Xue Gao
- Genetics top 1%
- Molecular Biology
- Cancer Research top 5%
- Agronomy and Crop Science top 1%
- Animal Science and Zoology top 2%
- Co-authors
- Junya LiHuijiang GaoLupei ZhangLingyang XuShang‐Zhong XuYan ChenZhengrong YuanBo Zhu
- Topics
- Genetic and phenotypic traits in livestock (79 papers)Genetic Mapping and Diversity in Plants and Animals (66 papers)Cancer-related molecular mechanisms research (53 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xue Gao
151 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 122
- Genetics 1.5k
- Molecular Biology 589
- Cancer Research 558
- Agronomy and Crop Science 440
- Animal Science and Zoology 356
Countries citing papers authored by Xue Gao
This map shows the geographic impact of Xue Gao'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 Xue Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xue Gao more than expected).
Fields of papers citing papers by Xue Gao
This network shows the impact of papers produced by Xue Gao. 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 Xue Gao. The network helps show where Xue Gao may publish in the future.
Co-authorship network of co-authors of Xue Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Xue Gao. A scholar is included among the top collaborators of Xue Gao 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 Xue Gao. Xue Gao 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 36 | |
| 13 | Estimation of Genetic Parameters for Economic Important Traits in Chinese Simmental Beef Cattle | 1 |
| 14 | 11 | |
| 15 | Genetic polymorphisms of Mc4R and IGF2 gene association with feed conversion efficiency traits in beef cattle. | 8 |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 24 | |
| 19 | Genetic Polymorphism of TLR4 Gene and Correlation with Mastitis in Bovine | 1 |
| 20 | Genetic Polymorphisms of GH Genes in Chinese Yellow Cattle | 1 |
About Xue Gao
Xue Gao is a scholar working on Cancer Research, Genetics and Agronomy and Crop Science, having authored 157 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (79 papers), Genetic Mapping and Diversity in Plants and Animals (66 papers) and Cancer-related molecular mechanisms research (53 papers). The work is most often cited by research in Genetics (1.5k citations), Agronomy and Crop Science (440 citations) and Cancer Research (558 citations). Xue Gao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Junya Li, Huijiang Gao, Lupei Zhang, Lingyang Xu, Shang‐Zhong Xu, Yan Chen, Zhengrong Yuan, Bo Zhu, Hongyan Ren and Zezhao Wang. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.
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.