Yanying Qu
- Plant Science top 2%
- Molecular Biology
- Genetics top 10%
- Agronomy and Crop Science top 10%
- Endocrinology top 5%
- Topics
- Research in Cotton Cultivation (38 papers)Plant Virus Research Studies (13 papers)Rice Cultivation and Yield Improvement (13 papers)
- Partner nations
- ChinaUnited StatesMexico
In The Last Decade
Yanying Qu
68 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 64
- Plant Science 991
- Molecular Biology 285
- Genetics 198
- Agronomy and Crop Science 86
- Endocrinology 82
Countries citing papers authored by Yanying Qu
This map shows the geographic impact of Yanying Qu'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 Yanying Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanying Qu more than expected).
Fields of papers citing papers by Yanying Qu
This network shows the impact of papers produced by Yanying Qu. 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 Yanying Qu. The network helps show where Yanying Qu may publish in the future.
Co-authorship network of co-authors of Yanying Qu
This figure shows the co-authorship network connecting the top 25 collaborators of Yanying Qu. A scholar is included among the top collaborators of Yanying Qu 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 Yanying Qu. Yanying Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 10 | |
| 9 | 9 | |
| 10 | 21 | |
| 11 | 0 | |
| 12 | 23 | |
| 13 | 2 | |
| 14 | Analysis and Comprehensive Evaluation on Principal Component of Relative Indices of Drought Resistance at the Seedling Stage of Cotton | 3 |
| 15 | 2 | |
| 16 | Molecular markers of screening of the disease-resistance gene of cotton using SRAP-BSA technique. | 1 |
| 17 | Characteristics of Leaf Epidermis of Syringa and the Association with Their Environmental Adaptation and Systematics | 2 |
| 18 | Effects of gluten protein fractions on dough property and products quality in common wheat | 12 |
| 19 | 8 | |
| 20 | Genetic Characters of Vascular Bundle in the First Internode and Its Relationship with Yield Components of Wheat | 2 |
About Yanying Qu
Yanying Qu is a scholar working on Horticulture, Plant Science and Endocrinology, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (38 papers), Plant Virus Research Studies (13 papers) and Rice Cultivation and Yield Improvement (13 papers). The work is most often cited by research in Plant Science (991 citations), Endocrinology (82 citations) and Horticulture (15 citations). Yanying Qu has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Quanjia Chen, Zhonghu He, Zhiyong Ni, Ping Mu, Zichao Li, Wen Feng, Hongliang Zhang, Kai Zheng, Xianchun Xia and Yongming Gao. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Gene.
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.