Guoying Wang
- Plant Science top 0.5%
- Molecular Biology top 5%
- Genetics top 2%
- Immunology top 10%
- Oncology top 10%
- Co-authors
- Junjie FuYunjun LiuJun ZhengGuihua ChenJunling HuaiQi ZhangYan TaiJianhua Wang
- Topics
- Genetic Mapping and Diversity in Plants and Animals (35 papers)Plant Molecular Biology Research (29 papers)Photosynthetic Processes and Mechanisms (22 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Guoying Wang
130 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Plant Science 3.2k
- Molecular Biology 1.8k
- Genetics 1.1k
- Immunology 345
- Oncology 280
Countries citing papers authored by Guoying Wang
This map shows the geographic impact of Guoying Wang'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 Guoying Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoying Wang more than expected).
Fields of papers citing papers by Guoying Wang
This network shows the impact of papers produced by Guoying Wang. 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 Guoying Wang. The network helps show where Guoying Wang may publish in the future.
Co-authorship network of co-authors of Guoying Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Guoying Wang. A scholar is included among the top collaborators of Guoying Wang 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 Guoying Wang. Guoying Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 1 | |
| 7 | 26 | |
| 8 | 64 | |
| 9 | 31 | |
| 10 | 34 | |
| 11 | 34 | |
| 12 | 13 | |
| 13 | 12 | |
| 14 | 35 | |
| 15 | 124 | |
| 16 | 7 | |
| 17 | Identification of Deep-seeding Tolerance in Different Maize Inbred Lines and Their Physiological Response to Deep-seeding Condition | 9 |
| 18 | Cloning of a Full 3′ End cDNA Sequence of ACC Synthase from Fuyu Persimmon | 1 |
| 19 | Identification of doubled haploid plants from maize gynogenesis by SSR molecular marker | 1 |
| 20 | Genetic analysis of maize resistance to Curvularia leaf spot by ADAA model | 4 |
About Guoying Wang
Guoying Wang is a scholar working on Plant Science, Genetics and Molecular Biology, having authored 139 papers that have together received 4.6k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (35 papers), Plant Molecular Biology Research (29 papers) and Photosynthetic Processes and Mechanisms (22 papers). The work is most often cited by research in Plant Science (3.2k citations), Genetics (1.1k citations) and Agronomy and Crop Science (268 citations). Guoying Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Junjie Fu, Yunjun Liu, Jun Zheng, Guihua Chen, Junling Huai, Qi Zhang, Yan Tai, Jianhua Wang, Mingyue Gou and Zhigang Dong. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.
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.