Jae Hoon Sul
- Genetics top 0.5%
- Molecular Biology top 10%
- Plant Science top 5%
- Cancer Research top 10%
- Immunology
- Co-authors
- Eleazar EskinNelson B. FreimerChiara SabattiSusan K. ServiceNoah ZaitlenHyun Min KangLana S. MartinFarhad Hormozdiari
- Topics
- Genetic Associations and Epidemiology (19 papers)Genetic Mapping and Diversity in Plants and Animals (11 papers)Genetic and phenotypic traits in livestock (6 papers)
- Cited by
- GeneticsPlant ScienceCancer Research
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Jae Hoon Sul
30 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Genetics 1.9k
- Molecular Biology 1.1k
- Plant Science 787
- Cancer Research 256
- Immunology 123
Countries citing papers authored by Jae Hoon Sul
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 212 | |
| 6 | 19 | |
| 7 | 21 | |
| 8 | 132 | |
| 9 | 14 | |
| 10 | 11 | |
| 11 | 9 | |
| 12 | 36 | |
| 13 | Colocalization of GWAS and eQTL Signals Detects Target Genesbreakdown → | 380 |
| 14 | 21 | |
| 15 | 20 | |
| 16 | 23 | |
| 17 | 35 | |
| 18 | 53 | |
| 19 | 7 | |
| 20 | Variance component model to account for sample structure in genome-wide association studiesbreakdown → | 1880 |
About Jae Hoon Sul
Jae Hoon Sul is a scholar working on Genetics, Molecular Biology and Health Information Management, having authored 32 papers that have together received 3.1k indexed citations. Recurring topics across this 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). The work is most often cited by research in Genetics (1.9k citations), Plant Science (787 citations) and Cancer Research (256 citations). Jae Hoon Sul has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent 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 Ayellet V. Segrè. Their work appears in journals such as Nature Communications, Nature Genetics and Bioinformatics.
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.