016 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2002 | 5 | |
| 14 | 2024 | 1 | |
| 15 | 2007 | 1 |
About Ming-Cheng Chen
Ming-Cheng Chen is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Complementary and alternative medicine and Surgery, having authored 15 papers that have together received 395 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Ubiquitin and proteasome pathways (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Nigella sativa pharmacological applications (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Ferroptosis and cancer prognosis (1 paper), Heat shock proteins research (1 paper) and Natural Products and Biological Research (1 paper). The work is most often cited by research in Toxicology (53 citations), Complementary and alternative medicine (85 citations), Cancer Research (73 citations), Biochemistry (31 citations) and Pathology and Forensic Medicine (55 citations). Ming-Cheng Chen has collaborated with scholars based in Taiwan, India and China. Frequent co-authors include Chih‐Yang Huang, Wei‐Wen Kuo, Hsi-Hsien Hsu, Chuan‐Chou Tu, Tsung‐Jung Ho, Yueh-Min Lin, Vijaya Padma Viswanadha, N. Lee, Po‐Hsiang Liao and Dennis Jine-Yuan Hsieh. Their work appears in journals such as Cancer Letters, Gene, Cancer Cell International, Journal of Agricultural and Food Chemistry and Bioscience Biotechnology and Biochemistry.
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.