Yeoung‐Gyu Ko

1.2k total citations
71 papers, 956 citations indexed

About

Yeoung‐Gyu Ko is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yeoung‐Gyu Ko has authored 71 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Genetics, 21 papers in Molecular Biology and 20 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yeoung‐Gyu Ko's work include Reproductive Biology and Fertility (20 papers), Genetic and phenotypic traits in livestock (18 papers) and Animal Genetics and Reproduction (16 papers). Yeoung‐Gyu Ko is often cited by papers focused on Reproductive Biology and Fertility (20 papers), Genetic and phenotypic traits in livestock (18 papers) and Animal Genetics and Reproduction (16 papers). Yeoung‐Gyu Ko collaborates with scholars based in South Korea, United States and Japan. Yeoung‐Gyu Ko's co-authors include Kunio Shiota, Satoshi Tanaka, Koichiro Nishino, Naoko Hattori, Jun Ohgane, Naka Hattori, Hyoung Joon Park, Jae‐Hyeon Cho, Yuno Song and Suk Nam Kang and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yeoung‐Gyu Ko

62 papers receiving 900 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeoung‐Gyu Ko South Korea 11 592 226 128 92 85 71 956
Todd A. Winters United States 17 252 0.4× 196 0.9× 77 0.6× 86 0.9× 131 1.5× 30 1.0k
Yun Zhao China 18 470 0.8× 59 0.3× 108 0.8× 47 0.5× 80 0.9× 54 938
Quanwei Wei China 20 290 0.5× 92 0.4× 161 1.3× 24 0.3× 106 1.2× 78 1.1k
Shenqiang Hu China 17 435 0.7× 293 1.3× 127 1.0× 67 0.7× 146 1.7× 136 1.1k
Fangxiong Shi China 21 335 0.6× 123 0.5× 231 1.8× 25 0.3× 126 1.5× 63 1.2k
Xin Zheng China 16 298 0.5× 51 0.2× 77 0.6× 53 0.6× 72 0.8× 54 667
Pauline Y. Aad United States 16 363 0.6× 213 0.9× 466 3.6× 138 1.5× 121 1.4× 27 1.2k
A Regassa Canada 12 397 0.7× 69 0.3× 76 0.6× 198 2.2× 314 3.7× 22 1.0k
Yuqi Wu China 17 190 0.3× 221 1.0× 82 0.6× 80 0.9× 93 1.1× 37 831
Felix Kwame Amevor China 19 482 0.8× 99 0.4× 43 0.3× 81 0.9× 116 1.4× 52 1.0k

Countries citing papers authored by Yeoung‐Gyu Ko

Since Specialization
Citations

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

Fields of papers citing papers by Yeoung‐Gyu Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeoung‐Gyu Ko. 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 Yeoung‐Gyu Ko. The network helps show where Yeoung‐Gyu Ko may publish in the future.

Co-authorship network of co-authors of Yeoung‐Gyu Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Yeoung‐Gyu Ko. A scholar is included among the top collaborators of Yeoung‐Gyu Ko 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 Yeoung‐Gyu Ko. Yeoung‐Gyu Ko 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.
Kim, Sung Woo, Jinwook Lee, Chan-Lan Kim, et al.. (2022). Differential expression and localization of tight junction proteins in the goat epididymis. Journal of Animal Science and Technology. 64(3). 500–514. 3 indexed citations
2.
Park, Joonghoon, et al.. (2020). Transcriptome profiling of in vitro-matured oocytes from a korean native cow (hanwoo) after cysteamine supplementation. Animal Biotechnology. 32(4). 401–412. 3 indexed citations
3.
Kim, Seungchang, Jinwook Lee, Yeoung‐Gyu Ko, et al.. (2020). Estimating genetic diversity and population structure of 22 chicken breeds in Asia using microsatellite markers. Asian-Australasian Journal of Animal Sciences. 33(12). 1896–1904. 8 indexed citations
4.
Kim, Seungchang, et al.. (2020). Identification of White Hanwoo Breed Using Single Nucleotide Polymorphism Markers. Journal of the Korea Academia-Industrial cooperation Society. 21(1). 240–246. 1 indexed citations
5.
Kim, Sung Woo, Jae-Yeong Lee, Bong-Ki Kim, et al.. (2020). Ultrasonic Cutting of Frozen Semen Straws to Optimize the Use of Spermatozoa for In Vitro Fertilization. Animals. 10(11). 2152–2152. 2 indexed citations
6.
Zhao, Minghui, Seung‐Hoon Lee, Dong‐Hoon Kim, et al.. (2017). Dog cloning with in vivo matured oocytes obtaining using serum estradiol levels for predicting time of ovulation. Theriogenology. 107. 109–114.
7.
Ko, Yeoung‐Gyu, et al.. (2016). Nitric oxide enhances sperm viability and fertility in rooster semen. SHILAP Revista de lepidopterología. 40(1). 2–11. 1 indexed citations
8.
Kim, Sung Woo, et al.. (2015). Studies on the Estimation of Pregnancy Rate of White Hanwoo (Albino Korean Native Cattle) with Sexed Semen. SHILAP Revista de lepidopterología. 30(1). 45–50. 2 indexed citations
9.
Park, Hyoung Joon, Yuno Song, Yeoung‐Gyu Ko, et al.. (2014). Schisandra chinensis Prevents Alcohol-Induced Fatty Liver Disease in Rats. Journal of Medicinal Food. 17(1). 103–110. 51 indexed citations
10.
Park, Hyoung Joon, Jisoo Yun, Suk Nam Kang, et al.. (2014). Coprinus comatus Cap Inhibits Adipocyte Differentiation via Regulation of PPARγ and Akt Signaling Pathway. PLoS ONE. 9(9). e105809–e105809. 26 indexed citations
11.
Kim, So Young, Tae‐Suk Kim, Sang Hoon Park, et al.. (2014). Siberian Sturgeon Oocyte Extract Induces Epigenetic Modifications of Porcine Somatic Cells and Improves Developmental Competence of SCNT Embryos. Asian-Australasian Journal of Animal Sciences. 27(2). 266–277. 3 indexed citations
12.
Suh, Sangwon, et al.. (2014). Establishment of a Microsatellite Marker set for Individual Identification in Goat. Journal of Agriculture & Life Science. 48(3). 157–164. 6 indexed citations
13.
14.
Ko, Yeoung‐Gyu, Jisoo Yun, Hyoung Joon Park, et al.. (2013). Dynamic methylation pattern of the methyltransferase1o (Dnmt1o) 5′‐flanking region during mouse oogenesis and spermatogenesis. Molecular Reproduction and Development. 80(3). 212–222. 5 indexed citations
15.
Kim, Gon-Sup, Hyoung Joon Park, Mi-Kyeong Kim, et al.. (2012). Citrus aurantium flavonoids inhibit adipogenesis through the Akt signaling pathway in 3T3-L1 cells. BMC Complementary and Alternative Medicine. 12(1). 31–31. 105 indexed citations
16.
17.
Lee, Nam‐Jin, Byoung‐Chul Yang, Gi‐Sun Im, et al.. (2010). Effects of cloned-cattle meat diet on reproductive parameters in pregnant rabbits. Food and Chemical Toxicology. 48(3). 871–876. 7 indexed citations
18.
Hwang, In‐Sun, et al.. (2009). Effects of FBS(Fetal Bovine Serum) and pFF(Porcine Follicular Fluid)on In Vitro Maturation and Development of PorcineParthenogenetic and Nuclear Transfer Embryos. 33(2). 85–91. 2 indexed citations
19.
Ko, Yeoung‐Gyu, et al.. (2009). Developmental characteristics of SCNT pig embryos knocked-out of Alpha-1,3-galactosyltransferase gene. 33(3). 157–162. 1 indexed citations
20.
Hwang, Sung Ho, et al.. (2009). Effects of cloned-cattle meat on reproductive physiology in rats. animal. 4(2). 218–223. 6 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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