Jia-Ching Wu
Impact in
- Biochemistry top 2%
- Phytochemicals and Antioxidant Activities
- Molecular Medicine top 2%
- Curcumin's Biomedical Applications
Papers in
-
- Phytochemicals and Antioxidant Activities 8
-
- Curcumin's Biomedical Applications 6
- Co-authors
- Min‐Hsiung Pan (28 shared papers)Chi‐Tang Ho (25 shared papers)Ching‐Shu Lai (17 shared papers)Vladimir Badmaev (6 shared papers)Ying‐Jan Wang (6 shared papers)Monthana Weerawatanakorn (1 shared paper)Kalyanam Nagabhushanam (4 shared papers)Shiming Li (5 shared papers)
- Journals
- Molecular Nutrition & Food Research (10 papers)BioFactors (2 papers)Journal of Agricultural and Food Chemistry (2 papers)Journal of Food and Drug Analysis (2 papers)Food & Function (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Jia-Ching Wu
33 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Biochemistry 301
- Molecular Medicine 184
- Geriatrics and Gerontology 77
- Nutrition and Dietetics 163
- Pharmacology 91
Countries citing papers authored by Jia-Ching Wu
This map shows the geographic impact of Jia-Ching Wu'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 Jia-Ching Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia-Ching Wu more than expected).
Fields of papers citing papers by Jia-Ching Wu
This network shows the impact of papers produced by Jia-Ching Wu. 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 Jia-Ching Wu. The network helps show where Jia-Ching Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia-Ching Wu, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 163 | |
| 2 | 2010 | 152 | |
| 3 | 2013 | 106 | |
| 4 | 2011 | 101 | |
| 5 | 2011 | 88 | |
| 6 | 2018 | 88 | |
| 7 | 2013 | 83 | |
| 8 | 2013 | 73 | |
| 9 | 2018 | 68 | |
| 10 | 2011 | 64 | |
| 11 | 2019 | 62 | |
| 12 | 2015 | 53 | |
| 13 | 2016 | 52 | |
| 14 | 2016 | 50 | |
| 15 | 2015 | 47 | |
| 16 | 2017 | 44 | |
| 17 | 2018 | 41 | |
| 18 | 2014 | 35 | |
| 19 | 2017 | 28 | |
| 20 | 2019 | 26 |
About Jia-Ching Wu
Jia-Ching Wu is a scholar working on Biochemistry, Molecular Medicine, Applied Microbiology and Biotechnology, Geriatrics and Gerontology and Pharmacology, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (8 papers), Curcumin's Biomedical Applications (6 papers), Bioactive Compounds in Plants (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Tannin, Tannase and Anticancer Activities (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Flavonoids in Medical Research (3 papers) and Natural Antidiabetic Agents Studies (3 papers). The work is most often cited by research in Biochemistry (301 citations), Molecular Medicine (184 citations), Geriatrics and Gerontology (77 citations), Nutrition and Dietetics (163 citations) and Pharmacology (91 citations). Jia-Ching Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Min‐Hsiung Pan, Chi‐Tang Ho, Ching‐Shu Lai, Vladimir Badmaev, Ying‐Jan Wang, Monthana Weerawatanakorn, Kalyanam Nagabhushanam, Shiming Li, Mei-Ling Tsai and Mei‐Ling Tsai. Their work appears in journals such as Molecular Nutrition & Food Research, BioFactors, Journal of Agricultural and Food Chemistry, Journal of Food and Drug Analysis and Food & Function.
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.