Yuxing Liao
- Molecular Biology top 5%
- Cancer Research top 5%
- Genetics top 5%
- Oncology top 10%
- Immunology top 10%
- Co-authors
- Bing ZhangZhiao ShiEric J. JaehnigJing WangNick V. GrishinHua ChengR. Dustin SchaefferLisa N. Kinch
- Topics
- Machine Learning in Bioinformatics (8 papers)Genomics and Phylogenetic Studies (8 papers)Bioinformatics and Genomic Networks (7 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Yuxing Liao
25 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 2.1k
- Cancer Research 422
- Genetics 386
- Oncology 312
- Immunology 310
Countries citing papers authored by Yuxing Liao
This map shows the geographic impact of Yuxing Liao'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 Yuxing Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuxing Liao more than expected).
Fields of papers citing papers by Yuxing Liao
This network shows the impact of papers produced by Yuxing Liao. 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 Yuxing Liao. The network helps show where Yuxing Liao may publish in the future.
Co-authorship network of co-authors of Yuxing Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Yuxing Liao. A scholar is included among the top collaborators of Yuxing Liao 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 Yuxing Liao. Yuxing Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 33 | |
| 4 | WebGestalt 2024: faster gene set analysis and new support for metabolomics and multi-omicsbreakdown → | 96 |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 27 | |
| 8 | 3 | |
| 9 | 32 | |
| 10 | 101 | |
| 11 | 12 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 61 | |
| 15 | 23 | |
| 16 | 170 | |
| 17 | 210 | |
| 18 | 11 | |
| 19 | 289 | |
| 20 | 81 |
About Yuxing Liao
Yuxing Liao is a scholar working on Molecular Biology, Spectroscopy and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 3.2k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (8 papers), Genomics and Phylogenetic Studies (8 papers) and Bioinformatics and Genomic Networks (7 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cancer Research (422 citations) and Aging (40 citations). Yuxing Liao has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Bing Zhang, Zhiao Shi, Eric J. Jaehnig, Jing Wang, Nick V. Grishin, Hua Cheng, R. Dustin Schaeffer, Lisa N. Kinch, Jimin Pei and Shuoyong Shi. Their work appears in journals such as Cell, Nucleic Acids Research 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.