Teng Wei
Impact in
- Nutrition and Dietetics top 10%
- Fatty Acid Research and Health
- Infant Nutrition and Health
- Food composition and properties
- Food Science top 10%
- Proteins in Food Systems
- Food Chemistry and Fat Analysis
- Probiotics and Fermented Foods
Papers in
-
- Fatty Acid Research and Health 13
- Infant Nutrition and Health 6
-
- Metabolomics and Mass Spectrometry Studies 3
- Co-authors
- Zeyuan Deng (27 shared papers)Jing Li (20 shared papers)Ting Luo (6 shared papers)Min Wu (2 shared papers)Fang Chen (2 shared papers)Xiaoru Liu (3 shared papers)Yanping Wu (3 shared papers)Liufeng Zheng (2 shared papers)
- Journals
- Food Chemistry (5 papers)Food & Function (5 papers)Journal of Agricultural and Food Chemistry (4 papers)Journal of the Science of Food and Agriculture (3 papers)Food Research International (2 papers)
- Partner nations
- ChinaUnited StatesMongolia
In The Last Decade
Teng Wei
31 papers receiving 346 citations
Peers
Comparison fields: 5 of 78
- Nutrition and Dietetics 141
- Food Science 117
- Biochemistry 26
- Animal Science and Zoology 33
- Biochemistry 20
Countries citing papers authored by Teng Wei
This map shows the geographic impact of Teng Wei'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 Teng Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teng Wei more than expected).
Fields of papers citing papers by Teng Wei
This network shows the impact of papers produced by Teng Wei. 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 Teng Wei. The network helps show where Teng Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Teng Wei, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 35 | |
| 2 | 2023 | 34 | |
| 3 | 2021 | 33 | |
| 4 | 2020 | 28 | |
| 5 | 2023 | 25 | |
| 6 | 2022 | 21 | |
| 7 | 2020 | 16 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 16 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2023 | 9 | |
| 14 | 2024 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2021 | 4 |
About Teng Wei
Teng Wei is a scholar working on Nutrition and Dietetics, Molecular Biology, Food Science, Biochemistry and Epidemiology, having authored 34 papers that have together received 351 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (13 papers), Lipid metabolism and biosynthesis (6 papers), Infant Nutrition and Health (6 papers), Proteins in Food Systems (5 papers), Diet, Metabolism, and Disease (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Adipose Tissue and Metabolism (3 papers) and Cholesterol and Lipid Metabolism (3 papers). The work is most often cited by research in Nutrition and Dietetics (141 citations), Food Science (117 citations), Biochemistry (26 citations), Animal Science and Zoology (33 citations) and Biochemistry (20 citations). Teng Wei has collaborated with scholars based in China, United States and Mongolia. Frequent co-authors include Zeyuan Deng, Jing Li, Ting Luo, Min Wu, Fang Chen, Xiaoru Liu, Yanping Wu, Liufeng Zheng, Qiang Wen and Niu Zhang. Their work appears in journals such as Food Chemistry, Food & Function, Journal of Agricultural and Food Chemistry, Journal of the Science of Food and Agriculture and Food Research International.
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.