Sung Jong Oh

1.4k total citations
37 papers, 688 citations indexed

About

Sung Jong Oh is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Sung Jong Oh has authored 37 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 10 papers in Molecular Biology and 6 papers in Plant Science. Recurrent topics in Sung Jong Oh's work include Genetic and phenotypic traits in livestock (14 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Meat and Animal Product Quality (4 papers). Sung Jong Oh is often cited by papers focused on Genetic and phenotypic traits in livestock (14 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Meat and Animal Product Quality (4 papers). Sung Jong Oh collaborates with scholars based in South Korea, Kenya and United Kingdom. Sung Jong Oh's co-authors include Heebal Kim, Hak‐Kyo Lee, Seoae Cho, Tadelle Dessie, Chang Won Choi, Mengistie Taye, Wonseok Lee, Stephen J. Kemp, Sei Chang Kim and Olivier Hanotte and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Infection and Immunity.

In The Last Decade

Sung Jong Oh

36 papers receiving 678 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 17 345 157 146 108 92 37 688
Sameer D. Pant Australia 17 328 1.0× 326 2.1× 221 1.5× 119 1.1× 29 0.3× 69 909
Bharat Bhushan India 19 758 2.2× 146 0.9× 236 1.6× 210 1.9× 31 0.3× 111 1.1k
Manjit Panigrahi India 18 758 2.2× 181 1.2× 247 1.7× 196 1.8× 28 0.3× 133 1.1k
Yanghua He China 17 241 0.7× 497 3.2× 176 1.2× 100 0.9× 42 0.5× 43 847
Xiaoyong Du China 15 187 0.5× 249 1.6× 63 0.4× 57 0.5× 56 0.6× 46 541
Asif Nadeem Pakistan 16 286 0.8× 270 1.7× 90 0.6× 160 1.5× 75 0.8× 102 783
Reena Arora India 18 711 2.1× 342 2.2× 160 1.1× 121 1.1× 18 0.2× 121 1.2k
Si Chen China 13 94 0.3× 161 1.0× 54 0.4× 112 1.0× 27 0.3× 57 553
Séad Taourit France 10 504 1.5× 391 2.5× 48 0.3× 68 0.6× 46 0.5× 19 908
Maria Teresa Sardina Italy 18 894 2.6× 230 1.5× 190 1.3× 156 1.4× 38 0.4× 78 1.2k

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.
Ashiquzzaman, Akm, et al.. (2019). Deeplearning Convolutional Neural Network based QoE Assessment Module for 4K UHD Video Streaming. 392–397. 3 indexed citations
2.
Taye, Mengistie, Jaemin Kim, Wonseok Lee, et al.. (2017). Whole genome scan reveals the genetic signature of African Ankole cattle breed and potential for higher quality beef. BMC Genetics. 18(1). 11–11. 77 indexed citations
3.
Taye, Mengistie, Wonseok Lee, Joon Yoon, et al.. (2017). Exploring evidence of positive selection signatures in cattle breeds selected for different traits. Mammalian Genome. 28(11-12). 528–541. 57 indexed citations
4.
Oh, Sung Jong, Hyun-Jung Park, Ki‐Sung Lee, et al.. (2017). A Salmonella typhimurium ghost vaccine induces cytokine expression in vitro and immune responses in vivo and protects rats against homologous and heterologous challenges. PLoS ONE. 12(9). e0185488–e0185488. 22 indexed citations
5.
Kim, Soo‐Jin, Sojeong Ka, Jung-Woo Ha, et al.. (2017). Cattle genome-wide analysis reveals genetic signatures in trypanotolerant N’Dama. BMC Genomics. 18(1). 371–371. 31 indexed citations
6.
Taye, Mengistie, Joon Yoon, Tadelle Dessie, et al.. (2017). Deciphering signature of selection affecting beef quality traits in Angus cattle. Genes & Genomics. 40(1). 63–75. 34 indexed citations
7.
Sharma, Neelesh, Simrinder Singh Sodhi, Do Luong Huynh, et al.. (2015). Differentiation dynamics of mammary epithelial stem cells from Korean holstein dairy cattle under ECM-free conditions. Journal of Biomolecular Structure and Dynamics. 33(12). 2633–2654. 5 indexed citations
8.
Ghosh, Mrinmoy, Simrinder Singh Sodhi, Jeong Hyun Kim, et al.. (2015). An Integrated In Silico Approach for the Structural and Functional Exploration of Lipocalin 2 and its Functional Insights with Metalloproteinase 9 and Lipoprotein Receptor-Related Protein 2. Applied Biochemistry and Biotechnology. 176(3). 712–729. 7 indexed citations
9.
Oh, Sung Jong, et al.. (2014). Chemically induced Salmonella enteritidis ghosts as a novel vaccine candidate against virulent challenge in a rat model. Vaccine. 32(26). 3249–3255. 35 indexed citations
10.
Oh, Sung Jong, Jaeok Park, Kyung Ku Jang, et al.. (2014). Expression of Aspergillus nidulans phy Gene in Nicotiana benthamiana Produces Active Phytase with Broad Specificities. International Journal of Molecular Sciences. 15(9). 15571–15591. 6 indexed citations
11.
Sodhi, Simrinder Singh, Ki‐Duk Song, Mrinmoy Ghosh, et al.. (2014). Comparative transcriptomic analysis by RNA-seq to discern differential expression of genes in liver and muscle tissues of adult Berkshire and Jeju Native Pig. Gene. 546(2). 233–242. 27 indexed citations
12.
13.
Lee, Seung Hwan, et al.. (2013). Strategies to Multiply Elite Cow in Hanwoo Small Farm. 28(2). 79–85. 4 indexed citations
14.
Lee, Jeong-Woong, Sun A Ock, Sung-Soo Lee, et al.. (2013). Nucleofection-Mediated α1,3-galactosyltransferase Gene Inactivation and Membrane Cofactor Protein Expression for Pig-to-Primate Xenotransplantation. Animal Biotechnology. 24(4). 253–267. 11 indexed citations
15.
Lee, Seung Hwan, Dajeong Lim, Yong Min Cho, et al.. (2012). Prediction of genomic breeding values of carcass traits using whole genome SNP data in Hanwoo (Korean cattle). 39(3). 357–364. 2 indexed citations
16.
Park, Hyesun, Seongwon Seo, Yong Min Cho, et al.. (2012). Identification of Candidate Genes Associated with Beef Marbling Using QTL and Pathway Analysis in Hanwoo (Korean Cattle). Asian-Australasian Journal of Animal Sciences. 25(5). 613–620. 7 indexed citations
17.
Lee, Seung Hwan, J. H. J. van der Werf, Sang Lee, et al.. (2011). QTL and gene expression analyses identify genes affecting carcass weight and marbling on BTA14 in Hanwoo (Korean Cattle). Mammalian Genome. 22(9-10). 589–601. 16 indexed citations
18.
Lim, Dajeong, Hye‐Sun Park, Seung Hwan Lee, et al.. (2011). Identification of Candidate Genes related to Bovine Marbling using Protein-Protein Interaction Networks. International Journal of Biological Sciences. 7(7). 992–1002. 36 indexed citations
19.
Oh, Sung Jong, Jae Sung Park, Sei Chang Kim, et al.. (2010). Genetic diversity of tomato-infecting Tomato yellow leaf curl virus (TYLCV) isolates in Korea. Virus Genes. 42(1). 117–127. 21 indexed citations
20.

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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