Jinshui Yang
- Plant Science top 2%
- Molecular Biology
- Genetics top 5%
- Endocrinology top 5%
- Cancer Research
- Co-authors
- Xiaojin LuoFan SunWei SuYing WangXiaojun ZhaXiaoyin QianXiaoyun XinWeiwei Qi
- Topics
- Genetic Mapping and Diversity in Plants and Animals (20 papers)Plant Molecular Biology Research (18 papers)Rice Cultivation and Yield Improvement (9 papers)
- Cited by
- Plant ScienceEndocrinologyGenetics
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jinshui Yang
57 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 77
- Plant Science 1.2k
- Molecular Biology 593
- Genetics 489
- Endocrinology 93
- Cancer Research 71
Countries citing papers authored by Jinshui Yang
This map shows the geographic impact of Jinshui Yang'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 Jinshui Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinshui Yang more than expected).
Fields of papers citing papers by Jinshui Yang
This network shows the impact of papers produced by Jinshui Yang. 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 Jinshui Yang. The network helps show where Jinshui Yang may publish in the future.
Co-authorship network of co-authors of Jinshui Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Jinshui Yang. A scholar is included among the top collaborators of Jinshui Yang 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 Jinshui Yang. Jinshui Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 17 | |
| 4 | 227 | |
| 5 | 190 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 30 | |
| 9 | 54 | |
| 10 | 46 | |
| 11 | 9 | |
| 12 | 35 | |
| 13 | 5 | |
| 14 | 10 | |
| 15 | 7 | |
| 16 | Isolation and Characterization of a cDNA Encoding Maize Cytosolic Malate Dehydrogenase | 1 |
| 17 | Differential Expression of MADS-box Genes in the Morphogenesis of Calli in Rice | 1 |
| 18 | Alteration of gene expression in rice hybrid F_(1) and its parantal seedlings | 15 |
| 19 | Introduction of Foreign Gene into Small Cell Groups Digested Partial-Enzymically in Rice and Regeneration of Transgenic Plants | 1 |
| 20 | Callus Induction and Plantlet Regeneration in Grapevines | 1 |
About Jinshui Yang
Jinshui Yang is a scholar working on Plant Science, Genetics and Biotechnology, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (20 papers), Plant Molecular Biology Research (18 papers) and Rice Cultivation and Yield Improvement (9 papers). The work is most often cited by research in Plant Science (1.2k citations), Endocrinology (93 citations) and Genetics (489 citations). Jinshui Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaojin Luo, Fan Sun, Wei Su, Ying Wang, Xiaojun Zha, Xiaoyin Qian, Xiaoyun Xin, Weiwei Qi, Jianhua Hu and Qi Cheng. Their work appears in journals such as Nature Communications, The Plant Cell and The Science of The Total Environment.
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.