Cue Hyunkyu Lee

618 total citations
9 papers, 301 citations indexed

About

Cue Hyunkyu Lee is a scholar working on Genetics, Surgery and Molecular Biology. According to data from OpenAlex, Cue Hyunkyu Lee has authored 9 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Cue Hyunkyu Lee's work include Genetic Associations and Epidemiology (5 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Cue Hyunkyu Lee is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Cue Hyunkyu Lee collaborates with scholars based in South Korea, United States and Sweden. Cue Hyunkyu Lee's co-authors include Buhm Han, Ji Sung Lee, Eleazar Eskin, Huwenbo Shi, Bogdan Paşaniuc, Song Cheol Kim, Hyang Sook Seol, Yeon Sook Choi, Je‐Keun Rhee and Suhwan Chang and has published in prestigious journals such as Nature Genetics, Bioinformatics and Genetics.

In The Last Decade

Cue Hyunkyu Lee

7 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cue Hyunkyu Lee South Korea	5	105	58	41	38	37	9	301
Lisa Rodgers United Kingdom	6	60 0.6×	100 1.7×	64 1.6×	28 0.7×	28 0.8×	18	304
Monica Grover United States	11	167 1.6×	118 2.0×	66 1.6×	47 1.2×	45 1.2×	20	388
Sungji Moon South Korea	12	50 0.5×	57 1.0×	40 1.0×	48 1.3×	28 0.8×	27	346
Zsolt B. Nagy Hungary	13	104 1.0×	98 1.7×	30 0.7×	18 0.5×	56 1.5×	25	407
Elizabeth Page United Kingdom	11	75 0.7×	90 1.6×	38 0.9×	19 0.5×	28 0.8×	22	356
Carlos Dávila Mexico	3	154 1.5×	80 1.4×	20 0.5×	25 0.7×	22 0.6×	3	313
Maja Barbalić Croatia	12	151 1.4×	81 1.4×	22 0.5×	55 1.4×	35 0.9×	28	453
Tracy S. Tylee United States	11	94 0.9×	91 1.6×	21 0.5×	30 0.8×	53 1.4×	23	458
Quenna Wong United States	10	157 1.5×	135 2.3×	17 0.4×	31 0.8×	44 1.2×	12	456
Renu Singh India	12	102 1.0×	121 2.1×	40 1.0×	61 1.6×	89 2.4×	56	448

Countries citing papers authored by Cue Hyunkyu Lee

Since Specialization

Citations

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

Fields of papers citing papers by Cue Hyunkyu Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cue Hyunkyu Lee. 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 Cue Hyunkyu Lee. The network helps show where Cue Hyunkyu Lee may publish in the future.

Co-authorship network of co-authors of Cue Hyunkyu Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Cue Hyunkyu Lee. A scholar is included among the top collaborators of Cue Hyunkyu Lee 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 Cue Hyunkyu Lee. Cue Hyunkyu Lee 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:

9 of 9 papers shown

1.

Lee, Cue Hyunkyu, Atlas Khan, Chen Wang, et al.. (2025). Liability threshold model-based disease risk prediction based on electronic health record phenotypes. Nature Genetics. 57(11). 2872–2881.

2.

Khan, Atlas, Lili Liu, Cue Hyunkyu Lee, et al.. (2024). Cross‐Phenotype Genome‐Wide Association Study on the Shared Genetic Susceptibility to Systemic Sclerosis and Primary Biliary Cholangitis. Arthritis & Rheumatology. 77(6). 727–739.

3.

Lee, Cue Hyunkyu, Huwenbo Shi, Bogdan Paşaniuc, Eleazar Eskin, & Buhm Han. (2020). PLEIO: a method to map and interpret pleiotropic loci with GWAS summary statistics. The American Journal of Human Genetics. 108(1). 36–48. 37 indexed citations

4.

Kang, Eun Yong, Cue Hyunkyu Lee, Nicholas A. Furlotte, et al.. (2018). An Association Mapping Framework To Account for Potential Sex Difference in Genetic Architectures. Genetics. 209(3). 685–698. 3 indexed citations

5.

Lee, Ho‐Su, Suk‐Kyun Yang, Myunghee Hong, et al.. (2018). An Intergenic Variant rs9268877 Between HLA-DRA and HLA-DRB Contributes to the Clinical Course and Long-term Outcome of Ulcerative Colitis. Journal of Crohn s and Colitis. 12(9). 1113–1121. 16 indexed citations

6.

Lee, Seunghoon, et al.. (2017). FOLD: a method to optimize power in meta-analysis of genetic association studies with overlapping subjects. Bioinformatics. 33(24). 3947–3954. 2 indexed citations

7.

Jung, Sun-Young, Cue Hyunkyu Lee, Hyang Sook Seol, et al.. (2016). Generation and molecular characterization of pancreatic cancer patient-derived xenografts reveals their heterologous nature. Oncotarget. 7(38). 62533–62546. 45 indexed citations

8.

Lee, Cue Hyunkyu, et al.. (2016). Comparison of Two Meta-Analysis Methods: Inverse-Variance-Weighted Average and Weighted Sum of Z-Scores. Genomics & Informatics. 14(4). 173–173. 188 indexed citations

9.

Kwak, Soo Heon, Yoon Ji Kim, Jeesoo Chae, et al.. (2015). Association of HLA Genotype and Fulminant Type 1 Diabetes in Koreans. Genomics & Informatics. 13(4). 126–126. 10 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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