Shaoqi Rao
- Sensory Systems top 1%
- Hearing, Cochlea, Tinnitus, Genetics 10
- Genetics top 2%
- Genetic Associations and Epidemiology 25
- Genetic Mapping and Diversity in Plants and Animals 16
- Genetic and phenotypic traits in livestock 8
- Speech and Hearing top 2%
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks 28
- Gene expression and cancer classification 18
- RNA modifications and cancer 8
- Machine Learning in Bioinformatics 5
- Cancer Research top 10%
- Journals
- PLoS ONE (6 papers)Acta Oto-Laryngologica (4 papers)The American Journal of Human Genetics (4 papers)
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Shaoqi Rao
98 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 153
- Sensory Systems 265
- Genetics 721
- Speech and Hearing 129
- Molecular Biology 1.2k
- Cancer Research 247
Countries citing papers authored by Shaoqi Rao
This map shows the geographic impact of Shaoqi Rao'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 Shaoqi Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoqi Rao more than expected).
Fields of papers citing papers by Shaoqi Rao
This network shows the impact of papers produced by Shaoqi Rao. 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 Shaoqi Rao. The network helps show where Shaoqi Rao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shaoqi Rao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 7 | |
| 2 | 2017 | 1 | |
| 3 | 2016 | 8 | |
| 4 | 2016 | 7 | |
| 5 | 2015 | 20 | |
| 6 | 2014 | 50 | |
| 7 | 2013 | 34 | |
| 8 | 2013 | 1 | |
| 9 | 2011 | 12 | |
| 10 | 2011 | 56 | |
| 11 | 2011 | 75 | |
| 12 | 2011 | 2 | |
| 13 | [Correlation between phonetically balanced maximum and pure tone auditory threshold among 106 auditory neuropathy patients]. | 2008 | 0 |
| 14 | 2008 | 67 | |
| 15 | 2006 | 50 | |
| 16 | 2006 | 2 | |
| 17 | 2006 | 21 | |
| 18 | Reverse Engineering of Multiple Time-delayed Gene Regulatory Networks. | 2004 | 0 |
| 19 | 2003 | 4 | |
| 20 | 2003 | 55 |
About Shaoqi Rao
Shaoqi Rao is a scholar working on Sensory Systems, Speech and Hearing and Genetics, having authored 100 papers that have together received 3.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (28 papers), Genetic Associations and Epidemiology (25 papers), Gene expression and cancer classification (18 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers), Hearing, Cochlea, Tinnitus, Genetics (10 papers), Genetic and phenotypic traits in livestock (8 papers), RNA modifications and cancer (8 papers) and Machine Learning in Bioinformatics (5 papers). The work is most often cited by research in Sensory Systems (265 citations), Genetics (721 citations) and Speech and Hearing (129 citations). Shaoqi Rao has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Qing K. Wang, Eric J. Topol, Qiuyun Chen, Xia Li, Gong-Qing Shen, Lei Du, Zheng Guo, Lin Li, Yuantao Hao and Lin Li. Their work appears in journals such as PLoS ONE, Acta Oto-Laryngologica, The American Journal of Human Genetics, Progress in Natural Science Materials International and Genetic Epidemiology.
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.