Junrui Wu
Impact in
- Food Science top 0.2%
- Probiotics and Fermented Foods
- Fermentation and Sensory Analysis
- Nutrition and Dietetics top 0.5%
- Infant Nutrition and Health
- Microbial Metabolites in Food Biotechnology
Papers in
- Food Science 59
- Probiotics and Fermented Foods 44
- Fermentation and Sensory Analysis 11
-
- Gut microbiota and health 20
- Protein Hydrolysis and Bioactive Peptides 13
- Co-authors
- Rina Wu (89 shared papers)Xiqing Yue (28 shared papers)Feiyu An (23 shared papers)Mei Yang (16 shared papers)Xueyan Cao (8 shared papers)Mo Li (9 shared papers)Biao Liu (5 shared papers)Ruixue Ding (9 shared papers)
- Journals
- Food Chemistry (10 papers)Food Research International (10 papers)Food Bioscience (7 papers)International Journal of Biological Macromolecules (6 papers)LWT (4 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Junrui Wu
105 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 131
- Food Science 1.8k
- Nutrition and Dietetics 1.0k
- Animal Science and Zoology 326
- Biotechnology 256
- Molecular Biology 1.4k
Countries citing papers authored by Junrui Wu
This map shows the geographic impact of Junrui 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 Junrui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junrui Wu more than expected).
Fields of papers citing papers by Junrui Wu
This network shows the impact of papers produced by Junrui 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 Junrui Wu. The network helps show where Junrui Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junrui 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 207 | |
| 2 | 2015 | 174 | |
| 3 | 2020 | 140 | |
| 4 | 2009 | 125 | |
| 5 | 2016 | 112 | |
| 6 | 2020 | 95 | |
| 7 | 2019 | 94 | |
| 8 | 2011 | 93 | |
| 9 | 2020 | 89 | |
| 10 | 2016 | 85 | |
| 11 | 2023 | 82 | |
| 12 | 2018 | 82 | |
| 13 | 2009 | 78 | |
| 14 | 2018 | 77 | |
| 15 | 2017 | 75 | |
| 16 | 2020 | 68 | |
| 17 | 2021 | 66 | |
| 18 | 2019 | 65 | |
| 19 | 2021 | 61 | |
| 20 | 2020 | 58 |
About Junrui Wu
Junrui Wu is a scholar working on Food Science, Molecular Biology, Nutrition and Dietetics, Plant Science and Animal Science and Zoology, having authored 109 papers that have together received 3.4k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (44 papers), Gut microbiota and health (20 papers), Infant Nutrition and Health (13 papers), Polysaccharides and Plant Cell Walls (13 papers), Protein Hydrolysis and Bioactive Peptides (13 papers), Meat and Animal Product Quality (11 papers), Fermentation and Sensory Analysis (11 papers) and Lipid metabolism and biosynthesis (7 papers). The work is most often cited by research in Food Science (1.8k citations), Nutrition and Dietetics (1.0k citations), Animal Science and Zoology (326 citations), Biotechnology (256 citations) and Molecular Biology (1.4k citations). Junrui Wu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Rina Wu, Xiqing Yue, Feiyu An, Mei Yang, Xueyan Cao, Mo Li, Biao Liu, Ruixue Ding, Dongbing Tao and Xue Luo. Their work appears in journals such as Food Chemistry, Food Research International, Food Bioscience, International Journal of Biological Macromolecules and LWT.
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.