Jae Hoon Sul

13.5k total citations · 2 hit papers
32 papers, 3.1k citations indexed

About

Jae Hoon Sul is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Jae Hoon Sul has authored 32 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 17 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Jae Hoon Sul's work include Genetic Associations and Epidemiology (19 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Genetic and phenotypic traits in livestock (6 papers). Jae Hoon Sul is often cited by papers focused on Genetic Associations and Epidemiology (19 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Genetic and phenotypic traits in livestock (6 papers). Jae Hoon Sul collaborates with scholars based in United States, South Korea and United Kingdom. Jae Hoon Sul's co-authors include Eleazar Eskin, Nelson B. Freimer, Chiara Sabatti, Susan K. Service, Noah Zaitlen, Hyun Min Kang, Lana S. Martin, Farhad Hormozdiari, Buhm Han and Xiao Li and has published in prestigious journals such as Nature Communications, Nature Genetics and Bioinformatics.

In The Last Decade

Jae Hoon Sul

30 papers receiving 3.1k 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.

Variance component model to account for sample structure in genome-wide association studies

2010 1.9k citations Jae Hoon Sul, Eleazar Eskin et al. profile →
Colocalization of GWAS and eQTL Signals Detects Target Genes

2016 380 citations Farhad Hormozdiari, Martijn van de Bunt et al. The American Journal of Human Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jae Hoon Sul United States	16	1.9k	1.1k	787	256	123	32	3.1k
Sha Tang China	36	1.1k 0.6×	2.1k 1.9×	1.5k 1.8×	233 0.9×	164 1.3×	126	4.0k
Jean‐Baptiste Veyrieras France	20	1.2k 0.6×	1.5k 1.3×	764 1.0×	276 1.1×	101 0.8×	28	2.6k
M. Yerle France	30	2.1k 1.1×	1.4k 1.2×	860 1.1×	188 0.7×	188 1.5×	143	3.2k
Mengjin Zhu China	21	970 0.5×	1.0k 0.9×	511 0.6×	502 2.0×	277 2.3×	106	2.4k
Eva K.F. Chan United States	27	799 0.4×	975 0.9×	589 0.7×	245 1.0×	53 0.4×	57	2.5k
Namshin Kim South Korea	34	677 0.4×	1.5k 1.4×	860 1.1×	486 1.9×	195 1.6×	91	2.9k
Joshua Starmer United States	28	1.2k 0.6×	1.7k 1.6×	331 0.4×	356 1.4×	359 2.9×	43	3.1k
Andrew Kirby United States	23	1.9k 1.0×	1.2k 1.0×	719 0.9×	108 0.4×	203 1.7×	29	3.2k
Joël Gellin France	26	2.4k 1.3×	1.7k 1.5×	857 1.1×	255 1.0×	157 1.3×	82	3.7k
Yukiko Yamazaki Japan	38	1.3k 0.7×	2.7k 2.4×	758 1.0×	98 0.4×	93 0.8×	100	3.9k

Countries citing papers authored by Jae Hoon Sul

Since Specialization

Citations

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

Fields of papers citing papers by Jae Hoon Sul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Hoon Sul. 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 Jae Hoon Sul. The network helps show where Jae Hoon Sul may publish in the future.

Co-authorship network of co-authors of Jae Hoon Sul

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Hoon Sul. A scholar is included among the top collaborators of Jae Hoon Sul 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 Jae Hoon Sul. Jae Hoon Sul 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

Manipur, Ichcha, Jae Hoon Sul, Myung K. Shin, et al.. (2024). CoPheScan: phenome-wide association studies accounting for linkage disequilibrium. Nature Communications. 15(1). 5862–5862. 2 indexed citations

Lluri, Gentian, et al.. (2022). Polygenic risk scores of endo-phenotypes identify the effect of genetic background in congenital heart disease. Human Genetics and Genomics Advances. 3(3). 100112–100112. 5 indexed citations

Jew, Brandon, et al.. (2021). Rare variants in the endocytic pathway are associated with Alzheimer’s disease, its related phenotypes, and functional consequences. PLoS Genetics. 17(9). e1009772–e1009772. 5 indexed citations

Han, Buhm, et al.. (2021). Rare variants regulate expression of nearby individual genes in multiple tissues. PLoS Genetics. 17(6). e1009596–e1009596. 6 indexed citations

Jew, Brandon, Marcus Alvarez, Elior Rahmani, et al.. (2020). Accurate estimation of cell composition in bulk expression through robust integration of single-cell information. Nature Communications. 11(1). 1971–1971. 212 indexed citations

Hormozdiari, Farhad, Brandon Jew, Stephane E. Castel, et al.. (2019). Leveraging allelic imbalance to refine fine-mapping for eQTL studies. PLoS Genetics. 15(12). e1008481–e1008481. 21 indexed citations

Sul, Jae Hoon, Lana S. Martin, & Eleazar Eskin. (2018). Population structure in genetic studies: Confounding factors and mixed models. PLoS Genetics. 14(12). e1007309–e1007309. 132 indexed citations

Duong, Dat, Sagi Snir, Eun Yong Kang, et al.. (2017). Applying meta-analysis to genotype-tissue expression data from multiple tissues to identify eQTLs and increase the number of eGenes. Bioinformatics. 33(14). i67–i74. 14 indexed citations

Hormozdiari, Farhad, Martijn van de Bunt, Ayellet V. Segrè, et al.. (2016). Colocalization of GWAS and eQTL Signals Detects Target Genes. The American Journal of Human Genetics. 99(6). 1245–1260. 380 indexed citations breakdown →

10.

Han, Buhm, Dat Duong, Jae Hoon Sul, et al.. (2016). A general framework for meta-analyzing dependent studies with overlapping subjects in association mapping. Human Molecular Genetics. 25(9). 1857–1866. 21 indexed citations

11.

Bae, Joon Seol, Hyun Sub Cheong, Jeong-Meen Seo, et al.. (2016). A genome-wide association analysis of chromosomal aberrations and Hirschsprung disease. Translational research. 177. 31–40.e6. 9 indexed citations

12.

Sul, Jae Hoon, Brian E. Cade, Michael H. Cho, et al.. (2016). Increasing Generality and Power of Rare-Variant Tests by Utilizing Extended Pedigrees. The American Journal of Human Genetics. 99(4). 846–859. 11 indexed citations

13.

Sul, Jae Hoon, Wen-Yun Yang, Emrah Kostem, et al.. (2016). Accounting for Population Structure in Gene-by-Environment Interactions in Genome-Wide Association Studies Using Mixed Models. PLoS Genetics. 12(3). e1005849–e1005849. 36 indexed citations

14.

Sul, Jae Hoon, Towfique Raj, Simone de Jong, et al.. (2015). Accurate and Fast Multiple-Testing Correction in eQTL Studies. The American Journal of Human Genetics. 96(6). 857–868. 20 indexed citations

15.

Sul, Jae Hoon, et al.. (2014). Effectively identifying regulatory hotspots while capturing expression heterogeneity in gene expression studies. Genome biology. 15(4). r61–r61. 23 indexed citations

16.

Kim, Jeong‐Hyun, Hyun Sub Cheong, Jae Hoon Sul, et al.. (2014). A Genome-Wide Association Study Identifies Potential Susceptibility Loci for Hirschsprung Disease. PLoS ONE. 9(10). e110292–e110292. 35 indexed citations

17.

Sul, Jae Hoon, et al.. (2013). School Zone Safety Improvement Using Smart Bollard. Journal of the Korean Society of Civil Engineers. 33(1). 251–259.

18.

Sul, Jae Hoon, Buhm Han, Lucía Conde, et al.. (2013). Rare Variant Association Testing Under Low-Coverage Sequencing. Genetics. 194(3). 769–779. 11 indexed citations

19.

Miller, Michael B., Saonli Basu, Julie M. Cunningham, et al.. (2012). The Minnesota Center for Twin and Family Research Genome-Wide Association Study. Twin Research and Human Genetics. 15(6). 767–774. 53 indexed citations

20.

Sul, Jae Hoon, Buhm Han, & Eleazar Eskin. (2011). Increasing Power of Groupwise Association Test with Likelihood Ratio Test. Journal of Computational Biology. 18(11). 1611–1624. 7 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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