Yin Wan
Impact in
- Food Science top 1%
- Proteins in Food Systems
- Fermentation and Sensory Analysis
- Probiotics and Fermented Foods
- Biotechnology top 2%
Papers in
- Food Science 34
- Fermentation and Sensory Analysis 17
- Proteins in Food Systems 7
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- Natural product bioactivities and synthesis 5
- Co-authors
- Guiming Fu (49 shared papers)Ruyi Li (16 shared papers)Chengmei Liu (16 shared papers)Mingyong Xie (8 shared papers)David Julian McClements (7 shared papers)Yanru Chen (16 shared papers)Yili Yang (5 shared papers)Shaoping Nie (4 shared papers)
- Journals
- Food Bioscience (8 papers)Journal of the Science of Food and Agriculture (6 papers)International Journal of Biological Macromolecules (5 papers)LWT (5 papers)Food Research International (4 papers)
- Partner nations
- ChinaMexicoUnited States
In The Last Decade
Yin Wan
91 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 113
- Food Science 878
- Biotechnology 211
- Biochemistry 144
- Immunology and Allergy 143
- Nutrition and Dietetics 250
Countries citing papers authored by Yin Wan
This map shows the geographic impact of Yin Wan'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 Yin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yin Wan more than expected).
Fields of papers citing papers by Yin Wan
This network shows the impact of papers produced by Yin Wan. 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 Yin Wan. The network helps show where Yin Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yin Wan, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 136 | |
| 2 | 2019 | 123 | |
| 3 | 2009 | 105 | |
| 4 | 2019 | 69 | |
| 5 | 2021 | 68 | |
| 6 | 2018 | 64 | |
| 7 | 2019 | 63 | |
| 8 | 2021 | 53 | |
| 9 | 2016 | 52 | |
| 10 | 2021 | 51 | |
| 11 | 2021 | 49 | |
| 12 | 2009 | 44 | |
| 13 | 2012 | 43 | |
| 14 | 2021 | 43 | |
| 15 | 2019 | 41 | |
| 16 | 2016 | 41 | |
| 17 | 2018 | 40 | |
| 18 | 2020 | 40 | |
| 19 | 2021 | 37 | |
| 20 | 2017 | 36 |
About Yin Wan
Yin Wan is a scholar working on Food Science, Molecular Biology, Plant Science, Water Science and Technology and Biotechnology, having authored 94 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fermentation and Sensory Analysis (17 papers), Minerals Flotation and Separation Techniques (14 papers), Gout, Hyperuricemia, Uric Acid (10 papers), Proteins in Food Systems (7 papers), Tea Polyphenols and Effects (7 papers), Magnesium Oxide Properties and Applications (6 papers), Natural product bioactivities and synthesis (5 papers) and Tannin, Tannase and Anticancer Activities (5 papers). The work is most often cited by research in Food Science (878 citations), Biotechnology (211 citations), Biochemistry (144 citations), Immunology and Allergy (143 citations) and Nutrition and Dietetics (250 citations). Yin Wan has collaborated with scholars based in China, Mexico and United States. Frequent co-authors include Guiming Fu, Ruyi Li, Chengmei Liu, Mingyong Xie, David Julian McClements, Yanru Chen, Yili Yang, Shaoping Nie, Xiaowen Pi and Taotao Dai. Their work appears in journals such as Food Bioscience, Journal of the Science of Food and Agriculture, International Journal of Biological Macromolecules, LWT 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.