Yeunjoo E. Song

9.5k total citations
45 papers, 529 citations indexed

About

Yeunjoo E. Song is a scholar working on Genetics, Molecular Biology and Ophthalmology. According to data from OpenAlex, Yeunjoo E. Song has authored 45 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 10 papers in Molecular Biology and 7 papers in Ophthalmology. Recurrent topics in Yeunjoo E. Song's work include Genetic Associations and Epidemiology (22 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Genetic and phenotypic traits in livestock (7 papers). Yeunjoo E. Song is often cited by papers focused on Genetic Associations and Epidemiology (22 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Genetic and phenotypic traits in livestock (7 papers). Yeunjoo E. Song collaborates with scholars based in United States, Germany and South Korea. Yeunjoo E. Song's co-authors include Robert C. Elston, Catherine M. Stein, Jonathan L. Haines, Jessica N. Cooke Bailey, Robert P. Igo, Anthony P. Khawaja, Peng T. Khaw, Robert A. Scott, Ching‐Yu Cheng and Pirro G. Hysi and has published in prestigious journals such as Nature Genetics, Bioinformatics and PLoS ONE.

In The Last Decade

Yeunjoo E. Song

40 papers receiving 523 citations

Peers

Yeunjoo E. Song
Chris Pappas United States
Wan-Ting Tay Singapore
E. Schifferdecker Germany
Jane Z. Kuo United States
Aditi Gupta India
C. Thivolet France
Berta Almoguera Spain
J.L. Dufier France
Frances Wu United States
Nataliya Lenchik United States
Chris Pappas United States
Yeunjoo E. Song
Citations per year, relative to Yeunjoo E. Song Yeunjoo E. Song (= 1×) peers Chris Pappas

Countries citing papers authored by Yeunjoo E. Song

Since Specialization
Citations

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

Fields of papers citing papers by Yeunjoo E. Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeunjoo E. Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yeunjoo E. Song. A scholar is included among the top collaborators of Yeunjoo E. 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 Yeunjoo E. Song. Yeunjoo E. Song 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.
Gorski, Mathias, Michelle Grunin, Bruno Frøhlich, et al.. (2025). Diverse-Ancestry GWAS of Age-Related Macular Degeneration on 16,108 Examined Cases and 18,038 Controls. Investigative Ophthalmology & Visual Science. 66(13). 51–51.
2.
Lee, Haeok, et al.. (2025). Dementia prevalence and risk factors in people with and without HIV in Malawi: A medical record review. Alzheimer s & Dementia. 21(3). e70009–e70009.
3.
Grunin, Michelle, Robert P. Igo, Yeunjoo E. Song, et al.. (2024). Identifying X-chromosome variants associated with age-related macular degeneration. Human Molecular Genetics. 33(24). 2085–2093. 2 indexed citations
4.
Lynn, Audrey, Kristy Miskimen, Yeunjoo E. Song, et al.. (2024). Genome‐wide association studies identify novel loci in rapidly progressive Alzheimer's disease. Alzheimer s & Dementia. 20(3). 2034–2046. 5 indexed citations
5.
Celis, Katrina, Larry D. Adams, Takiyah D. Starks, et al.. (2023). Neuropsychiatric features in a multi‐ethnic population with Alzheimer disease and mild cognitive impairment. International Journal of Geriatric Psychiatry. 38(9). e5992–e5992. 2 indexed citations
6.
Caliebe, Amke, Fasil Tekola‐Ayele, Burcu F. Darst, et al.. (2022). Including diverse and admixed populations in genetic epidemiology research. Genetic Epidemiology. 46(7). 347–371. 26 indexed citations
7.
Zöller, Bengt, Mirnabi Pirouzifard, Peter J. Svensson, et al.. (2021). Familial Segregation of Venous Thromboembolism in Sweden: A Nationwide Family Study of Heritability and Complex Segregation Analysis. Journal of the American Heart Association. 10(24). e020323–e020323. 7 indexed citations
8.
Khawaja, Anthony P., Jessica N. Cooke Bailey, Nicholas J. Wareham, et al.. (2018). Genome-wide analyses identify 68 new loci associated with intraocular pressure and improve risk prediction for primary open-angle glaucoma. Nature Genetics. 50(6). 778–782. 179 indexed citations
9.
Song, Yeunjoo E., Nathan Morris, & Catherine M. Stein. (2016). Structural equation modeling with latent variables for longitudinal blood pressure traits using general pedigrees. BMC Proceedings. 10(S7). 303–307. 8 indexed citations
10.
Park, Haeil, Xiaoyin Li, Yeunjoo E. Song, Karen He, & Xiaofeng Zhu. (2016). Multivariate Analysis of Anthropometric Traits Using Summary Statistics of Genome-Wide Association Studies from GIANT Consortium. PLoS ONE. 11(10). e0163912–e0163912. 17 indexed citations
11.
Song, Yeunjoo E. & Robert C. Elston. (2013). The null distribution of likelihood-ratio statistics in the conditional-logistic linkage model. Frontiers in Genetics. 4. 244–244. 2 indexed citations
12.
Song, Yeunjoo E., et al.. (2011). Interval Estimation of Familial Correlations from Pedigrees. Statistical Applications in Genetics and Molecular Biology. 10(1). Article 11–Article 11. 7 indexed citations
13.
Sun, Xiangqing, Tao Feng, Yeunjoo E. Song, Robert C. Elston, & Xiaofeng Zhu. (2009). Comparison of a unified analysis approach for family and unrelated samples with the transmission-disequilibrium test to study associations of hypertension in the Framingham Heart Study. BMC Proceedings. 3(S7). S22–S22. 2 indexed citations
14.
Dazard, Jean‐Eudes, et al.. (2007). Studying genetic determinants of natural variation in human gene expression using Bayesian ANOVA. BMC Proceedings. 1(S1). S115–S115. 1 indexed citations
15.
Song, Yeunjoo E., et al.. (2006). Prediction of Empirical p Values from Asymptotic p Values for Conditional Logistic Affected Relative Pair Linkage Analysis. Human Heredity. 61(1). 45–54. 4 indexed citations
16.
Wang, Tao, et al.. (2005). Linkage analysis of alcohol dependence using both affected and discordant sib pairs. BMC Genetics. 6(S1). S36–S36. 7 indexed citations
17.
18.
Stein, Catherine M., Yeunjoo E. Song, Robert C. Elston, et al.. (2003). Structural equation model-based genome scan for the metabolic syndrome. BMC Genetics. 4(Suppl 1). S99–S99. 29 indexed citations
19.
Jun, Gyungah, Yeunjoo E. Song, Catherine M. Stein, & Sudha K. Iyengar. (2003). An autosome-wide search using longitudinal data for loci linked to type 2 diabetes progression. BMC Genetics. 4(Suppl 1). S8–S8. 8 indexed citations
20.
Daley, Denise, et al.. (2003). Interaction of gender and body mass index (BMI) reveals evidence of linkage for hypertension in the Framingham Heart Study. BMC Genetics. 4(Suppl 1). S45–S45. 6 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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