Ming‐Yao Chen
Impact in
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- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
Papers in
- Epidemiology 12
- Liver Disease Diagnosis and Treatment 7
- Hepatitis B Virus Studies 3
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- PI3K/AKT/mTOR signaling in cancer 4
- Co-authors
- Chi‐Tai Yeh (11 shared papers)Chi‐Tang Ho (4 shared papers)Chih‐Hsiung Wu (4 shared papers)Li-Ching Chen (4 shared papers)Shih‐Hsin Tu (4 shared papers)Wei‐Hwa Lee (3 shared papers)Hwai‐Jeng Lin (4 shared papers)Jing Fu (1 shared paper)
- Journals
- Cancers (5 papers)Journal of Gastroenterology and Hepatology (2 papers)International Journal of Molecular Sciences (2 papers)Journal of Agricultural and Food Chemistry (2 papers)Quality of Life Research (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Ming‐Yao Chen
41 papers receiving 446 citations
Peers
Comparison fields: 5 of 96
- Cancer Research 126
- Biochemistry 23
- Hepatology 30
- Oncology 89
- Anesthesiology and Pain Medicine 18
Countries citing papers authored by Ming‐Yao Chen
This map shows the geographic impact of Ming‐Yao 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‐Yao 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‐Yao Chen more than expected).
Fields of papers citing papers by Ming‐Yao Chen
This network shows the impact of papers produced by Ming‐Yao 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‐Yao Chen. The network helps show where Ming‐Yao Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Yao 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 72 | |
| 2 | 2018 | 53 | |
| 3 | 2021 | 37 | |
| 4 | 2019 | 37 | |
| 5 | 2021 | 37 | |
| 6 | 2015 | 37 | |
| 7 | 2019 | 18 | |
| 8 | 2014 | 13 | |
| 9 | 2022 | 12 | |
| 10 | 2018 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2016 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2013 | 8 | |
| 16 | 2018 | 8 | |
| 17 | 2025 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2013 | 6 | |
| 20 | 2024 | 5 |
About Ming‐Yao Chen
Ming‐Yao Chen is a scholar working on Epidemiology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 45 papers that have together received 449 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Gastric Cancer Management and Outcomes (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Hepatitis C virus research (4 papers), Hepatitis B Virus Studies (3 papers), Esophageal and GI Pathology (3 papers), Metastasis and carcinoma case studies (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Cancer Research (126 citations), Biochemistry (23 citations), Hepatology (30 citations), Oncology (89 citations) and Anesthesiology and Pain Medicine (18 citations). Ming‐Yao Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chi‐Tai Yeh, Chi‐Tang Ho, Chih‐Hsiung Wu, Li-Ching Chen, Shih‐Hsin Tu, Wei‐Hwa Lee, Hwai‐Jeng Lin, Jing Fu, Qian Li and Chang Cao. Their work appears in journals such as Cancers, Journal of Gastroenterology and Hepatology, International Journal of Molecular Sciences, Journal of Agricultural and Food Chemistry and Quality of Life Research.
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.