Sungho Won

27.8k total citations · 1 hit paper
199 papers, 7.3k citations indexed

About

Sungho Won is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Sungho Won has authored 199 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Genetics, 61 papers in Molecular Biology and 31 papers in Epidemiology. Recurrent topics in Sungho Won's work include Genetic Associations and Epidemiology (62 papers), Asthma and respiratory diseases (23 papers) and Liver Disease Diagnosis and Treatment (19 papers). Sungho Won is often cited by papers focused on Genetic Associations and Epidemiology (62 papers), Asthma and respiratory diseases (23 papers) and Liver Disease Diagnosis and Treatment (19 papers). Sungho Won collaborates with scholars based in South Korea, United States and Puerto Rico. Sungho Won's co-authors include Sang‐Cheol Park, Jongsik Chun, Hana Yi, Kihyun Lee, Yong‐Joon Cho, Jae‐Hak Lee, Hyunsoo Na, Mincheol Kim, Robert C. Elston and Sujin Kim and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Sungho Won

181 papers receiving 7.3k 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.

Introducing EzTaxon-e: a prokaryotic 16S rRNA gene sequence database with phylotypes that represent uncultured species

2011 4.9k citations Hana Yi, Sungho Won et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sungho Won South Korea	26	4.5k	2.4k	1.2k	684	601	199	7.3k
Yogesh S. Shouche India	50	3.5k 0.8×	1.7k 0.7×	1.5k 1.3×	317 0.5×	644 1.1×	297	9.0k
Ye-Seul Kim South Korea	18	5.0k 1.1×	2.7k 1.1×	1.5k 1.2×	698 1.0×	662 1.1×	77	7.1k
Shinichi Sunagawa Switzerland	50	5.7k 1.2×	3.8k 1.6×	1.1k 0.9×	320 0.5×	788 1.3×	98	9.8k
Daniel R. Mende Germany	30	5.5k 1.2×	2.9k 1.2×	1.4k 1.2×	283 0.4×	265 0.4×	49	8.6k
Benli Chai United States	23	5.4k 1.2×	4.0k 1.7×	1.5k 1.3×	270 0.4×	340 0.6×	36	11.6k
Louise M. Judd Australia	46	5.7k 1.3×	2.5k 1.0×	1.3k 1.1×	674 1.0×	370 0.6×	113	12.3k
Chao Xie Singapore	15	5.4k 1.2×	3.1k 1.3×	2.1k 1.7×	248 0.4×	254 0.4×	18	10.3k
Steven D. Brown United States	60	3.7k 0.8×	1.9k 0.8×	986 0.8×	877 1.3×	622 1.0×	249	11.8k
Pierre-Alain Chaumeil Australia	11	6.4k 1.4×	5.3k 2.2×	948 0.8×	292 0.4×	439 0.7×	14	10.0k

Countries citing papers authored by Sungho Won

Since Specialization

Citations

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

Fields of papers citing papers by Sungho Won

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungho Won

This figure shows the co-authorship network connecting the top 25 collaborators of Sungho Won. A scholar is included among the top collaborators of Sungho Won 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 Sungho Won. Sungho Won 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, Ji‐Hyang, Eun‐Soon Shin, Hye Yoon Jang, et al.. (2024). Single-cell RNA sequencing reveals transcriptional changes in circulating immune cells from patients with severe asthma induced by biologics. Experimental & Molecular Medicine. 56(12). 2755–2762. 7 indexed citations

Rhee, Tae‐Min, Seokhun Yang, Heesun Lee, et al.. (2024). Combined Effect of Air Pollution and Genetic Risk on Incident Cardiovascular Diseases. Journal of the American Heart Association. 13(22). e033497–e033497. 6 indexed citations

Kim, Min Ji, Sang Jin Rhee, Dae Hyun Yoon, et al.. (2024). Genome-wide association study implicates the role of TBXAS1 in the pathogenesis of depressive symptoms among the Korean population. Translational Psychiatry. 14(1). 80–80. 2 indexed citations

Rhee, Sang Jin, Min Ji Kim, Hyun Ju Lee, et al.. (2024). Development and external validation of a logistic and a penalized logistic model using machine-learning techniques to predict suicide attempts: A multicenter prospective cohort study in Korea. Journal of Psychiatric Research. 176. 442–451. 1 indexed citations

Jin, Wencheng, Ara Ko, Yun Kyu Oh, et al.. (2024). Association between dyslipidemia and the risk of incident chronic kidney disease affected by genetic susceptibility: Polygenic risk score analysis. PLoS ONE. 19(4). e0299605–e0299605. 5 indexed citations

Seo, Eun Hyun, et al.. (2023). Automating Rey Complex Figure Test scoring using a deep learning-based approach: a potential large-scale screening tool for cognitive decline. Alzheimer s Research & Therapy. 15(1). 145–145. 8 indexed citations

Kwak, Soo Heon, Ji Won Yoon, Sanghun Lee, et al.. (2023). Genome-Wide Association Study on Longitudinal Change in Fasting Plasma Glucose in Korean Population. Diabetes & Metabolism Journal. 47(2). 255–266. 2 indexed citations

Lee, Younghwa, Jang Jae Lee, Jungsoo Gim, et al.. (2023). Heritability of cognitive abilities and regional brain structures in middle-aged to elderly East Asians. Cerebral Cortex. 33(10). 6051–6062.

Park, Jaehyun, Jeeyoung Kim, Esther Kim, Sungho Won, & Woo Jin Kim. (2022). Association between prenatal cadmium exposure and cord blood DNA methylation. Environmental Research. 212(Pt B). 113268–113268. 13 indexed citations

10.

Li, Donghe, Woo Jin Kim, Soriul Kim, et al.. (2022). Heritability Analyses Uncover Shared Genetic Effects of Lung Function and Change over Time. Genes. 13(7). 1261–1261. 1 indexed citations

11.

Kim, Jeeyoung, So Hyeon Bak, Ki Yeol Lee, et al.. (2022). Genome-Wide Association Study of Airway Wall Thickening in a Korean Chronic Obstructive Pulmonary Disease Cohort. Genes. 13(7). 1258–1258. 3 indexed citations

12.

Park, Jaehyun, Jeeyoung Kim, Esther Kim, Woo Jin Kim, & Sungho Won. (2021). Prenatal lead exposure and cord blood DNA methylation in the Korean Exposome Study. Environmental Research. 195. 110767–110767. 24 indexed citations

13.

An, Jin, Hae Yeon Kang, Woo Jin Kim, et al.. (2021). Genome-Wide Association Study of Korean Asthmatics: A Comparison With UK Asthmatics. Allergy Asthma and Immunology Research. 13(4). 609–609. 6 indexed citations

14.

Kim, Jihyun, Sung-Mi Choi, Jaehyun Park, et al.. (2021). Interactions between NCR⁺ILC3s and the Microbiome in the Airways Shape Asthma Severity. Immune Network. 21(4). e25–e25. 8 indexed citations

15.

Lee, Sanghun, Jessica Lasky‐Su, Christoph Lange, et al.. (2020). A novel locus for exertional dyspnoea in childhood asthma. European Respiratory Journal. 57(2). 2001224–2001224. 6 indexed citations

16.

Won, Sungho, et al.. (2019). Effect of population stratification on SNP‐by‐environment interaction. Genetic Epidemiology. 43(8). 1046–1055. 6 indexed citations

17.

Kim, Wonji, Soo Heon Kwak, & Sungho Won. (2019). Heritability estimation of dichotomous phenotypes using a liability threshold model on ascertained family‐based samples. Genetic Epidemiology. 43(7). 761–775. 3 indexed citations

18.

Won, Sungho, et al.. (2019). Uncertainty estimation of exposure factors for consumer products based on various sample sizes. Food and Chemical Toxicology. 134. 110874–110874. 1 indexed citations

19.

Kim, Sujin, Yoon Hee Cho, Inae Lee, et al.. (2018). Prenatal exposure to persistent organic pollutants and methylation of LINE-1 and imprinted genes in placenta: A CHECK cohort study. Environment International. 119. 398–406. 44 indexed citations

20.

Kim, Wonji, Dandi Qiao, Michael H. Cho, et al.. (2017). Selecting cases and controls for DNA sequencing studies using family histories of disease. Statistics in Medicine. 36(13). 2081–2099. 1 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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