Jia‐Ping Ke
Impact in
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- Tea Polyphenols and Effects
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
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- Tea Polyphenols and Effects 33
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
- Co-authors
- Guan‐Hu Bao (17 shared papers)Zi Ming Yang (9 shared papers)Liang Zhang (17 shared papers)Chen‐Hui Chen (9 shared papers)Zisheng Han (14 shared papers)Xiaochun Wan (8 shared papers)Piaopiao Long (8 shared papers)Mengting Zhu (8 shared papers)
- Journals
- Journal of Agricultural and Food Chemistry (12 papers)Food Chemistry (8 papers)Food Research International (4 papers)Food Chemistry X (2 papers)Food Bioscience (2 papers)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Jia‐Ping Ke
35 papers receiving 566 citations
Peers
Comparison fields: 5 of 55
- Pathology and Forensic Medicine 335
- Aging 24
- Food Science 57
- Biochemistry 17
- Analytical Chemistry 23
Countries citing papers authored by Jia‐Ping Ke
This map shows the geographic impact of Jia‐Ping Ke'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‐Ping Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia‐Ping Ke more than expected).
Fields of papers citing papers by Jia‐Ping Ke
This network shows the impact of papers produced by Jia‐Ping Ke. 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‐Ping Ke. The network helps show where Jia‐Ping Ke may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia‐Ping Ke, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 58 | |
| 2 | 2021 | 41 | |
| 3 | 2020 | 38 | |
| 4 | 2020 | 34 | |
| 5 | 2020 | 30 | |
| 6 | 2024 | 29 | |
| 7 | 2021 | 28 | |
| 8 | 2019 | 27 | |
| 9 | 2019 | 23 | |
| 10 | 2023 | 23 | |
| 11 | 2022 | 22 | |
| 12 | 2021 | 18 | |
| 13 | 2024 | 18 | |
| 14 | 2023 | 17 | |
| 15 | 2024 | 16 | |
| 16 | 2024 | 16 | |
| 17 | 2024 | 14 | |
| 18 | 2021 | 12 | |
| 19 | 2024 | 12 | |
| 20 | 2023 | 11 |
About Jia‐Ping Ke
Jia‐Ping Ke is a scholar working on Pathology and Forensic Medicine, Aging, Biochemistry, Plant Science and Molecular Biology, having authored 37 papers that have together received 572 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (33 papers), Phytochemistry and Biological Activities (4 papers), Bioactive natural compounds (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Plant Gene Expression Analysis (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Edible Oils Quality and Analysis (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (335 citations), Aging (24 citations), Food Science (57 citations), Biochemistry (17 citations) and Analytical Chemistry (23 citations). Jia‐Ping Ke has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Guan‐Hu Bao, Zi Ming Yang, Liang Zhang, Chen‐Hui Chen, Zisheng Han, Xiaochun Wan, Piaopiao Long, Mengting Zhu, Wei Wang and Rashmi Gaur. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry, Food Research International, Food Chemistry X and Food Bioscience.
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.