Ming‐De Yan
Impact in
- Aquatic Science top 2%
- Seaweed-derived Bioactive Compounds
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Wnt/β-catenin signaling in development and cancer 5
- Epigenetics and DNA Methylation 4
- Cancer-related gene regulation 3
- Cell death mechanisms and regulation 2
- Genomics, phytochemicals, and oxidative stress 2
- Cancer therapeutics and mechanisms 2
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- Seaweed-derived Bioactive Compounds 5
- Co-authors
- Ya‐Wen Lin (13 shared papers)Yu‐Lueng Shih (9 shared papers)Gi‐Ming Lai (9 shared papers)Shuang‐En Chuang (8 shared papers)Hung‐Cheng Lai (4 shared papers)Pai‐An Hwang (4 shared papers)Chih‐Jung Yao (6 shared papers)Wen‐Chi Lin (3 shared papers)
In The Last Decade
Ming‐De Yan
28 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Aquatic Science 191
- Cancer Research 304
- Molecular Biology 724
- Complementary and Manual Therapy 15
- Toxicology 17
Countries citing papers authored by Ming‐De Yan
This map shows the geographic impact of Ming‐De Yan'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‐De Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐De Yan more than expected).
Fields of papers citing papers by Ming‐De Yan
This network shows the impact of papers produced by Ming‐De Yan. 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‐De Yan. The network helps show where Ming‐De Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐De Yan, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 129 | |
| 2 | 2013 | 105 | |
| 3 | 2015 | 98 | |
| 4 | 2012 | 82 | |
| 5 | 2005 | 78 | |
| 6 | 2007 | 76 | |
| 7 | 2016 | 58 | |
| 8 | 2016 | 56 | |
| 9 | 2013 | 54 | |
| 10 | 2008 | 53 | |
| 11 | 2013 | 49 | |
| 12 | 2013 | 49 | |
| 13 | 2008 | 39 | |
| 14 | 2016 | 39 | |
| 15 | 2012 | 32 | |
| 16 | 1999 | 31 | |
| 17 | 2013 | 30 | |
| 18 | 2019 | 26 | |
| 19 | 2013 | 26 | |
| 20 | 2015 | 24 |
About Ming‐De Yan
Ming‐De Yan is a scholar working on Molecular Biology, Aquatic Science, Cancer Research, Organic Chemistry and Rehabilitation, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (5 papers), Seaweed-derived Bioactive Compounds (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (3 papers), MicroRNA in disease regulation (3 papers), Cell death mechanisms and regulation (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Aquatic Science (191 citations), Cancer Research (304 citations), Molecular Biology (724 citations), Complementary and Manual Therapy (15 citations) and Toxicology (17 citations). Ming‐De Yan has collaborated with scholars based in Taiwan, Vietnam and Japan. Frequent co-authors include Ya‐Wen Lin, Yu‐Lueng Shih, Gi‐Ming Lai, Shuang‐En Chuang, Hung‐Cheng Lai, Pai‐An Hwang, Chih‐Jung Yao, Wen‐Chi Lin, Ann‐Lii Cheng and Cheng‐Chang Chang. Their work appears in journals such as Gynecologic Oncology, International Journal of Cancer, Marine Drugs, Clinical Epigenetics and Hepatology.
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.