Jingna Yan
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
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- Tea Polyphenols and Effects
Papers in
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- Tea Polyphenols and Effects 14
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- Food Quality and Safety Studies 6
- Fermentation and Sensory Analysis 5
- Co-authors
- Huarong Tong (8 shared papers)Qing Meng (6 shared papers)Liyong Luo (2 shared papers)Liang Zeng (2 shared papers)Bei Wang (2 shared papers)Longyun Zhang (1 shared paper)Jilai Cui (2 shared papers)Yulong Ye (2 shared papers)
- Journals
- Food Research International (2 papers)Journal of Food Composition and Analysis (2 papers)Scientific Reports (1 paper)Journal of Texture Studies (1 paper)Fermentation (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Jingna Yan
14 papers receiving 460 citations
Peers
Comparison fields: 5 of 72
- Biochemistry 172
- Pathology and Forensic Medicine 309
- Food Science 233
- Applied Microbiology and Biotechnology 19
- Biological Psychiatry 14
Countries citing papers authored by Jingna Yan
This map shows the geographic impact of Jingna 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 Jingna Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingna Yan more than expected).
Fields of papers citing papers by Jingna Yan
This network shows the impact of papers produced by Jingna 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 Jingna Yan. The network helps show where Jingna Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingna 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 102 | |
| 2 | 2017 | 94 | |
| 3 | 2017 | 68 | |
| 4 | 2022 | 47 | |
| 5 | 2015 | 31 | |
| 6 | 2022 | 30 | |
| 7 | 2019 | 22 | |
| 8 | 2022 | 21 | |
| 9 | 2020 | 21 | |
| 10 | 2021 | 10 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 0 |
About Jingna Yan
Jingna Yan is a scholar working on Pathology and Forensic Medicine, Food Science, Biochemistry, Biomedical Engineering and Nutrition and Dietetics, having authored 15 papers that have together received 463 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (14 papers), Food Quality and Safety Studies (6 papers), Phytochemicals and Antioxidant Activities (6 papers), Fermentation and Sensory Analysis (5 papers), Advanced Chemical Sensor Technologies (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Ginkgo biloba and Cashew Applications (1 paper) and Isotope Analysis in Ecology (1 paper). The work is most often cited by research in Biochemistry (172 citations), Pathology and Forensic Medicine (309 citations), Food Science (233 citations), Applied Microbiology and Biotechnology (19 citations) and Biological Psychiatry (14 citations). Jingna Yan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Huarong Tong, Qing Meng, Liyong Luo, Liang Zeng, Bei Wang, Longyun Zhang, Jilai Cui, Yulong Ye, Meifeng Li and Mengjun Ma. Their work appears in journals such as Food Research International, Journal of Food Composition and Analysis, Scientific Reports, Journal of Texture Studies and Fermentation.
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.