Mei-Ling Tsai
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
Papers in
-
- Genomics, phytochemicals, and oxidative stress 3
-
- Liver Disease Diagnosis and Treatment 6
- Co-authors
- Chi‐Tang Ho (18 shared papers)Min‐Hsiung Pan (17 shared papers)Ching‐Shu Lai (9 shared papers)Vladimir Badmaev (6 shared papers)Ying‐Jan Wang (4 shared papers)Jia-Ching Wu (3 shared papers)Chih‐Hsiung Wu (1 shared paper)Kalyanam Nagabhushanam (1 shared paper)
- Journals
- Food & Function (6 papers)Journal of Agricultural and Food Chemistry (5 papers)Journal of Functional Foods (3 papers)Analytical Chemistry (2 papers)Nanotoxicology (1 paper)
- Partner nations
- TaiwanUnited StatesThailand
In The Last Decade
Mei-Ling Tsai
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 110
- Geriatrics and Gerontology 131
- Molecular Medicine 72
- Biochemistry 71
- Pharmacology 81
- Toxicology 28
Countries citing papers authored by Mei-Ling Tsai
This map shows the geographic impact of Mei-Ling Tsai'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 Mei-Ling Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei-Ling Tsai more than expected).
Fields of papers citing papers by Mei-Ling Tsai
This network shows the impact of papers produced by Mei-Ling Tsai. 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 Mei-Ling Tsai. The network helps show where Mei-Ling Tsai may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei-Ling Tsai, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 176 | |
| 2 | 2011 | 94 | |
| 3 | 2012 | 90 | |
| 4 | 2013 | 79 | |
| 5 | 2010 | 59 | |
| 6 | 2016 | 47 | |
| 7 | 2012 | 47 | |
| 8 | 2015 | 46 | |
| 9 | 2012 | 45 | |
| 10 | 2012 | 43 | |
| 11 | 2009 | 38 | |
| 12 | 2011 | 37 | |
| 13 | 1996 | 34 | |
| 14 | 2015 | 29 | |
| 15 | 2010 | 29 | |
| 16 | 2011 | 23 | |
| 17 | 2006 | 20 | |
| 18 | 2020 | 19 | |
| 19 | 2005 | 18 | |
| 20 | 1998 | 17 |
About Mei-Ling Tsai
Mei-Ling Tsai is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Molecular Medicine and Hepatology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), NF-κB Signaling Pathways (6 papers), Liver physiology and pathology (5 papers), Curcumin's Biomedical Applications (5 papers), Bioactive Compounds and Antitumor Agents (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Neonatal Respiratory Health Research (3 papers) and Selenium in Biological Systems (2 papers). The work is most often cited by research in Geriatrics and Gerontology (131 citations), Molecular Medicine (72 citations), Biochemistry (71 citations), Pharmacology (81 citations) and Toxicology (28 citations). Mei-Ling Tsai has collaborated with scholars based in Taiwan, United States and Thailand. Frequent co-authors include Chi‐Tang Ho, Min‐Hsiung Pan, Ching‐Shu Lai, Vladimir Badmaev, Ying‐Jan Wang, Jia-Ching Wu, Chih‐Hsiung Wu, Kalyanam Nagabhushanam, Yi‐Shiou Chiou and R. Clinton Webb. Their work appears in journals such as Food & Function, Journal of Agricultural and Food Chemistry, Journal of Functional Foods, Analytical Chemistry and Nanotoxicology.
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.