Jin Ye
- Cell Biology top 0.5%
- Analytical Chemistry top 0.5%
- Analytical chemistry methods development 11
- Molecular Biology top 2%
- Advanced biosensing and bioanalysis techniques 12
- Agronomy and Crop Science top 1%
- Animal Disease Management and Epidemiology 28
- Plant Science top 2%
- Mycotoxins in Agriculture and Food 26
- Wheat and Barley Genetics and Pathology 20
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- Viral Infections and Immunology Research 30
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- Vector-Borne Animal Diseases 15
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- Biosensors and Analytical Detection 12
- Co-authors
- Zhen LiuRobert B. RawsonM S BrownXi ChenRon PrywesUtpal P. DavéRyutaro KomuroShuangshou Wang
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jin Ye
125 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Cell Biology 1.5k
- Analytical Chemistry 564
- Molecular Biology 2.9k
- Agronomy and Crop Science 423
- Plant Science 857
Countries citing papers authored by Jin Ye
This map shows the geographic impact of Jin Ye'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 Jin Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Ye more than expected).
Fields of papers citing papers by Jin Ye
This network shows the impact of papers produced by Jin Ye. 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 Jin Ye. The network helps show where Jin Ye may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 2 | |
| 10 | 2020 | 15 | |
| 11 | Effect of feeding pattern on intestinal flora and fatty acid metabolism in Sunit sheep. | 2018 | 3 |
| 12 | 2018 | 3 | |
| 13 | 2018 | 32 | |
| 14 | 2016 | 18 | |
| 15 | 2015 | 35 | |
| 16 | 2015 | 10 | |
| 17 | 2015 | 12 | |
| 18 | THE NORTHWEST EDGE IN JUNGGAR BASIN DESERT PLANT COMMUNITY DISTRIBUTION MAIN ENVIRONMENTAL FACTORS INPACT ANALYSIS | 2013 | 1 |
| 19 | Wildfire Contribution to Black Carbon in the Western U.S. Mountain Ranges | 2010 | 1 |
| 20 | RNA polymerase II-mediated transcription at active loci does not require histone H3S10 phosphorylation in Drosophila | 2008 | 18 |
About Jin Ye
Jin Ye is a scholar working on Agronomy and Crop Science, Analytical Chemistry, Cardiology and Cardiovascular Medicine, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 131 papers that have together received 5.5k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (30 papers), Animal Disease Management and Epidemiology (28 papers), Mycotoxins in Agriculture and Food (26 papers), Wheat and Barley Genetics and Pathology (20 papers), Vector-Borne Animal Diseases (15 papers), Advanced biosensing and bioanalysis techniques (12 papers), Biosensors and Analytical Detection (12 papers) and Analytical chemistry methods development (11 papers). The work is most often cited by research in Cell Biology (1.5k citations), Analytical Chemistry (564 citations), Molecular Biology (2.9k citations), Agronomy and Crop Science (423 citations) and Plant Science (857 citations). Jin Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhen Liu, Robert B. Rawson, M S Brown, Xi Chen, Ron Prywes, Utpal P. Davé, Ryutaro Komuro, Shuangshou Wang, Zijun Bie and Yang Chen. Their work appears in journals such as Toxins, Food Chemistry, PLoS ONE, Virus Research and Foods.
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.