Jun Jin
Impact in
- Biochemistry top 2%
- Phytochemicals and Antioxidant Activities
- Antioxidant Activity and Oxidative Stress
- Food Science top 1%
- Food Chemistry and Fat Analysis
- Proteins in Food Systems
Papers in
- Food Science 51
- Food Chemistry and Fat Analysis 33
- Proteins in Food Systems 27
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- Fatty Acid Research and Health 29
- Co-authors
- Qingzhe Jin (78 shared papers)Xingguo Wang (73 shared papers)Dan Xie (20 shared papers)Wei Wei (16 shared papers)Xiaosan Wang (10 shared papers)Casimir C. Akoh (10 shared papers)Liyou Zheng (19 shared papers)Jianhua Huang (14 shared papers)
- Journals
- Journal of the American Oil Chemists Society (12 papers)Food Chemistry (8 papers)Foods (8 papers)Food Bioscience (6 papers)LWT (6 papers)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Jun Jin
123 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 125
- Biochemistry 296
- Food Science 862
- Nutrition and Dietetics 527
- Animal Science and Zoology 203
- Aquatic Science 138
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 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 175 | |
| 2 | 2017 | 129 | |
| 3 | 2018 | 64 | |
| 4 | 2016 | 62 | |
| 5 | 2016 | 62 | |
| 6 | 2016 | 61 | |
| 7 | 2016 | 54 | |
| 8 | 2021 | 53 | |
| 9 | 2018 | 51 | |
| 10 | 2018 | 50 | |
| 11 | 2020 | 44 | |
| 12 | 2023 | 44 | |
| 13 | 2018 | 44 | |
| 14 | 2018 | 43 | |
| 15 | 2012 | 38 | |
| 16 | 2022 | 37 | |
| 17 | 2020 | 36 | |
| 18 | 2017 | 33 | |
| 19 | 2018 | 33 | |
| 20 | 2023 | 32 |
About Jun Jin
Jun Jin is a scholar working on Food Science, Nutrition and Dietetics, Biochemistry, Analytical Chemistry and Organic Chemistry, having authored 133 papers that have together received 2.2k indexed citations. Recurring topics across this work include Food Chemistry and Fat Analysis (33 papers), Fatty Acid Research and Health (29 papers), Proteins in Food Systems (27 papers), Edible Oils Quality and Analysis (25 papers), Petroleum Processing and Analysis (14 papers), Antioxidant Activity and Oxidative Stress (14 papers), Enhanced Oil Recovery Techniques (13 papers) and Free Radicals and Antioxidants (10 papers). The work is most often cited by research in Biochemistry (296 citations), Food Science (862 citations), Nutrition and Dietetics (527 citations), Animal Science and Zoology (203 citations) and Aquatic Science (138 citations). Jun Jin has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Qingzhe Jin, Xingguo Wang, Dan Xie, Wei Wei, Xiaosan Wang, Casimir C. Akoh, Liyou Zheng, Jianhua Huang, Mengyue Gong and Gangcheng Wu. Their work appears in journals such as Journal of the American Oil Chemists Society, Food Chemistry, Foods, Food Bioscience 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.