Miaoxin Li

11.1k total citations · 2 hit papers
112 papers, 2.9k citations indexed

About

Miaoxin Li is a scholar working on Genetics, Molecular Biology and Orthopedics and Sports Medicine. According to data from OpenAlex, Miaoxin Li has authored 112 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Genetics, 52 papers in Molecular Biology and 14 papers in Orthopedics and Sports Medicine. Recurrent topics in Miaoxin Li's work include Genetic Associations and Epidemiology (43 papers), Bioinformatics and Genomic Networks (16 papers) and Genetic Mapping and Diversity in Plants and Animals (15 papers). Miaoxin Li is often cited by papers focused on Genetic Associations and Epidemiology (43 papers), Bioinformatics and Genomic Networks (16 papers) and Genetic Mapping and Diversity in Plants and Animals (15 papers). Miaoxin Li collaborates with scholars based in China, Hong Kong and United States. Miaoxin Li's co-authors include Pak C. Sham, Stacey S. Cherny, Johnny S. H. Kwan, Hongsheng Gui, Hong‐Wen Deng, Suying Bao, You‐Qiang Song, Shu‐Leong Ho, Shu‐Feng Lei and Fei‐Yan Deng and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Miaoxin Li

109 papers receiving 2.9k citations

Hit Papers

Evaluating the effective numbers of independent tests and... 2011 2026 2016 2021 2011 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miaoxin Li China 26 1.3k 1.3k 309 249 207 112 2.9k
Fan Ye China 25 1.4k 1.0× 721 0.6× 266 0.9× 190 0.8× 149 0.7× 114 2.4k
Samuel Deutsch United States 32 2.5k 1.9× 1.5k 1.2× 269 0.9× 113 0.5× 143 0.7× 63 4.1k
Akiko Murayama Japan 31 1.8k 1.3× 680 0.5× 155 0.5× 131 0.5× 244 1.2× 63 3.6k
Ioannis Georgiou Greece 36 1.5k 1.1× 1.1k 0.9× 180 0.6× 322 1.3× 189 0.9× 231 4.4k
Janna Saarela Finland 34 1.5k 1.2× 662 0.5× 74 0.2× 377 1.5× 296 1.4× 89 4.0k
Maija Wessman Finland 32 742 0.6× 539 0.4× 221 0.7× 196 0.8× 333 1.6× 83 2.8k
Ron Korstanje United States 32 1.3k 1.0× 998 0.8× 201 0.7× 328 1.3× 442 2.1× 114 3.3k
Sara L. Pulit Netherlands 16 641 0.5× 703 0.6× 67 0.2× 147 0.6× 211 1.0× 28 1.9k
Raymond J. Rodgers Australia 42 1.9k 1.5× 1.3k 1.0× 88 0.3× 354 1.4× 279 1.3× 137 5.9k
Jin Hee Park South Korea 23 971 0.7× 301 0.2× 57 0.2× 145 0.6× 114 0.6× 59 2.0k

Countries citing papers authored by Miaoxin Li

Since Specialization
Citations

This map shows the geographic impact of Miaoxin Li'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 Miaoxin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miaoxin Li more than expected).

Fields of papers citing papers by Miaoxin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miaoxin Li. 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 Miaoxin Li. The network helps show where Miaoxin Li may publish in the future.

Co-authorship network of co-authors of Miaoxin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Miaoxin Li. A scholar is included among the top collaborators of Miaoxin Li 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 Miaoxin Li. Miaoxin Li 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.
Chen, Shiwei, et al.. (2025). Application of explainable machine learning in the production of pullulan by Aureobasidium pullulans CGMCCNO.7055. International Journal of Biological Macromolecules. 308(Pt 2). 142374–142374. 1 indexed citations
3.
Liu, Zhi, Zhi Xie, & Miaoxin Li. (2024). Comprehensive and deep evaluation of structural variation detection pipelines with third-generation sequencing data. Genome biology. 25(1). 188–188. 7 indexed citations
4.
Qi, Weiwei, Dan Zhu, Xiaoqiong Gu, et al.. (2023). Pigment Epithelium-Derived Factor, a Novel Adipokine, Contributes to Gestational Diabetes Mellitus. The Journal of Clinical Endocrinology & Metabolism. 109(1). e356–e369. 3 indexed citations
5.
Liu, Zipeng, Yiming Qin, Tian Wu, et al.. (2023). Reciprocal causation mixture model for robust Mendelian randomization analysis using genome-scale summary data. Nature Communications. 14(1). 1131–1131. 8 indexed citations
6.
Jiang, Lin, Hui Jiang, Sheng Dai, et al.. (2021). Deviation from baseline mutation burden provides powerful and robust rare-variants association test for complex diseases. Nucleic Acids Research. 50(6). e34–e34. 5 indexed citations
7.
Jiang, Hui, Jie Xie, Jingxin Pan, et al.. (2021). Case report: exome sequencing achieved a definite diagnosis in a Chinese family with muscle atrophy. BMC Neurology. 21(1). 96–96.
8.
Li, Ge, Bao Zhang, Liyang Shi, et al.. (2021). An NT-3-releasing bioscaffold supports the formation of TrkC-modified neural stem cell-derived neural network tissue with efficacy in repairing spinal cord injury. Bioactive Materials. 6(11). 3766–3781. 52 indexed citations
9.
Huang, Dandan, Xianfu Yi, Yao Zhou, et al.. (2020). Ultrafast and scalable variant annotation and prioritization with big functional genomics data. Genome Research. 30(12). 1789–1801. 20 indexed citations
10.
Hsu, Jacob Shujui, Ruizhong Zhang, Fanny Yeung, et al.. (2019). Cancer gene mutations in congenital pulmonary airway malformation patients. ERJ Open Research. 5(1). 196–2018. 15 indexed citations
11.
Li, Miaoxin, et al.. (2016). Comparative analysis of platelet 5-HT concentrations in Han and Li patients with post-traumatic stress disorder. Genetics and Molecular Research. 15(3). 6 indexed citations
12.
Posthuma, Daniëlle, et al.. (2016). Multivariate Gene-Based Association Test on Family Data in MGAS. Behavior Genetics. 46(5). 718–725. 1 indexed citations
13.
Li, Miaoxin, et al.. (2014). PMCA4 (ATP2B4) Mutation in Familial Spastic Paraplegia. PLoS ONE. 9(8). e104790–e104790. 27 indexed citations
14.
Li, Miaoxin, Johnny S. H. Kwan, & Pak C. Sham. (2012). HYST: A Hybrid Set-Based Test for Genome-wide Association Studies, with Application to Protein-Protein Interaction-Based Association Analysis. The American Journal of Human Genetics. 91(3). 478–488. 62 indexed citations
15.
Li, Miaoxin, Hongsheng Gui, Johnny S. H. Kwan, & Pak C. Sham. (2011). GATES: A Rapid and Powerful Gene-Based Association Test Using Extended Simes Procedure. The American Journal of Human Genetics. 88(3). 283–293. 256 indexed citations
16.
Li, Miaoxin, Pak C. Sham, Stacey S. Cherny, & You‐Qiang Song. (2010). A Knowledge-Based Weighting Framework to Boost the Power of Genome-Wide Association Studies. PLoS ONE. 5(12). e14480–e14480. 32 indexed citations
17.
Li, Miaoxin, et al.. (2005). PhD: a web database application for phenotype data management. Computer applications in the biosciences. 21(16). 3443–3444. 8 indexed citations
18.
Lei, Shu‐Feng, et al.. (2004). The −1997 G/T Polymorphism in the COLIA1 Upstream Regulatory Region is Associated with Hip Bone Mineral Density (BMD) in Chinese Nuclear Families. Calcified Tissue International. 76(2). 107–112. 21 indexed citations
19.
Zhang, Yuanyuan, Hong‐Wen Deng, Fu‐Hua Xu, et al.. (2004). Lack of association between the Hind III RFLP of the osteocalcin (BGP) gene and bone mineral density (BMD) in healthy pre- and postmenopausal Chinese women. Journal of Bone and Mineral Metabolism. 22(3). 264–269. 15 indexed citations
20.
Deng, Fei‐Yan, Miaoxin Li, Shu‐Feng Lei, et al.. (2003). Tests of linkage and association of the COL1A2 gene with bone phenotypes’ variation in Chinese nuclear families. Bone. 33(4). 614–619. 23 indexed citations

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