Li-Mien Chen
Impact in
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
-
- Nigella sativa pharmacological applications
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- Signaling Pathways in Disease 3
- Cell death mechanisms and regulation 2
- Genetics 5
- Estrogen and related hormone effects 4
- Co-authors
- Chih‐Yang Huang (21 shared papers)Wei‐Wen Kuo (11 shared papers)Fuu‐Jen Tsai (11 shared papers)Chang‐Hai Tsai (9 shared papers)Yueh-Min Lin (8 shared papers)Hsi-Hsien Hsu (9 shared papers)Chung‐Jung Liu (7 shared papers)James A. Lin (7 shared papers)
In The Last Decade
Li-Mien Chen
22 papers receiving 696 citations
Peers
Comparison fields: 5 of 77
- Toxicology 49
- Complementary and alternative medicine 100
- Cancer Research 95
- Pharmacology 52
- Biochemistry 28
Countries citing papers authored by Li-Mien Chen
This map shows the geographic impact of Li-Mien 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 Li-Mien Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Mien Chen more than expected).
Fields of papers citing papers by Li-Mien Chen
This network shows the impact of papers produced by Li-Mien 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 Li-Mien Chen. The network helps show where Li-Mien Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Li-Mien 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 84 | |
| 2 | 2015 | 71 | |
| 3 | 2013 | 57 | |
| 4 | 2008 | 53 | |
| 5 | 2005 | 48 | |
| 6 | 2012 | 44 | |
| 7 | 2009 | 40 | |
| 8 | 2012 | 34 | |
| 9 | 2009 | 31 | |
| 10 | 2005 | 29 | |
| 11 | 2011 | 28 | |
| 12 | 2010 | 25 | |
| 13 | 2013 | 23 | |
| 14 | 2006 | 23 | |
| 15 | 2006 | 18 | |
| 16 | 2006 | 17 | |
| 17 | 2006 | 16 | |
| 18 | Short-term versus long-term intermittent hypobaric hypoxia on cardiac fibrosis and Fas death receptor dependent apoptotic pathway in rat hearts. | 2008 | 16 |
| 19 | 2009 | 15 | |
| 20 | 2006 | 12 |
About Li-Mien Chen
Li-Mien Chen is a scholar working on Molecular Biology, Genetics, Cancer Research, Pharmacology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 701 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Signaling Pathways in Disease (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Inflammatory mediators and NSAID effects (2 papers), Cell death mechanisms and regulation (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Natural Compounds in Disease Treatment (2 papers). The work is most often cited by research in Toxicology (49 citations), Complementary and alternative medicine (100 citations), Cancer Research (95 citations), Pharmacology (52 citations) and Biochemistry (28 citations). Li-Mien Chen has collaborated with scholars based in Taiwan, Vietnam and Egypt. Frequent co-authors include Chih‐Yang Huang, Wei‐Wen Kuo, Fuu‐Jen Tsai, Chang‐Hai Tsai, Yueh-Min Lin, Hsi-Hsien Hsu, Chung‐Jung Liu, James A. Lin, Chun‐Hsien Chu and Bor‐Show Tzang. Their work appears in journals such as Molecular and Cellular Biochemistry, The American Journal of Chinese Medicine, Food Chemistry, Clinica Chimica Acta and Journal of Molecular Endocrinology.
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.