Minsun Song

680 total citations
11 papers, 159 citations indexed

About

Minsun Song is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Minsun Song has authored 11 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Molecular Biology and 1 paper in Surgery. Recurrent topics in Minsun Song's work include Genetic Associations and Epidemiology (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genetic and phenotypic traits in livestock (4 papers). Minsun Song is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genetic and phenotypic traits in livestock (4 papers). Minsun Song collaborates with scholars based in United States, South Korea and Austria. Minsun Song's co-authors include John D. Storey, Wei Min Hao, Dan L. Nicolae, Omar De la Cruz, Xiaoquan Wen, Barry L. Barnoski, Rhonda E. Schnur, Soma Das, Christa M. Lese and Jeffrey L. Jensen and has published in prestigious journals such as Nature Genetics, Bioinformatics and Scientific Reports.

In The Last Decade

Minsun Song

9 papers receiving 155 citations

Peers

Minsun Song

GENET

MB

SURGE

PPCH

EPIDE

Houda Karmous‐Benailly France

Michelle Steinraths Canada

Kaido Lepik Switzerland

Guillaume Jedraszak France

Elham Al Mardawi Saudi Arabia

Hidetoshi Kitajima Japan

Giovanna De Vecchi Italy

Kai Muru Estonia

Francesca Chiappe Italy

Nurlan Kerimov Estonia

Houda Karmous‐Benailly France

Minsun Song

96 ×0.8

GENET

61 ×0.9

MB

19 ×1.0

SURGE

33 ×2.1

PPCH

2 ×0.3

EPIDE

Citations per year, relative to Minsun Song Minsun Song (= 1×) peers Houda Karmous‐Benailly

Countries citing papers authored by Minsun Song

Since Specialization

Citations

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

Fields of papers citing papers by Minsun Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minsun Song

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Song, Minsun, et al.. (2024). Risk prediction and interaction analysis using polygenic risk score of type 2 diabetes in a Korean population. Scientific Reports. 14(1). 6790–6790. 2 indexed citations

2.

Song, Minsun, et al.. (2023). Correlation between metformin intake and prostate cancer. 5(3). 91–97. 1 indexed citations

3.

Song, Minsun, et al.. (2023). Structured time‐dependent inverse regression (STIR). Statistics in Medicine. 42(9). 1289–1307.

4.

Song, Minsun & Heeja Jung. (2021). Association between sleep quality and depression in the elderly after a stroke. The journal of the convergence on culture technology. 7(2). 297–302.

5.

Kim, Se Ik, Minsun Song, Sungyoung Lee, et al.. (2018). Development of Web-Based Nomograms to Predict Treatment Response and Prognosis of Epithelial Ovarian Cancer. Cancer Research and Treatment. 51(3). 1144–1155. 17 indexed citations

6.

Song, Minsun, William Wheeler, Neil E. Caporaso, Maria Teresa Landi, & Nilanjan Chatterjee. (2017). Using imputed genotype data in the joint score tests for genetic association and gene–environment interactions in case‐control studies. Genetic Epidemiology. 42(2). 146–155. 8 indexed citations

7.

Song, Minsun, Wei Min Hao, & John D. Storey. (2015). Testing for genetic associations in arbitrarily structured populations. Nature Genetics. 47(5). 550–554. 28 indexed citations

8.

Hao, Wei Min, Minsun Song, & John D. Storey. (2015). Probabilistic models of genetic variation in structured populations applied to global human studies. Bioinformatics. 32(5). 713–721. 22 indexed citations

9.

Cruz, Omar De la, et al.. (2009). Gene, region and pathway level analyses in whole‐genome studies. Genetic Epidemiology. 34(3). 222–231. 42 indexed citations

10.

Song, Minsun & Dan L. Nicolae. (2008). Restricted parameter space models for testing gene‐gene interaction. Genetic Epidemiology. 33(5). 386–393. 12 indexed citations

11.

Das, Soma, Christa M. Lese, Minsun Song, et al.. (2000). Partial Paternal Uniparental Disomy of Chromosome 6 in an Infant with Neonatal Diabetes, Macroglossia, and Craniofacial Abnormalities. The American Journal of Human Genetics. 67(6). 1586–1591. 27 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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