Ming‐Jen Chen
Impact in
-
- Carbon dioxide utilization in catalysis
- Organic Chemistry top 10%
- Quinazolinone synthesis and applications
- Synthesis and Biological Evaluation
Papers in
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- Cancer Research and Treatments 6
- Genetics 15
- Virus-based gene therapy research 9
- Inflammatory Bowel Disease 3
- Co-authors
- Yeun‐Min TsaiShih‐Ping ChengChien‐Liang LiuYuan‐Ching ChangRachel KerrChi‐Hsin LinPeter F. SearleChing‐Han Yu
- Journals
- Human Gene Therapy (2 papers)Journal of Surgical Oncology (2 papers)Journal of Cellular Biochemistry (1 paper)Tetrahedron (1 paper)Analytica Chimica Acta (1 paper)
- Partner nations
- TaiwanUnited KingdomUnited States
In The Last Decade
Ming‐Jen Chen
36 papers receiving 873 citations
Peers
Comparison fields: 5 of 102
- Process Chemistry and Technology 67
- Organic Chemistry 227
- Biotechnology 52
- Anesthesiology and Pain Medicine 33
- Cancer Research 83
Countries citing papers authored by Ming‐Jen Chen
This map shows the geographic impact of Ming‐Jen 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‐Jen 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‐Jen Chen more than expected).
Fields of papers citing papers by Ming‐Jen Chen
This network shows the impact of papers produced by Ming‐Jen 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‐Jen Chen. The network helps show where Ming‐Jen Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming‐Jen 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 | 2024 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 26 | |
| 7 | 2020 | 3 | |
| 8 | 2020 | 9 | |
| 9 | 2019 | 36 | |
| 10 | 2017 | 16 | |
| 11 | 2016 | 25 | |
| 12 | 2016 | 53 | |
| 13 | 2016 | 30 | |
| 14 | 2014 | 23 | |
| 15 | 2014 | 39 | |
| 16 | 2013 | 56 | |
| 17 | 2007 | 78 | |
| 18 | 2005 | 1 | |
| 19 | 2004 | 107 | |
| 20 | 2002 | 19 |
About Ming‐Jen Chen
Ming‐Jen Chen is a scholar working on Biotechnology, Genetics, Process Chemistry and Technology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 37 papers that have together received 879 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Cancer Research and Treatments (6 papers), CAR-T cell therapy research (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Inflammatory Bowel Disease (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Erythrocyte Function and Pathophysiology (2 papers) and Microscopic Colitis (2 papers). The work is most often cited by research in Process Chemistry and Technology (67 citations), Organic Chemistry (227 citations), Biotechnology (52 citations), Anesthesiology and Pain Medicine (33 citations) and Cancer Research (83 citations). Ming‐Jen Chen has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Yeun‐Min Tsai, Shih‐Ping Cheng, Chien‐Liang Liu, Yuan‐Ching Chang, Rachel Kerr, Chi‐Hsin Lin, Peter F. Searle, Ching‐Han Yu, Jong‐Ming Hsu and Hsiao‐Fung Pu. Their work appears in journals such as Human Gene Therapy, Journal of Surgical Oncology, Journal of Cellular Biochemistry, Tetrahedron and Analytica Chimica Acta.
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.