Sek Won Kong

9.1k total citations · 1 hit paper
84 papers, 5.7k citations indexed

About

Sek Won Kong is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Sek Won Kong has authored 84 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 27 papers in Genetics and 13 papers in Epidemiology. Recurrent topics in Sek Won Kong's work include Genomics and Rare Diseases (15 papers), Autism Spectrum Disorder Research (10 papers) and Genomic variations and chromosomal abnormalities (8 papers). Sek Won Kong is often cited by papers focused on Genomics and Rare Diseases (15 papers), Autism Spectrum Disorder Research (10 papers) and Genomic variations and chromosomal abnormalities (8 papers). Sek Won Kong collaborates with scholars based in United States, South Korea and Japan. Sek Won Kong's co-authors include William T. Pu, Isaac S. Kohane, Steven A. Greenberg, Peter J. Park, Qing Ma, Aibin He, Sadakatsu Ikeda, Seigo Izumo, Egbert Bisping and Jun Lü and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Sek Won Kong

81 papers receiving 5.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Altered microRNA expression in human heart disease

2007 518 citations Sek Won Kong, Egbert Bisping et al. profile →

Peers

Sek Won Kong

EPIDE

GENET

CCM

Wei Huang China

Robin J. Leach United States

Kouichi Ozaki Japan

Weinian Shou United States

Giuseppe Damante Italy

William J. Craigen United States

Michael P. Morley United States

Marcus Krüger Germany

Alexandre F.R. Stewart Canada

Simon Koplev United States

Wei Huang China

Sek Won Kong

3.4k ×0.9

558 ×0.6

365 ×0.4

EPIDE

1.5k ×1.7

GENET

802 ×1.0

CCM

Citations per year, relative to Sek Won Kong Sek Won Kong (= 1×) peers Wei Huang

Countries citing papers authored by Sek Won Kong

Since Specialization

Citations

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

Fields of papers citing papers by Sek Won Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sek Won Kong. 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 Sek Won Kong. The network helps show where Sek Won Kong may publish in the future.

Co-authorship network of co-authors of Sek Won Kong

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

All Works

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20 of 20 papers shown

Lee, In‐Hee, et al.. (2025). Artificial intelligence in pediatric healthcare: current applications, potential, and implementation considerations. Clinical and Experimental Pediatrics. 68(9). 641–651.

Mohammed, Akram, Sek Won Kong, In‐Hee Lee, et al.. (2024). GSDMB/ORMDL3 Rare/Common Variants Are Associated with Inhaled Corticosteroid Response among Children with Asthma. Genes. 15(4). 420–420. 2 indexed citations

Yamazaki, Yutaka, et al.. (2024). Selective Pyk2 inhibition enhances bone restoration through SCARA5-mediated bone marrow remodeling in ovariectomized mice. Cell Communication and Signaling. 22(1). 561–561.

Lee, In‐Hee, Douglas I. Walker, Matthew Ryan Smith, et al.. (2023). Association between Neuroligin-1 polymorphism and plasma glutamine levels in individuals with autism spectrum disorder. EBioMedicine. 95. 104746–104746. 4 indexed citations

Lee, Ji‐Won, In‐Hee Lee, Yunqing Liu, et al.. (2023). Centrosome clustering control in osteoclasts through CCR5-mediated signaling. Scientific Reports. 13(1). 20813–20813. 3 indexed citations

Lee, In‐Hee, et al.. (2022). Quantitative trait locus analysis for endophenotypes reveals genetic substrates of core symptom domains and neurocognitive function in autism spectrum disorder. Translational Psychiatry. 12(1). 407–407. 6 indexed citations

Chung, Ming Kei, Matthew Ryan Smith, Douglas I. Walker, et al.. (2021). Plasma metabolomics of autism spectrum disorder and influence of shared components in proband families. PubMed. 1(1). osab004–osab004. 6 indexed citations

Agur, Timna, Johannes Wedel, Sayantan Bose, et al.. (2021). Inhibition of mevalonate metabolism by statins augments the immunoregulatory phenotype of vascular endothelial cells and inhibits the costimulation of CD4+ T cells. American Journal of Transplantation. 22(3). 947–954. 6 indexed citations

Lee, In‐Hee, et al.. (2021). WEScover: selection between clinical whole exome sequencing and gene panel testing. BMC Bioinformatics. 22(1). 259–259. 4 indexed citations

10.

Kong, Sek Won, et al.. (2020). A two-step gas chromatography-tandem mass spectrometry method for measurement of multiple environmental pollutants in human plasma. Environmental Science and Pollution Research. 28(3). 3266–3279. 4 indexed citations

11.

Palmer, Nathan, Jocelyn A. Silvester, Jessica J. Lee, et al.. (2019). Concordance between gene expression in peripheral whole blood and colonic tissue in children with inflammatory bowel disease. PLoS ONE. 14(10). e0222952–e0222952. 33 indexed citations

12.

Kong, Sek Won, In‐Hee Lee, Xuanshi Liu, Joel N. Hirschhorn, & Kenneth D. Mandl. (2018). Measuring coverage and accuracy of whole-exome sequencing in clinical context. Genetics in Medicine. 20(12). 1617–1626. 37 indexed citations

13.

Feiglin, Ariel, Bryce K. Allen, Isaac S. Kohane, & Sek Won Kong. (2017). Comprehensive Analysis of Tissue-wide Gene Expression and Phenotype Data Reveals Tissues Affected in Rare Genetic Disorders. Cell Systems. 5(2). 140–148.e2. 9 indexed citations

14.

Tylee, Daniel S., Jonathan Hess, Thomas P. Quinn, et al.. (2016). Blood transcriptomic comparison of individuals with and without autism spectrum disorder: A combined‐samples mega‐analysis. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 174(3). 181–201. 37 indexed citations

15.

Kong, Sek Won, In‐Hee Lee, Ignaty Leshchiner, et al.. (2014). Summarizing polygenic risks for complex diseases in a clinical whole-genome report. Genetics in Medicine. 17(7). 536–544. 30 indexed citations

16.

Vassy, Jason L., Denise Lautenbach, Heather M. McLaughlin, et al.. (2014). The MedSeq Project: a randomized trial of integrating whole genome sequencing into clinical medicine. Trials. 15(1). 85–85. 102 indexed citations

17.

Campbell, Malcolm, Isaac S. Kohane, & Sek Won Kong. (2013). Pathway-based outlier method reveals heterogeneous genomic structure of autism in blood transcriptome. BMC Medical Genomics. 6(1). 34–34. 20 indexed citations

18.

He, Aibin, Sek Won Kong, Qing Ma, & William T. Pu. (2011). Co-occupancy by multiple cardiac transcription factors identifies transcriptional enhancers active in heart. Proceedings of the National Academy of Sciences. 108(14). 5632–5637. 273 indexed citations

19.

Sangster, Todd A., Amity M. Wilczek, Etsuko Watanabe, et al.. (2007). Phenotypic Diversity and Altered Environmental Plasticity in Arabidopsis thaliana with Reduced Hsp90 Levels. PLoS ONE. 2(7). e648–e648. 128 indexed citations

20.

McMullen, Julie R., Tetsuo Shioi, Li Zhang, et al.. (2004). The Insulin-like Growth Factor 1 Receptor Induces Physiological Heart Growth via the Phosphoinositide 3-Kinase(p110α) Pathway. Journal of Biological Chemistry. 279(6). 4782–4793. 330 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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