Jun Sheng
Impact in
- Food Science top 10%
- Food Chemistry and Fat Analysis
- Proteins in Food Systems
- Microencapsulation and Drying Processes
Papers in
-
- Nuts composition and effects 6
-
- Proteins in Food Systems 5
- Food Chemistry and Fat Analysis 5
- Co-authors
- Yang Tian (9 shared papers)Yang Dong (5 shared papers)Shengchao Yang (3 shared papers)Wei Chen (3 shared papers)Wen Wang (2 shared papers)Guanghui Zhang (2 shared papers)Xiufen Li (4 shared papers)Yuxuan Zou (4 shared papers)
- Journals
- Food Hydrocolloids (3 papers)Food Chemistry (2 papers)Frontiers in Plant Science (2 papers)Foods (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ChinaSwitzerlandSri Lanka
In The Last Decade
Jun Sheng
24 papers receiving 330 citations
Peers
Comparison fields: 5 of 72
- Food Science 93
- Complementary and alternative medicine 25
- Plant Science 86
- Molecular Biology 156
- Biochemistry 13
Countries citing papers authored by Jun Sheng
This map shows the geographic impact of Jun Sheng'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 Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sheng more than expected).
Fields of papers citing papers by Jun Sheng
This network shows the impact of papers produced by Jun Sheng. 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 Sheng. The network helps show where Jun Sheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Sheng, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 66 | |
| 2 | 2015 | 66 | |
| 3 | 2018 | 39 | |
| 4 | 2024 | 28 | |
| 5 | 2023 | 24 | |
| 6 | 2021 | 20 | |
| 7 | 2024 | 15 | |
| 8 | 2021 | 14 | |
| 9 | 2023 | 12 | |
| 10 | 2024 | 10 | |
| 11 | 2024 | 8 | |
| 12 | 2022 | 6 | |
| 13 | 2025 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Jun Sheng
Jun Sheng is a scholar working on Nutrition and Dietetics, Food Science, Molecular Biology, Plant Science and Genetics, having authored 27 papers that have together received 332 indexed citations. Recurring topics across this work include Nuts composition and effects (6 papers), Proteins in Food Systems (5 papers), Food Chemistry and Fat Analysis (5 papers), Genomics and Phylogenetic Studies (4 papers), Genetic diversity and population structure (4 papers), Meat and Animal Product Quality (3 papers), Coffee research and impacts (2 papers) and Animal Nutrition and Physiology (2 papers). The work is most often cited by research in Food Science (93 citations), Complementary and alternative medicine (25 citations), Plant Science (86 citations), Molecular Biology (156 citations) and Biochemistry (13 citations). Jun Sheng has collaborated with scholars based in China, Switzerland and Sri Lanka. Frequent co-authors include Yang Tian, Yang Dong, Shengchao Yang, Wei Chen, Wen Wang, Guanghui Zhang, Xiufen Li, Yuxuan Zou, Liping Shu and Jing Zhang. Their work appears in journals such as Food Hydrocolloids, Food Chemistry, Frontiers in Plant Science, Foods and International Journal of Molecular Sciences.
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.