Ming Chen
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer
- RNA modifications and cancer
Papers in
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- PI3K/AKT/mTOR signaling in cancer 10
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- Prostate Cancer Treatment and Research 10
- Co-authors
- Pier Paolo Pandolfi (13 shared papers)Yu-Ru Lee (1 shared paper)Jiaoti Huang (3 shared papers)Shuyuan Yeh (11 shared papers)François Berthiaume (1 shared paper)Jing Ni (2 shared papers)Christopher Ng (5 shared papers)John G. Clohessy (4 shared papers)
- Journals
- Cancer Discovery (3 papers)PLoS ONE (3 papers)Nature Communications (2 papers)Clinical Cancer Research (2 papers)Ocean Engineering (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ming Chen
96 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Cancer Research 617
- Molecular Biology 1.4k
- Oncology 528
- Biochemistry 101
- Immunology 348
Countries citing papers authored by Ming Chen
This map shows the geographic impact of Ming 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 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 Chen more than expected).
Fields of papers citing papers by Ming Chen
This network shows the impact of papers produced by Ming 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 Chen. The network helps show where Ming Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The functions and regulation of the PTEN tumour suppressor: new modes and prospects Hit paper breakdown → | 2018 | 645 |
| 2 | 2009 | 140 | |
| 3 | 2018 | 134 | |
| 4 | 2019 | 115 | |
| 5 | 2003 | 99 | |
| 6 | 2014 | 80 | |
| 7 | 2005 | 80 | |
| 8 | 2015 | 72 | |
| 9 | 2015 | 66 | |
| 10 | 2008 | 59 | |
| 11 | 2009 | 55 | |
| 12 | 2018 | 52 | |
| 13 | 2007 | 51 | |
| 14 | 2019 | 47 | |
| 15 | 2008 | 42 | |
| 16 | 2019 | 40 | |
| 17 | 2018 | 37 | |
| 18 | 2016 | 37 | |
| 19 | 2013 | 36 | |
| 20 | 2016 | 34 |
About Ming Chen
Ming Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Immunology and Cancer Research, having authored 106 papers that have together received 2.7k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (10 papers), Prostate Cancer Treatment and Research (10 papers), Estrogen and related hormone effects (8 papers), Cancer, Lipids, and Metabolism (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Advanced MIMO Systems Optimization (5 papers), Immunotherapy and Immune Responses (5 papers) and Cooperative Communication and Network Coding (4 papers). The work is most often cited by research in Cancer Research (617 citations), Molecular Biology (1.4k citations), Oncology (528 citations), Biochemistry (101 citations) and Immunology (348 citations). Ming Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Pier Paolo Pandolfi, Yu-Ru Lee, Jiaoti Huang, Shuyuan Yeh, François Berthiaume, Jing Ni, Christopher Ng, John G. Clohessy, Hong‐Chiang Chang and Andrea Lunardi. Their work appears in journals such as Cancer Discovery, PLoS ONE, Nature Communications, Clinical Cancer Research and Ocean Engineering.
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.