Yoon Shin Cho

16.9k total citations
62 papers, 1.7k citations indexed

About

Yoon Shin Cho is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Yoon Shin Cho has authored 62 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 27 papers in Genetics and 8 papers in Surgery. Recurrent topics in Yoon Shin Cho's work include Genetic Associations and Epidemiology (19 papers), RNA modifications and cancer (8 papers) and Liver Disease Diagnosis and Treatment (7 papers). Yoon Shin Cho is often cited by papers focused on Genetic Associations and Epidemiology (19 papers), RNA modifications and cancer (8 papers) and Liver Disease Diagnosis and Treatment (7 papers). Yoon Shin Cho collaborates with scholars based in South Korea, United States and China. Yoon Shin Cho's co-authors include Kyong Soo Park, Jong‐Young Lee, Hyoung Doo Shin, Young Min Cho, Hyung‐Lae Kim, Bermseok Oh, Bok-Ghee Han, Norman B. Hecht, Nam Cho and Claudia H.T. Tam and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Yoon Shin Cho

62 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoon Shin Cho South Korea 23 784 601 217 193 187 62 1.7k
Silvio Zaina Mexico 25 1.1k 1.5× 324 0.5× 246 1.1× 76 0.4× 184 1.0× 63 1.8k
Jianqing Zhou China 21 729 0.9× 285 0.5× 452 2.1× 109 0.6× 153 0.8× 59 1.6k
Martin McBride United Kingdom 30 1.4k 1.8× 323 0.5× 390 1.8× 138 0.7× 269 1.4× 81 2.7k
Gillian Douglas United Kingdom 24 677 0.9× 183 0.3× 172 0.8× 130 0.7× 261 1.4× 59 2.0k
Emilyn U. Alejandro United States 25 854 1.1× 368 0.6× 398 1.8× 369 1.9× 928 5.0× 62 2.0k
Juan Carlos Calvo Argentina 22 570 0.7× 164 0.3× 235 1.1× 271 1.4× 105 0.6× 79 2.0k
N Surico Italy 25 552 0.7× 209 0.3× 259 1.2× 286 1.5× 314 1.7× 100 2.6k
June E. Bishop United States 26 646 0.8× 747 1.2× 347 1.6× 47 0.2× 149 0.8× 48 2.5k
Greg A. Knock United Kingdom 27 722 0.9× 143 0.2× 161 0.7× 254 1.3× 151 0.8× 48 1.9k
Gepke Visser Netherlands 30 1.3k 1.6× 925 1.5× 178 0.8× 50 0.3× 227 1.2× 109 3.6k

Countries citing papers authored by Yoon Shin Cho

Since Specialization
Citations

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

Fields of papers citing papers by Yoon Shin Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoon Shin Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Yoon Shin Cho. A scholar is included among the top collaborators of Yoon Shin 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 Yoon Shin Cho. Yoon Shin 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.
Yeom, Chang‐Hwan, et al.. (2025). Phenethyl Isothiocyanate (PEITC) interaction with Keap1 activates the Nrf2 pathway and inhibits lipid accumulation in adipocytes. The Journal of Nutritional Biochemistry. 144. 109963–109963. 1 indexed citations
2.
Kim, Jun Young & Yoon Shin Cho. (2024). Identification of shared genetic risks underlying metabolic syndrome and its related traits in the Korean population. Frontiers in Genetics. 15. 1417262–1417262. 3 indexed citations
3.
Kim, Young Jin, et al.. (2022). Identification and functional validation of HLA-C as a potential gene involved in colorectal cancer in the Korean population. BMC Genomics. 23(1). 261–261. 4 indexed citations
4.
5.
Kim, Yun Joong, et al.. (2020). The burden of rare damaging variants in hereditary atypical parkinsonism genes is increased in patients with Parkinson’s disease. Neurobiology of Aging. 100. 118.e5–118.e13. 2 indexed citations
6.
Lee, Hyejin, et al.. (2020). <p>Identification of Genetic Variants for Female Obesity and Evaluation of the Causal Role of Genetically Defined Obesity in Polycystic Ovarian Syndrome</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 4311–4322. 8 indexed citations
7.
Kim, Jeong Eun, et al.. (2018). Hsa-miR-10a-5p downregulation in mutant UQCRB-expressing cells promotes the cholesterol biosynthesis pathway. Scientific Reports. 8(1). 12407–12407. 12 indexed citations
8.
Kim, Myungsuk, Jung-Hee Lee, Kyung‐Mi Lee, et al.. (2018). Understanding the functional role of genistein in the bone differentiation in mouse osteoblastic cell line MC3T3-E1 by RNA-seq analysis. Scientific Reports. 8(1). 3257–3257. 27 indexed citations
9.
10.
Kwak, Soo Heon, Sung‐Hoon Kim, Young Min Cho, et al.. (2012). A Genome-Wide Association Study of Gestational Diabetes Mellitus in Korean Women. Diabetes. 61(2). 531–541. 202 indexed citations
11.
Kwak, Soo Heon, Hail Kim, Michael S. German, et al.. (2011). Association of Variations in TPH1 and HTR2B with Gestational Weight Gain and Measures of Obesity. Obesity. 20(1). 233–238. 48 indexed citations
12.
Yoon, Dankyu, Youngjin Kim, Wenyan Cui, et al.. (2011). Large-scale genome-wide association study of Asian population reveals genetic factors in FRMD4A and other loci influencing smoking initiation and nicotine dependence. Human Genetics. 131(6). 1009–1021. 45 indexed citations
13.
Lee, Jae-Eun, et al.. (2010). Bacterial Contamination of Blood DNA Samples is Associated with Donor's Health Condition. Biopreservation and Biobanking. 8(3). 127–131. 1 indexed citations
14.
Jung, Jongsun, Yoon Shin Cho, Ji Hee Oh, et al.. (2010). Gene Flow between the Korean Peninsula and Its Neighboring Countries. PLoS ONE. 5(7). e11855–e11855. 12 indexed citations
15.
Cho, Seoae, Kyunga Kim, Young Jin Kim, et al.. (2010). Joint Identification of Multiple Genetic Variants via Elastic‐Net Variable Selection in a Genome‐Wide Association Analysis. Annals of Human Genetics. 74(5). 416–428. 71 indexed citations
16.
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
17.
Kim, Tae Ho, Jung Min Hong, Bermseok Oh, et al.. (2008). Association of polymorphisms in the Interleukin 23 receptor gene with osteonecrosis of femoral head in Korean population. Experimental & Molecular Medicine. 40(4). 418–418. 22 indexed citations
18.
Hong, Jung Min, Bermseok Oh, Yoon Shin Cho, et al.. (2008). Association Analysis of Tissue Factor Pathway Inhibitor Polymorphisms and Haplotypes with Osteonecrosis of the Femoral Head in the Korean Population. Molecules and Cells. 26(5). 490–495. 9 indexed citations
19.
Kim, Ju Hyun, et al.. (2005). Microarray Profiling of Genes Differentially Expressed during Erythroid Differentiation of Murine Erythroleukemia Cells. Molecules and Cells. 20(1). 57–68. 9 indexed citations
20.
Cho, Yoon Shin, et al.. (2001). Modification of inhibitor binding sites in the cytochrome bf complex by directed mutagenesis of cytochrome b6 in Synechococcus sp. PCC 7002. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1504(2-3). 235–247. 16 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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