Cong Teng
Impact in
- Food Science top 2%
- Seed and Plant Biochemistry
- Proteins in Food Systems
- Polysaccharides Composition and Applications
- Nutrition and Dietetics top 5%
- Food composition and properties
- Microbial Metabolites in Food Biotechnology
Papers in
- Food Science 14
- Seed and Plant Biochemistry 5
- Polysaccharides Composition and Applications 3
- Proteins in Food Systems 3
-
- Food composition and properties 7
- Microbial Metabolites in Food Biotechnology 6
- Co-authors
- Guixing Ren (14 shared papers)Yang Yao (6 shared papers)Zhenxing Shi (5 shared papers)Peiyou Qin (6 shared papers)Xin Fan (6 shared papers)Xiushi Yang (4 shared papers)Lizhen Zhang (4 shared papers)Bao Xing (3 shared papers)
In The Last Decade
Cong Teng
24 papers receiving 644 citations
Peers
Comparison fields: 5 of 81
- Food Science 368
- Nutrition and Dietetics 265
- Biochemistry 28
- Aquatic Science 30
- Plant Science 153
Countries citing papers authored by Cong Teng
This map shows the geographic impact of Cong Teng'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 Cong Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Teng more than expected).
Fields of papers citing papers by Cong Teng
This network shows the impact of papers produced by Cong Teng. 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 Cong Teng. The network helps show where Cong Teng may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Teng, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 99 | |
| 2 | 2022 | 86 | |
| 3 | 2021 | 69 | |
| 4 | 2019 | 53 | |
| 5 | 2020 | 50 | |
| 6 | 2022 | 43 | |
| 7 | 2018 | 39 | |
| 8 | 2021 | 33 | |
| 9 | 2022 | 32 | |
| 10 | 2022 | 27 | |
| 11 | 2020 | 26 | |
| 12 | 2024 | 19 | |
| 13 | 2021 | 19 | |
| 14 | 2025 | 13 | |
| 15 | 2024 | 10 | |
| 16 | 2018 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2020 | 4 |
About Cong Teng
Cong Teng is a scholar working on Food Science, Nutrition and Dietetics, Molecular Biology, Plant Science and Public Health, Environmental and Occupational Health, having authored 25 papers that have together received 651 indexed citations. Recurring topics across this work include Food composition and properties (7 papers), Microbial Metabolites in Food Biotechnology (6 papers), Seed and Plant Biochemistry (5 papers), Gut microbiota and health (4 papers), Polysaccharides Composition and Applications (3 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Proteins in Food Systems (3 papers) and Curcumin's Biomedical Applications (3 papers). The work is most often cited by research in Food Science (368 citations), Nutrition and Dietetics (265 citations), Biochemistry (28 citations), Aquatic Science (30 citations) and Plant Science (153 citations). Cong Teng has collaborated with scholars based in China, Belgium and Japan. Frequent co-authors include Guixing Ren, Yang Yao, Zhenxing Shi, Peiyou Qin, Xin Fan, Xiushi Yang, Lizhen Zhang, Bao Xing, Weiyi Zhang and Guixing Ren. Their work appears in journals such as Food Chemistry, Foods, Food Bioscience, Food Hydrocolloids and Food and Agricultural Immunology.
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.