Sung‐Jong Oh

682 total citations
24 papers, 515 citations indexed

About

Sung‐Jong Oh is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Sung‐Jong Oh has authored 24 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 7 papers in Molecular Biology and 6 papers in Animal Science and Zoology. Recurrent topics in Sung‐Jong Oh's work include Genetic and phenotypic traits in livestock (11 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Cancer-related molecular mechanisms research (6 papers). Sung‐Jong Oh is often cited by papers focused on Genetic and phenotypic traits in livestock (11 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Cancer-related molecular mechanisms research (6 papers). Sung‐Jong Oh collaborates with scholars based in South Korea, Australia and India. Sung‐Jong Oh's co-authors include Duhak Yoon, Eung-Woo Park, Seung Hwan Lee, J. M. Thompson, Yong-Min Cho, Jun-Sang Ham, Yoon‐Keun Kim, Sin‐Hyeog Im, Kyong‐Tai Kim and Myoung Ho Jang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Allergy and Clinical Immunology.

In The Last Decade

Sung‐Jong Oh

23 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung‐Jong Oh South Korea 12 248 183 89 78 63 24 515
Ann-Britt Nygård Denmark 6 262 1.1× 86 0.5× 59 0.7× 36 0.5× 57 0.9× 8 507
G.A. Baumbach United States 13 191 0.8× 85 0.5× 55 0.6× 47 0.6× 27 0.4× 19 498
Eyal Klipper Israel 18 140 0.6× 104 0.6× 97 1.1× 107 1.4× 60 1.0× 21 680
Marita Broadhurst New Zealand 13 275 1.1× 70 0.4× 41 0.5× 21 0.3× 27 0.4× 20 532
Oliver Couture United States 11 154 0.6× 109 0.6× 101 1.1× 70 0.9× 54 0.9× 20 444
Binyun Cao China 19 393 1.6× 414 2.3× 73 0.8× 25 0.3× 277 4.4× 58 871
Lucas Lefèvre United Kingdom 13 238 1.0× 178 1.0× 30 0.3× 25 0.3× 109 1.7× 21 638
Lynsey Fairbairn United Kingdom 10 275 1.1× 104 0.6× 64 0.7× 19 0.2× 75 1.2× 12 668
A.V. Capuco United States 14 84 0.3× 325 1.8× 273 3.1× 26 0.3× 31 0.5× 14 789
Marina G. Smirnova United Kingdom 10 210 0.8× 32 0.2× 20 0.2× 85 1.1× 24 0.4× 10 554

Countries citing papers authored by Sung‐Jong Oh

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Jong Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung‐Jong Oh. 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 Sung‐Jong Oh. The network helps show where Sung‐Jong Oh may publish in the future.

Co-authorship network of co-authors of Sung‐Jong Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Jong Oh. A scholar is included among the top collaborators of Sung‐Jong Oh 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 Sung‐Jong Oh. Sung‐Jong Oh 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.
2.
Kim, Junghwan, Chun‐Pyo Hong, Seong Hoon Kim, et al.. (2015). Extracellular vesicle–derived protein from Bifidobacterium longum alleviates food allergy through mast cell suppression. Journal of Allergy and Clinical Immunology. 137(2). 507–516.e8. 153 indexed citations
3.
Nguyen, Thanh Luan, et al.. (2014). Characterization and cardiac differentiation of chicken spermatogonial stem cells. Animal Reproduction Science. 151(3-4). 244–255. 7 indexed citations
4.
Jeong, Hyeonsoo, et al.. (2014). Native Pig and Chicken Breed Database: NPCDB. Asian-Australasian Journal of Animal Sciences. 27(10). 1394–1398. 15 indexed citations
5.
Oh, Keon Bong, Sun‐A Ock, Gi‐Sun Im, et al.. (2013). Generation of Leukemia Inhibitory Factor-Dependent Induced Pluripotent Stem Cells from the Massachusetts General Hospital Miniature Pig. BioMed Research International. 2013. 1–11. 25 indexed citations
6.
Jeong, Dong Kee, Neelesh Sharma, Jin Nam Kim, Simrinder Singh Sodhi, & Sung‐Jong Oh. (2012). Optimization of Techniques for Isolation and Identification of Bovine Hematopoietic Stem Cells from Peripheral Blood. 36(2). 138–138. 3 indexed citations
7.
8.
Lee, Seung Hwan, et al.. (2011). Genomic Information and Its Application in Hanwoo (Korean Native Cattle) Breeding Program - A Mini Review. 4 indexed citations
9.
Lee, Seung Hwan, Cedric Gondro, J. H. J. van der Werf, et al.. (2010). Use of a bovine genome array to identify new biological pathways for beef marbling in Hanwoo (Korean Cattle). BMC Genomics. 11(1). 623–623. 53 indexed citations
10.
Lee, Seung Hwan, Hyeong–Cheol Kim, Dajeong Lim, et al.. (2010). Association of Microsatellite Marker in FABP4 Gene with Marbling Score and Live Weight in Hanwoo. Journal of Animal Science and Technology. 52(6). 475–480. 2 indexed citations
11.
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
12.
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
13.
Lee, Seung Hwan, Eung-Woo Park, Yong-Min Cho, et al.. (2007). Identification of Differentially Expressed Genes Related to Intramuscular Fat Development in the Early and Late Fattening Stages of Hanwoo Steers. BMB Reports. 40(5). 757–764. 57 indexed citations
14.
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
15.
Cheong, Hyun Sub, Duhak Yoon, Lyoung Hyo Kim, et al.. (2006). Growth hormone-releasing hormone (GHRH) polymorphisms associated with carcass traits of meat in Korean cattle. BMC Genetics. 7(1). 35–35. 42 indexed citations
16.
Cheong, Hyun Sub, Duhak Yoon, Lyoung Hyo Kim, et al.. (2006). Leptin Polymorphisms Associated with Carcass Traits of Meat in Korean Cattle. Asian-Australasian Journal of Animal Sciences. 19(11). 1529–1535. 11 indexed citations
17.
Lee, Kyung‐Tai, Eung-Woo Park, Sunjin Moon, et al.. (2005). Genomic sequence analysis of a potential QTL region for fat trait on pig chromosome 6. Genomics. 87(2). 218–224. 10 indexed citations
18.
Lee, Seung Hwan, et al.. (2005). Developmental Relationship of Unsaturated Fatty Acid Composition and Stearoyl-CoA Desaturase mRNA Level in Hanwoo Steers` Muscle. Asian-Australasian Journal of Animal Sciences. 18(4). 562–566. 14 indexed citations
19.
Yang, Byoung‐Chul, Gi‐Sun Im, Won-Kyong Chang, et al.. (2003). Survival and In Vitro Development of Immature Bovine Oocytes Cryopreserved by Vitrification. Asian-Australasian Journal of Animal Sciences. 16(1). 23–28. 8 indexed citations
20.
Oh, Sung‐Jong, et al.. (2002). One case treated bladder cancer with Immunity-herbal acupuncture. SHILAP Revista de lepidopterología. 5(1). 153–157. 2 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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