Xiaolei Liu
- Plant Science top 0.5%
- Genetics top 0.5%
- Molecular Biology top 10%
- Agronomy and Crop Science top 2%
- Cancer Research top 10%
- Co-authors
- Zhiwu ZhangMeng HuangEdward S. BucklerBin FanLilin YinHaohao ZhangXiaohui YuanRyan M. Summers
- Topics
- Genetic and phenotypic traits in livestock (30 papers)Genetic Mapping and Diversity in Plants and Animals (27 papers)Cancer-related molecular mechanisms research (9 papers)
- Partner nations
- ChinaUnited StatesKenya
In The Last Decade
Xiaolei Liu
75 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Plant Science 2.3k
- Genetics 1.9k
- Molecular Biology 704
- Agronomy and Crop Science 333
- Cancer Research 261
Countries citing papers authored by Xiaolei Liu
This map shows the geographic impact of Xiaolei Liu'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 Xiaolei Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolei Liu more than expected).
Fields of papers citing papers by Xiaolei Liu
This network shows the impact of papers produced by Xiaolei Liu. 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 Xiaolei Liu. The network helps show where Xiaolei Liu may publish in the future.
Co-authorship network of co-authors of Xiaolei Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolei Liu. A scholar is included among the top collaborators of Xiaolei Liu 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 Xiaolei Liu. Xiaolei Liu 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 | 3 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 12 | |
| 13 | 27 | |
| 14 | rMVP: A Memory-Efficient, Visualization-Enhanced, and Parallel-Accelerated Tool for Genome-Wide Association Studybreakdown → | 653 |
| 15 | 53 | |
| 16 | 4 | |
| 17 | 46 | |
| 18 | BLINK: a package for the next level of genome-wide association studies with both individuals and markers in the millionsbreakdown → | 478 |
| 19 | 18 | |
| 20 | 40 |
About Xiaolei Liu
Xiaolei Liu is a scholar working on Genetics, Small Animals and Cancer Research, having authored 86 papers that have together received 4.0k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (30 papers), Genetic Mapping and Diversity in Plants and Animals (27 papers) and Cancer-related molecular mechanisms research (9 papers). The work is most often cited by research in Genetics (1.9k citations), Plant Science (2.3k citations) and Agronomy and Crop Science (333 citations). Xiaolei Liu has collaborated with scholars based in China, United States and Kenya. Frequent co-authors include Zhiwu Zhang, Meng Huang, Edward S. Buckler, Bin Fan, Lilin Yin, Haohao Zhang, Xiaohui Yuan, Ryan M. Summers, Yao Zhou and Shuhong Zhao. 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.