Leiyan Wu
Impact in
- Food Science top 0.5%
- Proteins in Food Systems
- Polysaccharides Composition and Applications
- Food Chemistry and Fat Analysis
- Microencapsulation and Drying Processes
- Nutrition and Dietetics top 5%
- Food composition and properties
Papers in
- Food Science 22
- Proteins in Food Systems 17
- Polysaccharides Composition and Applications 4
- Food Chemistry and Fat Analysis 3
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- Protein Hydrolysis and Bioactive Peptides 6
- Co-authors
- Shou‐Wei Yin (6 shared papers)Chuan‐He Tang (4 shared papers)Xiao‐Quan Yang (4 shared papers)Jian Guo (2 shared papers)Jun‐Ru Qi (2 shared papers)Jianhui Xiao (5 shared papers)Liya Niu (4 shared papers)Xiaoquan Yang (3 shared papers)
In The Last Decade
Leiyan Wu
30 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 81
- Food Science 1.0k
- Nutrition and Dietetics 255
- Biomaterials 201
- Materials Chemistry 664
- Biochemistry 84
Countries citing papers authored by Leiyan Wu
This map shows the geographic impact of Leiyan Wu'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 Leiyan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leiyan Wu more than expected).
Fields of papers citing papers by Leiyan Wu
This network shows the impact of papers produced by Leiyan Wu. 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 Leiyan Wu. The network helps show where Leiyan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Leiyan Wu, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 277 | |
| 2 | 2016 | 271 | |
| 3 | 2016 | 201 | |
| 4 | 2017 | 109 | |
| 5 | 2015 | 103 | |
| 6 | 2017 | 76 | |
| 7 | 2013 | 42 | |
| 8 | 2013 | 40 | |
| 9 | 2022 | 30 | |
| 10 | 2018 | 26 | |
| 11 | 2011 | 25 | |
| 12 | 2021 | 19 | |
| 13 | 2023 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2009 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2023 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2021 | 11 |
About Leiyan Wu
Leiyan Wu is a scholar working on Food Science, Molecular Biology, Materials Chemistry, Nutrition and Dietetics and Plant Science, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Proteins in Food Systems (17 papers), Pickering emulsions and particle stabilization (9 papers), Food composition and properties (7 papers), Protein Hydrolysis and Bioactive Peptides (6 papers), Polysaccharides Composition and Applications (4 papers), Nanocomposite Films for Food Packaging (3 papers), Tea Polyphenols and Effects (3 papers) and Food Chemistry and Fat Analysis (3 papers). The work is most often cited by research in Food Science (1.0k citations), Nutrition and Dietetics (255 citations), Biomaterials (201 citations), Materials Chemistry (664 citations) and Biochemistry (84 citations). Leiyan Wu has collaborated with scholars based in China, Canada and Pakistan. Frequent co-authors include Shou‐Wei Yin, Chuan‐He Tang, Xiao‐Quan Yang, Jian Guo, Jun‐Ru Qi, Jianhui Xiao, Liya Niu, Xiaoquan Yang, Tao Zeng and Ziling Wu. Their work appears in journals such as Food Chemistry, Food Hydrocolloids, International Journal of Food Science & Technology, Food Chemistry X and Foods.
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.