Xue Gao
- Molecular Biology top 2%
- Pharmacology top 1%
- Genetics top 5%
- Biomedical Engineering top 10%
- Plant Science top 10%
- Co-authors
- Yi TangDavid R. LiuHolly A. ReesJohnny H. HuMaarten H. GeurtsWeixin TangNing SunShannon M. Miller
- Topics
- Microbial Natural Products and Biosynthesis (25 papers)CRISPR and Genetic Engineering (24 papers)Advanced biosensing and bioanalysis techniques (12 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Xue Gao
84 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 3.7k
- Pharmacology 742
- Genetics 590
- Biomedical Engineering 455
- Plant Science 349
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 | 1 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 21 | |
| 7 | 6 | |
| 8 | CRISPR‐Cas Biochemistry and CRISPR‐Based Molecular Diagnosticsbreakdown → | 123 |
| 9 | 43 | |
| 10 | 40 | |
| 11 | 29 | |
| 12 | 33 | |
| 13 | 10 | |
| 14 | 53 | |
| 15 | 34 | |
| 16 | 1 | |
| 17 | 64 | |
| 18 | Research on Noise Reduction Algorithm Based on Combination of LMS Filter and Spectral Subtraction | 4 |
| 19 | Efficient delivery of genome-editing proteins using bioreducible lipid nanoparticlesbreakdown → | 540 |
| 20 | 18 |
About Xue Gao
Xue Gao is a scholar working on Pharmacology, Process Chemistry and Technology and Molecular Biology, having authored 87 papers that have together received 4.7k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (25 papers), CRISPR and Genetic Engineering (24 papers) and Advanced biosensing and bioanalysis techniques (12 papers). The work is most often cited by research in Business and International Management (253 citations), Aging (143 citations) and Molecular Biology (3.7k citations). Xue Gao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yi Tang, David R. Liu, Holly A. Rees, Johnny H. Hu, Maarten H. Geurts, Weixin Tang, Ning Sun, Shannon M. Miller, Zhi Lin and Liwei Chen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.