Ming‐Cheng Chen
Impact in
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Cell death mechanisms and regulation 4
- Circular RNAs in diseases 3
- Oncology 13
- Colorectal Cancer Surgical Treatments 3
- Co-authors
- Chih‐Yang Huang (30 shared papers)Yueh‐Min Lin (12 shared papers)Wei‐Wen Kuo (20 shared papers)Hsi‐Hsien Hsu (10 shared papers)Chuan‐Chou Tu (9 shared papers)Vijaya Padma Viswanadha (10 shared papers)Rathinasamy Baskaran (3 shared papers)Tsung‐Jung Ho (8 shared papers)
- Journals
- Environmental Toxicology (8 papers)Journal of Cellular Physiology (4 papers)Journal of Cellular Biochemistry (3 papers)Cancers (2 papers)Plant Science (2 papers)
- Partner nations
- TaiwanIndiaUnited States
In The Last Decade
Ming‐Cheng Chen
49 papers receiving 925 citations
Peers
Comparison fields: 5 of 105
- Toxicology 41
- Geriatrics and Gerontology 38
- Cancer Research 144
- Oncology 201
- Molecular Biology 480
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
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 177 | |
| 2 | 2017 | 145 | |
| 3 | 2018 | 55 | |
| 4 | 2016 | 47 | |
| 5 | 2018 | 42 | |
| 6 | 2019 | 31 | |
| 7 | 2018 | 30 | |
| 8 | 2019 | 29 | |
| 9 | 2022 | 27 | |
| 10 | 2005 | 27 | |
| 11 | 2020 | 25 | |
| 12 | 2016 | 22 | |
| 13 | 2020 | 22 | |
| 14 | 2019 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2021 | 16 | |
| 17 | 2023 | 15 | |
| 18 | 2023 | 14 | |
| 19 | 2018 | 14 | |
| 20 | 2022 | 12 |
About Ming‐Cheng Chen
Ming‐Cheng Chen is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Surgery, having authored 50 papers that have together received 936 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Cell death mechanisms and regulation (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), Colorectal Cancer Surgical Treatments (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Toxicology (41 citations), Geriatrics and Gerontology (38 citations), Cancer Research (144 citations), Oncology (201 citations) and Molecular Biology (480 citations). Ming‐Cheng Chen has collaborated with scholars based in Taiwan, India and United States. Frequent co-authors include Chih‐Yang Huang, Yueh‐Min Lin, Wei‐Wen Kuo, Hsi‐Hsien Hsu, Chuan‐Chou Tu, Vijaya Padma Viswanadha, Rathinasamy Baskaran, Tsung‐Jung Ho, Cecilia Hsuan Day and Yi‐Jiun Lin. Their work appears in journals such as Environmental Toxicology, Journal of Cellular Physiology, Journal of Cellular Biochemistry, Cancers and Plant Science.
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.