Ye Jin
Impact in
- Animal Science and Zoology top 0.5%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Biomaterials top 5%
- Nanocomposite Films for Food Packaging
- biodegradable polymer synthesis and properties
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 12
- Muscle Physiology and Disorders 9
-
- Meat and Animal Product Quality 39
- Animal Nutrition and Physiology 14
- Co-authors
- Lihua Zhao (30 shared papers)Tungalag Dong (17 shared papers)Lin Su (32 shared papers)Rina Su (15 shared papers)Jianjun Tian (11 shared papers)Wenxiu Sun (12 shared papers)Yulong Luo (12 shared papers)Xueyan Yun (9 shared papers)
- Journals
- Food Science & Nutrition (12 papers)Meat Science (8 papers)Journal of Food Processing and Preservation (6 papers)Foods (4 papers)Animals (3 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Ye Jin
140 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 143
- Animal Science and Zoology 687
- Biomaterials 314
- Food Science 404
- Process Chemistry and Technology 40
- Agronomy and Crop Science 118
Countries citing papers authored by Ye Jin
This map shows the geographic impact of Ye 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 Ye Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Jin more than expected).
Fields of papers citing papers by Ye Jin
This network shows the impact of papers produced by Ye 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 Ye Jin. The network helps show where Ye Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye 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 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 87 | |
| 2 | 2020 | 71 | |
| 3 | 2019 | 65 | |
| 4 | 2019 | 65 | |
| 5 | 2022 | 65 | |
| 6 | 2020 | 60 | |
| 7 | 2023 | 59 | |
| 8 | 2018 | 54 | |
| 9 | 2021 | 51 | |
| 10 | 2021 | 46 | |
| 11 | 2019 | 45 | |
| 12 | 2011 | 45 | |
| 13 | 2018 | 41 | |
| 14 | 2013 | 40 | |
| 15 | 2017 | 40 | |
| 16 | 2023 | 39 | |
| 17 | 2021 | 38 | |
| 18 | 2019 | 36 | |
| 19 | 2022 | 34 | |
| 20 | 2020 | 34 |
About Ye Jin
Ye Jin is a scholar working on Molecular Biology, Animal Science and Zoology, Biomedical Engineering, Food Science and Biomaterials, having authored 144 papers that have together received 2.2k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (39 papers), Animal Nutrition and Physiology (14 papers), Protein Hydrolysis and Bioactive Peptides (12 papers), biodegradable polymer synthesis and properties (11 papers), Muscle metabolism and nutrition (10 papers), Adipose Tissue and Metabolism (9 papers), Muscle Physiology and Disorders (9 papers) and Ruminant Nutrition and Digestive Physiology (8 papers). The work is most often cited by research in Animal Science and Zoology (687 citations), Biomaterials (314 citations), Food Science (404 citations), Process Chemistry and Technology (40 citations) and Agronomy and Crop Science (118 citations). Ye Jin has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Lihua Zhao, Tungalag Dong, Lin Su, Rina Su, Jianjun Tian, Wenxiu Sun, Yulong Luo, Xueyan Yun, Yanru Hou and Marleny D.A. Saldaña. Their work appears in journals such as Food Science & Nutrition, Meat Science, Journal of Food Processing and Preservation, Foods and Animals.
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.