Ming-Teh Chen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Circular RNAs in diseases 3
- RNA Research and Splicing 3
- Chromatin Remodeling and Cancer 3
- Pluripotent Stem Cells Research 2
- RNA Interference and Gene Delivery 2
-
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 3
- Co-authors
- Pin‐I Huang (11 shared papers)Yi‐Wei Chen (10 shared papers)Yi-Ping Yang (10 shared papers)Mong‐Lien Wang (9 shared papers)Yang‐Hsin Shih (7 shared papers)Shih‐Hwa Chiou (6 shared papers)Yueh Chien (4 shared papers)Guang‐Yuh Chiou (2 shared papers)
- Journals
- Oncotarget (3 papers)Cell Transplantation (2 papers)Cancers (2 papers)International Journal of Molecular Sciences (2 papers)Theranostics (1 paper)
- Partner nations
- TaiwanUnited StatesHong Kong
In The Last Decade
Ming-Teh Chen
21 papers receiving 717 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 264
- Genetics 115
- Molecular Biology 443
- Oncology 124
- Neurology 24
Countries citing papers authored by Ming-Teh Chen
This map shows the geographic impact of Ming-Teh 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-Teh 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-Teh Chen more than expected).
Fields of papers citing papers by Ming-Teh Chen
This network shows the impact of papers produced by Ming-Teh 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-Teh Chen. The network helps show where Ming-Teh Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-Teh 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 207 | |
| 2 | 2020 | 57 | |
| 3 | 2015 | 54 | |
| 4 | 2016 | 49 | |
| 5 | 2015 | 41 | |
| 6 | 2017 | 37 | |
| 7 | 2011 | 33 | |
| 8 | 2014 | 32 | |
| 9 | 2018 | 30 | |
| 10 | 2014 | 28 | |
| 11 | 2019 | 24 | |
| 12 | 2018 | 22 | |
| 13 | 2011 | 20 | |
| 14 | 2011 | 18 | |
| 15 | 2014 | 15 | |
| 16 | 2019 | 13 | |
| 17 | 2009 | 12 | |
| 18 | 2013 | 11 | |
| 19 | 2021 | 8 | |
| 20 | 2014 | 8 |
About Ming-Teh Chen
Ming-Teh Chen is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Genetics and Pathology and Forensic Medicine, having authored 21 papers that have together received 727 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (3 papers), RNA Research and Splicing (3 papers), Chromatin Remodeling and Cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Pluripotent Stem Cells Research (2 papers), RNA Interference and Gene Delivery (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (264 citations), Genetics (115 citations), Molecular Biology (443 citations), Oncology (124 citations) and Neurology (24 citations). Ming-Teh Chen has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Pin‐I Huang, Yi‐Wei Chen, Yi-Ping Yang, Mong‐Lien Wang, Yang‐Hsin Shih, Shih‐Hwa Chiou, Yueh Chien, Guang‐Yuh Chiou, Hsin-I Ma and Yuh-Lih Chang. Their work appears in journals such as Oncotarget, Cell Transplantation, Cancers, International Journal of Molecular Sciences and Theranostics.
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.