Yong-Min Cho

995 total citations
40 papers, 734 citations indexed

About

Yong-Min Cho is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Yong-Min Cho has authored 40 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 15 papers in Molecular Biology and 12 papers in Cancer Research. Recurrent topics in Yong-Min Cho's work include Genetic and phenotypic traits in livestock (21 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Cancer-related molecular mechanisms research (12 papers). Yong-Min Cho is often cited by papers focused on Genetic and phenotypic traits in livestock (21 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Cancer-related molecular mechanisms research (12 papers). Yong-Min Cho collaborates with scholars based in South Korea, United States and Australia. Yong-Min Cho's co-authors include C. A. Batt, Lindsay Sawyer, Seung Hwan Lee, Dajeong Lim, X. Chen, Susan R. McCouch, Han‐Ha Chai, Heebal Kim, Eung-Woo Park and Duhak Yoon and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Yong-Min Cho

34 papers receiving 688 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong-Min Cho South Korea 15 348 236 166 134 105 40 734
Qiqi Liang China 18 147 0.4× 306 1.3× 54 0.3× 56 0.4× 88 0.8× 31 685
Yao Yao China 14 88 0.3× 542 2.3× 74 0.4× 62 0.5× 90 0.9× 41 793
J. Mallard France 11 133 0.4× 151 0.6× 115 0.7× 42 0.3× 19 0.2× 22 492
J.C. Mercier France 18 412 1.2× 519 2.2× 37 0.2× 186 1.4× 10 0.1× 30 931
Didier Delourme France 13 66 0.2× 442 1.9× 47 0.3× 30 0.2× 60 0.6× 20 599
Alessio Di Luca Italy 13 26 0.1× 266 1.1× 275 1.7× 56 0.4× 67 0.6× 26 531
Junjie Shao China 15 220 0.6× 380 1.6× 34 0.2× 28 0.2× 55 0.5× 35 663

Countries citing papers authored by Yong-Min Cho

Since Specialization
Citations

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

Fields of papers citing papers by Yong-Min Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong-Min Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Yong-Min Cho. A scholar is included among the top collaborators of Yong-Min 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 Yong-Min Cho. Yong-Min 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.
Lim, Kyu‐Sang, Hyungchul Kim, Bong‐Hwan Choi, et al.. (2021). Identification of Monoallelically Expressed Genes Associated with Economic Traits in Hanwoo (Korean Native Cattle). Animals. 12(1). 84–84. 2 indexed citations
2.
Kim, Kwondo, Jaehoon Jung, Kelsey Caetano-Anollés, et al.. (2018). Artificial selection increased body weight but induced increase of runs of homozygosity in Hanwoo cattle. PLoS ONE. 13(3). e0193701–e0193701. 6 indexed citations
3.
Zong, Hui, et al.. (2018). Algorithms for split common fixed point problems in Hilbert spaces. Journal of Nonlinear and Variational Analysis. 2(3).
4.
Park, Jong‐Eun, et al.. (2017). Current status of genomic prediction using Multi-omics data in livestock. 18(4). 151–156. 1 indexed citations
5.
Choi, Jung-Woo, Won‐Hyong Chung, Kyu‐Sang Lim, et al.. (2016). Copy number variations in Hanwoo and Yanbian cattle genomes using the massively parallel sequencing data. Gene. 589(1). 36–42. 5 indexed citations
6.
Lim, Dajeong, et al.. (2015). Gene Expression Patterns Associated with Peroxisome Proliferator-activated Receptor (PPAR) Signaling in the <i>Longissimus dorsi</i> of Hanwoo (Korean Cattle). Asian-Australasian Journal of Animal Sciences. 28(8). 1075–1083. 32 indexed citations
7.
Choi, Jung-Woo, Bong‐Hwan Choi, Seung Hwan Lee, et al.. (2015). Whole-Genome Resequencing Analysis of Hanwoo and Yanbian Cattle to Identify Genome-Wide SNPs and Signatures of Selection. Molecules and Cells. 38(5). 466–473. 49 indexed citations
8.
Lee, Hyun Jeong, Jaemin Kim, Taeheon Lee, et al.. (2014). Deciphering the Genetic Blueprint behind Holstein Milk Proteins and Production. Genome Biology and Evolution. 6(6). 1366–1374. 31 indexed citations
9.
Lim, Dajeong, Seung Hwan Lee, Yong-Min Cho, et al.. (2013). Gene Co-expression Analysis to Characterize Genes Related to Marbling Trait in Hanwoo (Korean) Cattle. Asian-Australasian Journal of Animal Sciences. 26(1). 19–29. 30 indexed citations
10.
Choi, Jung-Woo, Won‐Hyong Chung, Kyung‐Tai Lee, et al.. (2013). Whole Genome Resequencing of Heugu (Korean Black Cattle) for the Genome-Wide SNP Discovery. Korean Journal for Food Science of Animal Resources. 33(6). 715–722. 3 indexed citations
11.
Lim, Dajeong, Seung Hwan Lee, Yong-Min Cho, et al.. (2011). Heat Shock Protein B1 and Its Regulator Genes Are Negatively Correlated with Intramuscular Fat Content in the Longissimus Thoracis Muscle of Hanwoo (Korean Cattle) Steers. Journal of Agricultural and Food Chemistry. 59(10). 5657–5664. 21 indexed citations
12.
Cho, Yong-Min, et al.. (2010). Association of Bovine CSRP3 and ACOX1 Genes with Carcass and Meat Quality Traits. Korean Journal of Agricultural Science. 37(2). 231–238. 2 indexed citations
13.
Lee, Jong-Moon, Tae‐Woo Kim, Soo‐Hyun Cho, et al.. (2009). Comparison of Chemical, Physical and Sensory Traits of Longissimus Lumborum Hanwoo Beef and Australian Wagyu Beef. Korean Journal for Food Science of Animal Resources. 29(1). 91–98. 17 indexed citations
14.
Lim, Dajeong, Yong-Min Cho, Kyung‐Tai Lee, et al.. (2008). The Pig Genome Database (PiGenome): an integrated database for pig genome research. Mammalian Genome. 20(1). 60–66. 13 indexed citations
15.
Lee, Seung Hwan, Yong-Min Cho, Sang Lee, et al.. (2008). Identification of marbling-related candidate genes in M. longissimus dorsi of high- and low marbled Hanwoo (Korean Native Cattle) steers. BMB Reports. 41(12). 846–851. 28 indexed citations
16.
Lee, Jong-Moon, Soo‐Hyun Cho, Pil‐Nam Seong, et al.. (2008). Study on the Carcass Yield Grade Traits and Prediction of Retail Product Weight in Hanwoo Beef. Korean Journal for Food Science of Animal Resources. 28(5). 604–609. 11 indexed citations
17.
Ham, Jun-Sang, et al.. (2007). Effect of Milk Containing Streptococcus thermophilus KACC 91147 on Blood Glucose Levels. Korean Journal for Food Science of Animal Resources. 27(4). 496–500. 1 indexed citations
18.
Lee, Seung Hwan, Eung-Woo Park, Yong-Min Cho, et al.. (2006). Confirming Single Nucleotide Polymorphisms from Expressed Sequence Tag Datasets Derived from Three Cattle cDNA Libraries. BMB Reports. 39(2). 183–188. 13 indexed citations
19.
Chen, X., Yong-Min Cho, & Susan R. McCouch. (2002). Sequence divergence of rice microsatellites in Oryza and other plant species. Molecular Genetics and Genomics. 268(3). 331–343. 84 indexed citations
20.
Sharma, Aditi, Jong‐Eun Park, Mi Na Park, et al.. (1970). Accuracy of Imputation of Microsatellite Markers from BovineSNP50 and BovineHD BeadChip in Hanwoo Population of Korea. Genomics & Informatics. 16(1). 10–13. 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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