Jun Chen
Impact in
- Food Science top 0.05%
- Proteins in Food Systems
- Polysaccharides Composition and Applications
- Microencapsulation and Drying Processes
- Nutrition and Dietetics top 0.1%
- Food composition and properties
Papers in
- Food Science 90
- Proteins in Food Systems 54
- Polysaccharides Composition and Applications 20
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- Food composition and properties 42
- Co-authors
- Liu Cheng-Mei (128 shared papers)Taotao Dai (92 shared papers)Ti Li (42 shared papers)Shunjing Luo (25 shared papers)Ruihong Liang (55 shared papers)Wei Liu (39 shared papers)David Julian McClements (31 shared papers)Mingshun Chen (28 shared papers)
- Journals
- Food Hydrocolloids (28 papers)Food Chemistry (16 papers)Carbohydrate Polymers (13 papers)Food Research International (11 papers)LWT (10 papers)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Jun Chen
293 papers receiving 12.5k citations
Peers
Comparison fields: 5 of 146
- Food Science 4.4k
- Nutrition and Dietetics 2.4k
- Biochemistry 461
- Pharmaceutical Science 345
- Biotechnology 276
Countries citing papers authored by Jun Chen
This map shows the geographic impact of Jun Chen'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 Jun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Chen more than expected).
Fields of papers citing papers by Jun Chen
This network shows the impact of papers produced by Jun Chen. 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 Jun Chen. The network helps show where Jun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Chen, 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 301 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 282 | |
| 2 | 2014 | 273 | |
| 3 | 2016 | 247 | |
| 4 | 2019 | 234 | |
| 5 | 2017 | 225 | |
| 6 | 2011 | 215 | |
| 7 | 2014 | 198 | |
| 8 | 2017 | 197 | |
| 9 | 2014 | 185 | |
| 10 | 2019 | 184 | |
| 11 | 2020 | 162 | |
| 12 | 2020 | 162 | |
| 13 | 2012 | 160 | |
| 14 | 2016 | 154 | |
| 15 | 2019 | 147 | |
| 16 | 2013 | 142 | |
| 17 | 2012 | 139 | |
| 18 | 2018 | 139 | |
| 19 | 2019 | 138 | |
| 20 | 2018 | 131 |
About Jun Chen
Jun Chen is a scholar working on Food Science, Nutrition and Dietetics, Biochemistry, Plant Science and Molecular Biology, having authored 301 papers that have together received 12.7k indexed citations. Recurring topics across this work include Proteins in Food Systems (54 papers), Food composition and properties (42 papers), Protein Interaction Studies and Fluorescence Analysis (22 papers), Polysaccharides Composition and Applications (20 papers), Phytochemicals and Antioxidant Activities (15 papers), Plant-Microbe Interactions and Immunity (14 papers), Microbial Inactivation Methods (13 papers) and Traditional Chinese Medicine Analysis (9 papers). The work is most often cited by research in Food Science (4.4k citations), Nutrition and Dietetics (2.4k citations), Biochemistry (461 citations), Pharmaceutical Science (345 citations) and Biotechnology (276 citations). Jun Chen has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Liu Cheng-Mei, Taotao Dai, Ti Li, Shunjing Luo, Ruihong Liang, Wei Liu, David Julian McClements, Mingshun Chen, Jiangping Ye and Xixiang Shuai. Their work appears in journals such as Food Hydrocolloids, Food Chemistry, Carbohydrate Polymers, Food Research International 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.