Kai Kai
Impact in
- Food Science top 2%
- Proteins in Food Systems
- Nutrition and Dietetics top 10%
- Food composition and properties
Papers in
- Food Science 10
- Sensory Analysis and Statistical Methods 4
- Essential Oils and Antimicrobial Activity 3
- Proteins in Food Systems 3
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- Plant-Microbe Interactions and Immunity 3
- Plant Disease Resistance and Genetics 2
- Co-authors
- Alissa A. Nolden (3 shared papers)Amanda J. Kinchla (3 shared papers)David Julian McClements (2 shared papers)Jiakai Lu (1 shared paper)Maija Greis (1 shared paper)Danfeng Zhang (7 shared papers)Wei Shi (5 shared papers)Yongsheng Liu (3 shared papers)
- Journals
- Scientia Horticulturae (3 papers)Foods (2 papers)Future Foods (1 paper)Applied Catalysis A General (1 paper)World Journal of Microbiology and Biotechnology (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Kai Kai
17 papers receiving 627 citations
Kai Kai's Hit Papers
Peers
Comparison fields: 5 of 76
- Food Science 347
- Nutrition and Dietetics 138
- Animal Science and Zoology 69
- Plant Science 247
- Biochemistry 32
Countries citing papers authored by Kai Kai
This map shows the geographic impact of Kai Kai'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 Kai Kai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Kai more than expected).
Fields of papers citing papers by Kai Kai
This network shows the impact of papers produced by Kai Kai. 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 Kai Kai. The network helps show where Kai Kai may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Kai, 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 | Functional Performance of Plant Proteins Hit paper breakdown → | 2022 | 283 |
| 2 | 2022 | 75 | |
| 3 | 2019 | 58 | |
| 4 | 2020 | 46 | |
| 5 | 2018 | 43 | |
| 6 | 2021 | 34 | |
| 7 | 2019 | 32 | |
| 8 | 2019 | 31 | |
| 9 | 2020 | 12 | |
| 10 | 2021 | 9 | |
| 11 | 2024 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2017 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2026 | 0 |
About Kai Kai
Kai Kai is a scholar working on Food Science, Plant Science, Nutrition and Dietetics, Biochemistry and Pharmacology, having authored 18 papers that have together received 642 indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (4 papers), Phytochemicals and Antioxidant Activities (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Biochemical Analysis and Sensing Techniques (3 papers), Food composition and properties (3 papers), Essential Oils and Antimicrobial Activity (3 papers), Proteins in Food Systems (3 papers) and Plant Disease Resistance and Genetics (2 papers). The work is most often cited by research in Food Science (347 citations), Nutrition and Dietetics (138 citations), Animal Science and Zoology (69 citations), Plant Science (247 citations) and Biochemistry (32 citations). Kai Kai has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Alissa A. Nolden, Amanda J. Kinchla, David Julian McClements, Jiakai Lu, Maija Greis, Danfeng Zhang, Wei Shi, Yongsheng Liu, Yingwang Ye and Lutz Großmann. Their work appears in journals such as Scientia Horticulturae, Foods, Future Foods, Applied Catalysis A General and World Journal of Microbiology and Biotechnology.
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.