Yoonsu Cho

2.9k total citations
36 papers, 787 citations indexed

About

Yoonsu Cho is a scholar working on Epidemiology, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Yoonsu Cho has authored 36 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 10 papers in Molecular Biology and 10 papers in Nutrition and Dietetics. Recurrent topics in Yoonsu Cho's work include Liver Disease Diagnosis and Treatment (7 papers), Nutritional Studies and Diet (7 papers) and Diet, Metabolism, and Disease (6 papers). Yoonsu Cho is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Nutritional Studies and Diet (7 papers) and Diet, Metabolism, and Disease (6 papers). Yoonsu Cho collaborates with scholars based in South Korea, United Kingdom and United States. Yoonsu Cho's co-authors include Min‐Jeong Shin, George Davey Smith, So-Youn Shin, Ji Hyung Chung, Ji‐Young Moon, Hyun Ju, Caroline L. Relton, Seung-Min Lee, Sungho Won and Gibran Hemani and has published in prestigious journals such as Nature Communications, PLoS ONE and Nature Reviews Genetics.

In The Last Decade

Yoonsu Cho

36 papers receiving 777 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoonsu Cho South Korea 17 186 160 154 137 128 36 787
Lars Retterstøl Norway 15 200 1.1× 177 1.1× 124 0.8× 89 0.6× 110 0.9× 33 874
Jing Cheng China 19 215 1.2× 183 1.1× 157 1.0× 74 0.5× 224 1.8× 48 907
Gwanpyo Koh South Korea 17 217 1.2× 127 0.8× 226 1.5× 97 0.7× 348 2.7× 57 939
Barbara Zubelewicz‐Szkodzińska Poland 16 204 1.1× 107 0.7× 200 1.3× 47 0.3× 111 0.9× 86 920
José Firmino Nogueira Neto Brazil 17 201 1.1× 130 0.8× 309 2.0× 72 0.5× 133 1.0× 55 966
Jamal Ahmad India 19 249 1.3× 103 0.6× 212 1.4× 97 0.7× 378 3.0× 50 1.1k
Olga Portolés Spain 14 129 0.7× 79 0.5× 195 1.3× 152 1.1× 96 0.8× 36 660
Marisa Guillén Spain 17 226 1.2× 130 0.8× 205 1.3× 157 1.1× 288 2.3× 58 1.2k
M. A. Darenskaya Russia 16 191 1.0× 143 0.9× 254 1.6× 89 0.6× 159 1.2× 167 1.1k
Johanna Helmersson Sweden 17 199 1.1× 162 1.0× 236 1.5× 56 0.4× 113 0.9× 25 1.1k

Countries citing papers authored by Yoonsu Cho

Since Specialization
Citations

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

Fields of papers citing papers by Yoonsu Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoonsu Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Yoonsu Cho. A scholar is included among the top collaborators of Yoonsu Cho 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 Yoonsu Cho. Yoonsu Cho 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
1.
Cho, Yoonsu, Fabian Falck, Michael Katell, et al.. (2025). Methodological opportunities in genomic data analysis to advance health equity. Nature Reviews Genetics. 26(9). 635–649. 1 indexed citations
2.
Thu, Nguyễn Thị Hoài, Yoonsu Cho, Alona Sosinsky, et al.. (2025). Equity in cancer genomics in the UK: a cross-sectional analysis of a national cancer cohort. The Lancet Oncology. 26(7). 971–980. 1 indexed citations
3.
Cho, Yoonsu, Kuang Lin, Canqing Yu, et al.. (2023). Genetic influences on alcohol flushing in East Asian populations. BMC Genomics. 24(1). 638–638. 8 indexed citations
4.
Zhao, Huiling, Therese Haugdahl Nøst, Yoonsu Cho, et al.. (2022). Proteome-wide Mendelian randomization in global biobank meta-analysis reveals multi-ancestry drug targets for common diseases. Cell Genomics. 2(11). 100195–100195. 34 indexed citations
5.
Richardson, Tom G., Daniel J. M. Crouch, Grace M. Power, et al.. (2022). Childhood body size directly increases type 1 diabetes risk based on a lifecourse Mendelian randomization approach. Nature Communications. 13(1). 2337–2337. 39 indexed citations
6.
Cho, Yoonsu, Philip Haycock, Eleanor Sanderson, et al.. (2020). Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework. Nature Communications. 11(1). 1010–1010. 76 indexed citations
7.
Kim, Minkyeong, Jong Hyeon Ahn, Yoonsu Cho, et al.. (2019). Differential value of brain magnetic resonance imaging in multiple system atrophy cerebellar phenotype and spinocerebellar ataxias. Scientific Reports. 9(1). 17329–17329. 18 indexed citations
8.
Cho, Yoonsu, Soyoung Kwak, Sarah J. Lewis, et al.. (2018). Exploring the utility of alcohol flushing as an instrumental variable for alcohol intake in Koreans. Scientific Reports. 8(1). 458–458. 15 indexed citations
9.
Cho, Yoonsu, Ju‐Hyun Park, Jong-Tae Lee, et al.. (2016). Estimating change in cardiovascular disease and diabetes burdens due to dietary and metabolic factors in Korea 1998–2011: a comparative risk assessment analysis. BMJ Open. 6(12). e013283–e013283. 8 indexed citations
10.
Cho, Yoonsu, et al.. (2015). Plasma phospholipid arachidonic acid and lignoceric acid are associated with the risk of cardioembolic stroke. Nutrition Research. 35(11). 1001–1008. 23 indexed citations
11.
Cho, Yoonsu, So-Youn Shin, & Min‐Jeong Shin. (2015). Sarcopenic obesity is associated with lower indicators of psychological health and quality of life in Koreans. Nutrition Research. 35(5). 384–392. 52 indexed citations
13.
Moon, Ji‐Yong, et al.. (2014). Arginase Inhibition Ameliorates Hepatic Metabolic Abnormalities in Obese Mice. PLoS ONE. 9(7). e103048–e103048. 16 indexed citations
16.
Kim, Oh Yoen, Young‐Sang Jung, Yoonsu Cho, et al.. (2013). Altered heart and kidney phospholipid fatty acid composition are associated with cardiac hypertrophy in hypertensive rats. Clinical Biochemistry. 46(12). 1111–1117. 12 indexed citations
17.
Shin, Min‐Jeong, et al.. (2013). Hypocholesterolemic effect of daily fisetin supplementation in high fat fed Sprague–Dawley rats. Food and Chemical Toxicology. 57. 84–90. 14 indexed citations
18.
Lee, Seung-Min, Ji‐Young Moon, Yoonsu Cho, Ji Hyung Chung, & Min‐Jeong Shin. (2012). Quercetin up-regulates expressions of peroxisome proliferator-activated receptor γ, liver X receptor α, and ATP binding cassette transporter A1 genes and increases cholesterol efflux in human macrophage cell line. Nutrition Research. 33(2). 136–143. 62 indexed citations
19.
Kim, Yong‐Jae, Oh Yoen Kim, Yoonsu Cho, et al.. (2012). Plasma phospholipid fatty acid composition in ischemic stroke: Importance of docosahexaenoic acid in the risk for intracranial atherosclerotic stenosis. Atherosclerosis. 225(2). 418–424. 30 indexed citations
20.
Lee, Seung-Min, et al.. (2012). Effects of kimchi supplementation on blood pressure and cardiac hypertrophy with varying sodium content in spontaneously hypertensive rats. Nutrition Research and Practice. 6(4). 315–315. 11 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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