Yunbi Xu
- Plant Science top 0.1%
- Genetics top 0.1%
- Molecular Biology top 5%
- Agronomy and Crop Science top 1%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Jonathan H. CrouchSusan R. McCouchSvetlana V. TemnykhCheng ZouChuanxiao XieX. ChenYanli LuTakashige Ishii
- Topics
- Genetic Mapping and Diversity in Plants and Animals (82 papers)Genetics and Plant Breeding (45 papers)Genetic and phenotypic traits in livestock (26 papers)
- Cited by
- Plant ScienceGeneticsHorticulture
- Partner nations
- ChinaMexicoUnited States
In The Last Decade
Yunbi Xu
109 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Plant Science 7.3k
- Genetics 4.5k
- Molecular Biology 1.4k
- Agronomy and Crop Science 572
- Ecology, Evolution, Behavior and Systematics 203
Countries citing papers authored by Yunbi Xu
This map shows the geographic impact of Yunbi Xu'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 Yunbi Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunbi Xu more than expected).
Fields of papers citing papers by Yunbi Xu
This network shows the impact of papers produced by Yunbi Xu. 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 Yunbi Xu. The network helps show where Yunbi Xu may publish in the future.
Co-authorship network of co-authors of Yunbi Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Yunbi Xu. A scholar is included among the top collaborators of Yunbi Xu 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 Yunbi Xu. Yunbi Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 112 | |
| 6 | 2 | |
| 7 | Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic predictionbreakdown → | 176 |
| 8 | 13 | |
| 9 | 40 | |
| 10 | 41 | |
| 11 | 79 | |
| 12 | 206 | |
| 13 | 38 | |
| 14 | 42 | |
| 15 | 77 | |
| 16 | 32 | |
| 17 | 53 | |
| 18 | 31 | |
| 19 | Molecular Mapping for Quantitative Trait Loci Controlling Yield Component Characters Using a Maximum Likelihood Method in Rice (Oryza sativa L.). | 1 |
| 20 | Distorted Segregations of RFLP Markers and Their Distribution on Chromosomes in an indica/japonica F2 Population of Rice (Oryza sativa L.) | 4 |
About Yunbi Xu
Yunbi Xu is a scholar working on Genetics, Plant Science and Agronomy and Crop Science, having authored 110 papers that have together received 8.3k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (82 papers), Genetics and Plant Breeding (45 papers) and Genetic and phenotypic traits in livestock (26 papers). The work is most often cited by research in Plant Science (7.3k citations), Genetics (4.5k citations) and Horticulture (60 citations). Yunbi Xu has collaborated with scholars based in China, Mexico and United States. Frequent co-authors include Jonathan H. Crouch, Susan R. McCouch, Svetlana V. Temnykh, Cheng Zou, Chuanxiao Xie, X. Chen, Yanli Lu, Takashige Ishii, Xiuli Chen and B. M. Prasanna. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.
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.