Jun Jin
Impact in
- Biochemistry top 2%
- Antioxidant Activity and Oxidative Stress
- Phytochemicals and Antioxidant Activities
- Food Science top 1%
- Food Chemistry and Fat Analysis
- Proteins in Food Systems
- Polysaccharides Composition and Applications
Papers in ⓘ
- Food Science 46
- Food Chemistry and Fat Analysis 31
- Proteins in Food Systems 24
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- Fatty Acid Research and Health 28
- Co-authors
- Qingzhe Jin (76 shared papers)Xingguo Wang (73 shared papers)Dan Xie (18 shared papers)Xiaosan Wang (10 shared papers)Wei Wei (16 shared papers)Casimir C. Akoh (10 shared papers)Jianhua Huang (14 shared papers)Liyou Zheng (18 shared papers)
- Journals
- Journal of the American Oil Chemists Society (12 papers)Food Chemistry (7 papers)Food Bioscience (6 papers)LWT (6 papers)International Journal of Food Science & Technology (5 papers)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Jun Jin
116 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 123
- Biochemistry 281
- Food Science 763
- Nutrition and Dietetics 500
- Animal Science and Zoology 190
- Aquatic Science 125
Countries citing papers authored by Jun Jin
This map shows the geographic impact of Jun Jin'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 Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Jin more than expected).
Fields of papers citing papers by Jun Jin
This network shows the impact of papers produced by Jun Jin. 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 Jin. The network helps show where Jun Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Jin, 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 151 | |
| 2 | 2017 | 119 | |
| 3 | 2016 | 61 | |
| 4 | 2016 | 60 | |
| 5 | 2018 | 58 | |
| 6 | 2016 | 55 | |
| 7 | 2016 | 49 | |
| 8 | 2018 | 48 | |
| 9 | 2018 | 47 | |
| 10 | 2018 | 41 | |
| 11 | 2021 | 41 | |
| 12 | 2020 | 40 | |
| 13 | 2018 | 39 | |
| 14 | 2012 | 35 | |
| 15 | 2020 | 32 | |
| 16 | 2017 | 32 | |
| 17 | 2022 | 32 | |
| 18 | 2018 | 30 | |
| 19 | 2018 | 28 | |
| 20 | 2023 | 26 |
About Jun Jin
Jun Jin is a scholar working on Food Science, Nutrition and Dietetics, Organic Chemistry, Biochemistry and Molecular Biology, having authored 122 papers that have together received 1.9k indexed citations. Recurring topics across this work include Food Chemistry and Fat Analysis (31 papers), Fatty Acid Research and Health (28 papers), Proteins in Food Systems (24 papers), Edible Oils Quality and Analysis (23 papers), Antioxidant Activity and Oxidative Stress (15 papers), Petroleum Processing and Analysis (11 papers), Enhanced Oil Recovery Techniques (11 papers) and Free Radicals and Antioxidants (10 papers). The work is most often cited by research in Biochemistry (281 citations), Food Science (763 citations), Nutrition and Dietetics (500 citations), Animal Science and Zoology (190 citations) and Aquatic Science (125 citations). Jun Jin has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Qingzhe Jin, Xingguo Wang, Dan Xie, Xiaosan Wang, Wei Wei, Casimir C. Akoh, Jianhua Huang, Liyou Zheng, Mengyue Gong and Ruijie Liu. Their work appears in journals such as Journal of the American Oil Chemists Society, Food Chemistry, Food Bioscience, LWT and International Journal of Food Science & Technology.
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.