Shaoqi Rao

4.4k total citations
100 papers, 3.2k citations indexed

About

Shaoqi Rao is a scholar working on Molecular Biology, Genetics and Speech and Hearing. According to data from OpenAlex, Shaoqi Rao has authored 100 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 36 papers in Genetics and 10 papers in Speech and Hearing. Recurrent topics in Shaoqi Rao's work include Bioinformatics and Genomic Networks (28 papers), Genetic Associations and Epidemiology (25 papers) and Gene expression and cancer classification (18 papers). Shaoqi Rao is often cited by papers focused on Bioinformatics and Genomic Networks (28 papers), Genetic Associations and Epidemiology (25 papers) and Gene expression and cancer classification (18 papers). Shaoqi Rao collaborates with scholars based in China, United States and Philippines. Shaoqi Rao's co-authors include Qing K. Wang, Eric J. Topol, Qiuyun Chen, Xia Li, Gong-Qing Shen, Lei Du, Lin Li, Zheng Guo, Yuantao Hao and Lin Li and has published in prestigious journals such as Nature, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Shaoqi Rao

98 papers receiving 3.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shaoqi Rao China 31 1.2k 721 346 314 273 100 3.2k
Brendan J. Keating United States 28 909 0.7× 823 1.1× 401 1.2× 239 0.8× 200 0.7× 102 2.8k
Eric Jorgenson United States 32 1.2k 1.0× 1000 1.4× 272 0.8× 403 1.3× 215 0.8× 89 3.9k
Andrew T. DeWan United States 31 1.4k 1.2× 660 0.9× 98 0.3× 303 1.0× 124 0.5× 116 4.2k
Maxim B. Freidin United Kingdom 28 700 0.6× 288 0.4× 189 0.5× 280 0.9× 64 0.2× 152 3.3k
Béla Melegh Hungary 35 1.4k 1.1× 870 1.2× 467 1.3× 331 1.1× 763 2.8× 260 4.4k
Cathy S.J. Fann Taiwan 35 1.2k 1.0× 1.1k 1.6× 432 1.2× 331 1.1× 434 1.6× 147 4.2k
M. Michael Barmada United States 34 1.2k 1.0× 995 1.4× 1.4k 4.1× 383 1.2× 282 1.0× 112 4.3k
Akira Takagi Japan 29 1.4k 1.1× 168 0.2× 253 0.7× 191 0.6× 108 0.4× 177 3.3k
Hyung‐Lae Kim South Korea 31 1.7k 1.4× 504 0.7× 308 0.9× 404 1.3× 211 0.8× 109 3.2k
Binbin Wang China 31 1.5k 1.2× 721 1.0× 356 1.0× 420 1.3× 144 0.5× 289 3.8k

Countries citing papers authored by Shaoqi Rao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Shaoqi Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoqi Rao. A scholar is included among the top collaborators of Shaoqi Rao 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 Shaoqi Rao. Shaoqi Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Jiang, Yutong, Qing Lv, Shaoqi Rao, et al.. (2017). Complex Segregation Analysis Provides Evidence for Autosomal Dominant Transmission in the Chinese Han Families with Ankylosing Spondylitis. BioMed Research International. 2017. 1–6. 1 indexed citations
3.
Chen, Yeda, et al.. (2016). Association Between Apolipoprotein B XbaI Polymorphism and Coronary Heart Disease in Han Chinese Population: A Meta-Analysis. Genetic Testing and Molecular Biomarkers. 20(6). 304–311. 7 indexed citations
4.
Luan, Yizhao, et al.. (2016). Identification of Risk Pathways and Functional Modules for Coronary Artery Disease Based on Genome-Wide SNP Data. Genomics Proteomics & Bioinformatics. 14(6). 349–356. 8 indexed citations
5.
Liu, Weiwei, Danli Kong, Zhenghui Liu, et al.. (2015). Association of DRD3 , COMT , and SLC6A4 Gene Polymorphisms with Type 2 Diabetes in Southern Chinese: A Hospital-Based Case–Control Study. Diabetes Technology & Therapeutics. 17(8). 580–586. 20 indexed citations
6.
Shlomai, Noa Ofek, Shaoqi Rao, & Sanjay Patole. (2015). Efficacy of interventions to improve hand hygiene compliance in neonatal units: a systematic review and meta-analysis. European Journal of Clinical Microbiology & Infectious Diseases. 34(5). 887–897. 52 indexed citations
7.
Liu, Zhenghui, Yuanlin Ding, Haiyan Pan, et al.. (2013). A Meta-Analysis of the Association between TNF-α −308G>A Polymorphism and Type 2 Diabetes Mellitus in Han Chinese Population. PLoS ONE. 8(3). e59421–e59421. 34 indexed citations
8.
Zuo, Xiaoyu, et al.. (2013). Advances in development of gene-gene interaction analy-sis methods based on SNP data: a review. Hereditas (Beijing). 35(12). 1331–1339. 1 indexed citations
9.
Lv, Xiaofei, Yuan Zhang, Shaoqi Rao, et al.. (2012). Lack of association between four SNPs in the SLC22A3-LPAL2-LPA gene cluster and coronary artery disease in a Chinese Han population: a case control study. Lipids in Health and Disease. 11(1). 128–128. 14 indexed citations
10.
Yu-bin, JI, Dayong Wang, Lan Lan, et al.. (2011). Phenotype–Genotype Correlation in 295 Chinese Deaf Subjects with Biallelic Causative Mutations in the GJB2 Gene. Genetic Testing and Molecular Biomarkers. 15(9). 619–625. 12 indexed citations
11.
Kong, Danli, et al.. (2011). Adaptation of the Audit of Diabetes-Dependent Quality of Life questionnaire to people with diabetes in China. Diabetes Research and Clinical Practice. 94(1). 45–52. 37 indexed citations
12.
Liu, Yimin, et al.. (2009). Association between polymorphisms inSOD1and noise-induced hearing loss in Chinese workers. Acta Oto-Laryngologica. 130(4). 477–486. 31 indexed citations
13.
Lan, Lan, Dongyi Han, Wei Shi, et al.. (2008). [Correlation between phonetically balanced maximum and pure tone auditory threshold among 106 auditory neuropathy patients].. PubMed. 43(5). 341–6.
14.
Li, Xia, Shaoqi Rao, Wei Jiang, et al.. (2006). Discovery of time-delayed gene regulatory networks based on temporal gene expression profiling. BMC Bioinformatics. 7(1). 26–26. 50 indexed citations
15.
Li, Xia, Tianwen Zhang, Wei Jiang, et al.. (2004). Reverse Engineering of Multiple Time-delayed Gene Regulatory Networks.. 81–88.
16.
Tian, Xiao‐Li, Mugen Liu, Ayse Anil Timur, et al.. (2004). Identification of an angiogenic factor that when mutated causes susceptibility to Klippel–Trenaunay syndrome. Nature. 427(6975). 640–645. 238 indexed citations
17.
Wang, Qing, Shaoqi Rao, Gong-Qing Shen, et al.. (2004). Premature Myocardial Infarction Novel Susceptibility Locus on Chromosome 1P34-36 Identified by Genomewide Linkage Analysis. The American Journal of Human Genetics. 74(2). 262–271. 161 indexed citations
18.
Chen, Shenghan, William G. Ondo, Shaoqi Rao, et al.. (2004). Genomewide Linkage Scan Identifies a Novel Susceptibility Locus for Restless Legs Syndrome on Chromosome 9p. The American Journal of Human Genetics. 74(5). 876–885. 141 indexed citations
19.
Rao, Shaoqi, Li Lin, Xia Li, et al.. (2003). Genetic linkage analysis of longitudinal hypertension phenotypes using three summary measures. BMC Genetics. 4(Suppl 1). S24–S24. 4 indexed citations
20.
Rao, Shaoqi & Shizhong Xu. (1998). Mapping quantitative trait loci for ordered categorical traits in four-way crosses. Heredity. 81(2). 214–224. 50 indexed citations

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.

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