Shan Yu
- Plant Science top 1%
- Genetics top 1%
- Molecular Biology
- Nutrition and Dietetics top 10%
- Agronomy and Crop Science top 10%
- Co-authors
- Qifa ZhangChao XuY. F. TanYingxia GaoM. A. Saghai MaroofYao TanYongzhong XingC. H. M. Vijayakumar
- Topics
- Genetic Mapping and Diversity in Plants and Animals (11 papers)Rice Cultivation and Yield Improvement (9 papers)GABA and Rice Research (6 papers)
- Journals
- Proceedings of the National Academy of SciencesTheoretical and Applied GeneticsInternational Journal of Biological Macromolecules
- Partner nations
- ChinaPhilippinesIndia
In The Last Decade
Shan Yu
18 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Plant Science 1.7k
- Genetics 1.3k
- Molecular Biology 157
- Nutrition and Dietetics 131
- Agronomy and Crop Science 74
Countries citing papers authored by Shan Yu
This map shows the geographic impact of Shan Yu'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 Shan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Yu more than expected).
Fields of papers citing papers by Shan Yu
This network shows the impact of papers produced by Shan Yu. 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 Shan Yu. The network helps show where Shan Yu may publish in the future.
Co-authorship network of co-authors of Shan Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Shan Yu. A scholar is included among the top collaborators of Shan Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shan Yu. Shan Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | Antioxidant activity of different polar components from the stems and leaves of Lonicera macranthoides in vitro | 1 |
| 10 | Catechins synthesis and accumulation in tea seedlings at different development stages | 3 |
| 11 | 29 | |
| 12 | 142 | |
| 13 | 98 | |
| 14 | 228 | |
| 15 | 123 | |
| 16 | 110 | |
| 17 | 74 | |
| 18 | 358 | |
| 19 | 7 | |
| 20 | Importance of epistasis as the genetic basis of heterosis in an elite rice hybridbreakdown → | 586 |
About Shan Yu
Shan Yu is a scholar working on Plant Science, Genetics and Food Science, having authored 21 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (11 papers), Rice Cultivation and Yield Improvement (9 papers) and GABA and Rice Research (6 papers). The work is most often cited by research in Genetics (1.3k citations), Plant Science (1.7k citations) and Nutrition and Dietetics (131 citations). Shan Yu has collaborated with scholars based in China, Philippines and India. Frequent co-authors include Qifa Zhang, Chao Xu, Y. F. Tan, Yingxia Gao, M. A. Saghai Maroof, Yao Tan, Yongzhong Xing, C. H. M. Vijayakumar, J. Domingo and H.R. Lafïtte. Their work appears in journals such as Proceedings of the National Academy of Sciences, Theoretical and Applied Genetics and International Journal of Biological Macromolecules.
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.