Sung Chun

3.5k total citations · 1 hit paper
15 papers, 1.4k citations indexed

About

Sung Chun is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Sung Chun has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 8 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Sung Chun's work include Genetic Associations and Epidemiology (6 papers), Genomics and Rare Diseases (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Sung Chun is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Genomics and Rare Diseases (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Sung Chun collaborates with scholars based in United States, Germany and Australia. Sung Chun's co-authors include Justin C. Fay, Shamil Sunyaev, Chris Cotsapas, Nikolaos A. Patsopoulos, Philip L. De Jager, Damien C. Croteau‐Chonka, Benjamin A. Raby, P. Eline Slagboom, Victor Guryev and Amnon Koren and has published in prestigious journals such as Nature Genetics, PLoS ONE and Genome Research.

In The Last Decade

Sung Chun

13 papers receiving 1.3k 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.

Identification of deleterious mutations within three human genomes

2009 717 citations Sung Chun, Justin C. Fay Genome Research profile →

Peers

Sung Chun

GENET

MB

CR

IMMUN

PFM

Tristan Shaffer United States

Arthur Ko United States

Jessica X. Chong United States

Alvaro Barbeira United States

Karen Duran Netherlands

Catarina D. Campbell United States

Kerry K. Brown United States

Stephen Clayton United Kingdom

Scott Topper United States

Kevin Ha Canada

Tristan Shaffer United States

Sung Chun

744 ×0.9

GENET

748 ×1.0

MB

271 ×1.3

CR

77 ×1.0

IMMUN

124 ×1.7

PFM

Citations per year, relative to Sung Chun Sung Chun (= 1×) peers Tristan Shaffer

Countries citing papers authored by Sung Chun

Since Specialization

Citations

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

Fields of papers citing papers by Sung Chun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung Chun

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

15 of 15 papers shown

1.

Hayeck, Tristan J., George Busby, Sung Chun, et al.. (2023). Polygenic Risk Scores: Genomes to Risk Prediction. Clinical Chemistry. 69(6). 551–557.

2.

Gilliland, Frank D., et al.. (2023). ACDC: a general approach for detecting phenotype or exposure associated co-expression. Frontiers in Medicine. 10. 1118824–1118824.

3.

Chun, Sung, Sebastian Akle, Athanasios Teodosiadis, et al.. (2022). Leveraging pleiotropy to discover and interpret GWAS results for sleep-associated traits. PLoS Genetics. 18(12). e1010557–e1010557. 8 indexed citations

4.

Nazeen, Sumaiya, Daniel Lee, Huwenbo Shi, et al.. (2022). The missing link between genetic association and regulatory function. eLife. 11. 60 indexed citations

5.

Gasperi, Christiane, Sung Chun, Shamil Sunyaev, & Chris Cotsapas. (2021). Shared associations identify causal relationships between gene expression and immune cell phenotypes. Communications Biology. 4(1). 279–279. 2 indexed citations

6.

Chun, Sung, Maxim Imakaev, Daniel Hui, et al.. (2020). Non-parametric Polygenic Risk Prediction via Partitioned GWAS Summary Statistics. The American Journal of Human Genetics. 107(1). 46–59. 24 indexed citations

7.

Chun, Sung, Nikolaos A. Patsopoulos, Damien C. Croteau‐Chonka, et al.. (2017). Limited statistical evidence for shared genetic effects of eQTLs and autoimmune-disease-associated loci in three major immune-cell types. Nature Genetics. 49(4). 600–605. 139 indexed citations

8.

Savova, Virginia, Sung Chun, Mashaal Sohail, et al.. (2016). Genes with monoallelic expression contribute disproportionately to genetic diversity in humans. Nature Genetics. 48(3). 231–237. 41 indexed citations

9.

Francioli, Laurent C., Paz Polak, Amnon Koren, et al.. (2015). Genome-wide patterns and properties of de novo mutations in humans. Nature Genetics. 47(7). 822–826. 238 indexed citations

10.

Nikolskiy, Igor, Donald F. Conrad, Sung Chun, et al.. (2015). Using whole-genome sequences of the LG/J and SM/J inbred mouse strains to prioritize quantitative trait genes and nucleotides. BMC Genomics. 16(1). 415–415. 19 indexed citations

11.

Akle, Sebastian, Sung Chun, Daniel M. Jordan, & Christopher A. Cassa. (2015). Mitigating False-Positive Associations in Rare Disease Gene Discovery. Human Mutation. 36(10). 998–1003. 11 indexed citations

12.

Chun, Sung, Jevon Plunkett, Kari Teramo, Louis J. Muglia, & Justin C. Fay. (2013). Fine-Mapping an Association of FSHR with Preterm Birth in a Finnish Population. PLoS ONE. 8(10). e78032–e78032. 15 indexed citations

13.

Chun, Sung & Justin C. Fay. (2011). Evidence for Hitchhiking of Deleterious Mutations within the Human Genome. PLoS Genetics. 7(8). e1002240–e1002240. 66 indexed citations

14.

Chun, Sung & Justin C. Fay. (2009). Identification of deleterious mutations within three human genomes. Genome Research. 19(9). 1553–1561. 717 indexed citations breakdown →

15.

Hokama, Y., et al.. (1993). A survey of ciguatera: Assessment of Puako, Hawaii, associated with ciguatera toxin epidemics in humans. Journal of Clinical Laboratory Analysis. 7(3). 147–154. 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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