Kyung‐Won Hong

2.0k total citations
106 papers, 1.4k citations indexed

About

Kyung‐Won Hong is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kyung‐Won Hong has authored 106 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Genetics, 35 papers in Molecular Biology and 22 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kyung‐Won Hong's work include Genetic Associations and Epidemiology (33 papers), Nutrition, Genetics, and Disease (15 papers) and Liver Disease Diagnosis and Treatment (12 papers). Kyung‐Won Hong is often cited by papers focused on Genetic Associations and Epidemiology (33 papers), Nutrition, Genetics, and Disease (15 papers) and Liver Disease Diagnosis and Treatment (12 papers). Kyung‐Won Hong collaborates with scholars based in South Korea, Japan and United States. Kyung‐Won Hong's co-authors include Bermseok Oh, Hyun‐Seok Jin, Seong Beom Cho, Ji‐Eun Lim, Miho Inoue‐Murayama, Min Jin Go, Yu‐Jin Kwon, Alexander Weiß, Toshifumi Udono and Dong‐Hyuk Jung and has published in prestigious journals such as PLoS ONE, Hepatology and Scientific Reports.

In The Last Decade

Kyung‐Won Hong

101 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyung‐Won Hong South Korea 22 443 423 235 189 179 106 1.4k
B.K. Thelma India 32 768 1.7× 873 2.1× 176 0.7× 114 0.6× 371 2.1× 139 2.8k
Cong Lin China 17 693 1.6× 149 0.4× 195 0.8× 135 0.7× 237 1.3× 63 1.5k
Sara Hamon United States 29 681 1.5× 248 0.6× 293 1.2× 329 1.7× 132 0.7× 71 2.3k
Ian N. M. Day United Kingdom 16 478 1.1× 304 0.7× 168 0.7× 177 0.9× 304 1.7× 25 1.7k
Anna Benrick Sweden 26 453 1.0× 264 0.6× 344 1.5× 103 0.5× 320 1.8× 57 2.2k
Cristina Meazza Italy 26 370 0.8× 351 0.8× 425 1.8× 98 0.5× 154 0.9× 88 2.0k
Maria Nilsson Sweden 26 704 1.6× 448 1.1× 371 1.6× 54 0.3× 290 1.6× 45 1.8k
Joshua R. Cook United States 20 753 1.7× 299 0.7× 257 1.1× 70 0.4× 320 1.8× 40 1.8k
Emily Farber United States 22 1.1k 2.4× 223 0.5× 279 1.2× 371 2.0× 197 1.1× 35 1.9k

Countries citing papers authored by Kyung‐Won Hong

Since Specialization
Citations

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

Fields of papers citing papers by Kyung‐Won Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyung‐Won Hong. 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 Kyung‐Won Hong. The network helps show where Kyung‐Won Hong may publish in the future.

Co-authorship network of co-authors of Kyung‐Won Hong

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

All Works

20 of 20 papers shown
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Park, Jae Min, et al.. (2025). Genome-wide approach to study gene–nutrient intake interactions in type 2 diabetes mellitus in a large Korean cohort. Frontiers in Nutrition. 12. 1538813–1538813. 1 indexed citations
4.
Hong, Kyung‐Won, et al.. (2024). Genetic Variants Associated with Sensitive Skin: A Genome-Wide Association Study in Korean Women. Life. 14(11). 1352–1352.
5.
Hong, Kyung‐Won, et al.. (2024). The Genetic Variants Influencing Hypertension Prevalence Based on the Risk of Insulin Resistance as Assessed Using the Metabolic Score for Insulin Resistance (METS-IR). International Journal of Molecular Sciences. 25(23). 12690–12690. 1 indexed citations
6.
Lee, Dasom, et al.. (2023). Genome‐wide association and replication studies for handedness in a Korean community‐based cohort. Brain and Behavior. 13(9). e3121–e3121. 2 indexed citations
7.
Park, Jae Min, Bora Lee, Young‐Sang Kim, et al.. (2022). Calcium Supplementation, Risk of Cardiovascular Diseases, and Mortality: A Real-World Study of the Korean National Health Insurance Service Data. Nutrients. 14(12). 2538–2538. 10 indexed citations
8.
Kim, Chang Keun, Kyung‐Won Hong, Sooyeon Oh, et al.. (2022). Lung‐ and liver‐dominant phenotypes of Korean eight constitution medicine have different profiles of genotype associated with each organ function. Physiological Reports. 10(17). e15459–e15459. 6 indexed citations
9.
Kim, Jung Oh, et al.. (2022). Identifi cation of the Underlying Genetic Factors of Skin Aging in a Korean Population Study.. PubMed. 72(1). 63–80. 7 indexed citations
10.
Jung, Dong‐Hyuk, Kyung‐Won Hong, Byoungjin Park, & Yong‐Jae Lee. (2021). Dietary iron to total energy intake ratio and type 2 diabetes incidence in a longitudinal 12-year analysis of the Korean Genome and Epidemiology Cohort Study. European Journal of Nutrition. 60(8). 4453–4461. 4 indexed citations
11.
Hong, Kyung‐Won, et al.. (2015). Genomewide association study on chronic periodontitis in Korean population: results from the Yangpyeong health cohort. Journal Of Clinical Periodontology. 42(8). 703–710. 47 indexed citations
12.
Park, Clara Yongjoo, Sukyoung Jung, Mi Kyung Kim, et al.. (2015). Habitual dietary intake of β-carotene, vitamin C, folate, or vitamin E may interact with single nucleotide polymorphisms on brachial–ankle pulse wave velocity in healthy adults. European Journal of Nutrition. 55(2). 855–866. 6 indexed citations
13.
Hong, Kyung‐Won, Ji Eun Lim, Yasuharu Tabara, et al.. (2014). Identification of three novel genetic variations associated with electrocardiographic traits (QRS duration and PR interval) in East Asians. Human Molecular Genetics. 23(24). 6659–6667. 28 indexed citations
14.
Lim, Ji Eun, Hyeon-Ju Lee, So‐Yon Park, et al.. (2013). Silencing of Atp2b1 increases blood pressure through vasoconstriction. Journal of Hypertension. 31(8). 1575–1583. 22 indexed citations
15.
Jin, Hyun‐Seok, Kyung‐Won Hong, Ji‐Eun Lim, et al.. (2011). Association between renin–angiotensin–aldosterone system-related genes and blood pressure in a Korean population. Blood Pressure. 20(4). 204–210. 20 indexed citations
16.
Hong, Kyung‐Won, Hyun‐Seok Jin, Ji‐Eun Lim, & Bermseok Oh. (2011). Association of 20 potential ATP2B1-interacting genes with blood pressure in Koreans. Genes & Genomics. 33(3). 283–289. 1 indexed citations
17.
Hong, Kyung‐Won & Bermseok Oh. (2010). Overview of personalized medicine in the disease genomic era. BMB Reports. 43(10). 643–648. 30 indexed citations
18.
Hong, Kyung‐Won, Hyun‐Seok Jin, Yoon Shin Cho, et al.. (2009). Replication of the Wellcome Trust genome-wide association study on essential hypertension in a Korean population. Hypertension Research. 32(7). 570–574. 19 indexed citations
19.
Hong, Kyung‐Won, Hyun‐Seok Jin, Ji‐Eun Lim, et al.. (2009). RAPGEF1 gene variants associated with type 2 diabetes in the Korean population. Diabetes Research and Clinical Practice. 84(2). 117–122. 12 indexed citations
20.
Hong, Kyung‐Won, et al.. (2007). Research Articles : Molecular Relationship of Hylobates Based on Alu Elements of the Y Chromosome. Genes & Genomics. 29(3). 379–387. 4 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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