Seoae Cho

3.5k total citations
78 papers, 1.9k citations indexed

About

Seoae Cho is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Seoae Cho has authored 78 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Genetics, 35 papers in Molecular Biology and 15 papers in Animal Science and Zoology. Recurrent topics in Seoae Cho's work include Genetic and phenotypic traits in livestock (32 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers) and Genomics and Phylogenetic Studies (13 papers). Seoae Cho is often cited by papers focused on Genetic and phenotypic traits in livestock (32 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers) and Genomics and Phylogenetic Studies (13 papers). Seoae Cho collaborates with scholars based in South Korea, United States and Puerto Rico. Seoae Cho's co-authors include Heebal Kim, Olivier Hanotte, Okeyo Mwai, Young-Jun Kwon, Taesung Park, Minseok Seo, Kelsey Caetano-Anollés, Hak‐Kyo Lee, Woori Kwak and Sung Jong Oh and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Seoae Cho

77 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seoae Cho South Korea 24 892 723 384 273 261 78 1.9k
Mengjin Zhu China 21 970 1.1× 1.0k 1.4× 511 1.3× 502 1.8× 218 0.8× 106 2.4k
Shujun Zhang China 26 509 0.6× 974 1.3× 282 0.7× 249 0.9× 264 1.0× 132 2.2k
Stephanie McKay United States 25 1.7k 1.9× 584 0.8× 461 1.2× 430 1.6× 254 1.0× 55 2.4k
Jianguo Zhao China 29 706 0.8× 2.1k 2.9× 519 1.4× 158 0.6× 204 0.8× 133 3.2k
Jonathan E. Beever United States 25 1.2k 1.3× 705 1.0× 398 1.0× 213 0.8× 156 0.6× 86 2.0k
Brenda M. Murdoch United States 28 1.8k 2.0× 506 0.7× 388 1.0× 473 1.7× 397 1.5× 97 2.6k
J.W.M. Bastiaansen Netherlands 31 2.0k 2.2× 484 0.7× 513 1.3× 237 0.9× 760 2.9× 117 2.7k
Rowan J. Bunch Australia 25 1.2k 1.3× 326 0.5× 235 0.6× 300 1.1× 409 1.6× 44 1.9k
Ana I. Fernández Spain 29 1.6k 1.8× 868 1.2× 313 0.8× 425 1.6× 698 2.7× 103 2.7k
Marco Antônio Machado Brazil 26 1.0k 1.1× 281 0.4× 335 0.9× 175 0.6× 232 0.9× 127 1.8k

Countries citing papers authored by Seoae Cho

Since Specialization
Citations

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

Fields of papers citing papers by Seoae Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seoae Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Seoae Cho. A scholar is included among the top collaborators of Seoae 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 Seoae Cho. Seoae 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.
Ryu, Sangryeol, et al.. (2023). Complete Genome Sequence of Staphylococcus aureus strain 21SAU_AGRO3 Isolated from Korean Agricultural Products. Microbiology and Biotechnology Letters. 51(4). 555–558. 1 indexed citations
2.
Kwon, Taehyung, Kwondo Kim, Kelsey Caetano-Anollés, et al.. (2022). Mitonuclear incompatibility as a hidden driver behind the genome ancestry of African admixed cattle. BMC Biology. 20(1). 20–20. 10 indexed citations
3.
Lee, Chul, et al.. (2022). In silico SARS-CoV-2 vaccine development for Omicron strain using reverse vaccinology. Genes & Genomics. 44(8). 937–944. 4 indexed citations
4.
Ahn, Hyeonju, et al.. (2020). Enhanced Symbiotic Characteristics in Bacterial Genomes with the Disruption of rRNA Operon. Biology. 9(12). 440–440. 6 indexed citations
5.
Jung, Jaehoon, Kwondo Kim, DongAhn Yoo, et al.. (2017). Comparative genome analysis of Lactobacillus plantarum GB-LP3 provides candidates of survival-related genetic factors. Infection Genetics and Evolution. 53. 218–226. 6 indexed citations
6.
Yoo, DongAhn, Valerie Diane Valeriano, Ju Kyoung Oh, et al.. (2017). Complete genome analysis of Lactobacillus fermentum SK152 from kimchi reveals genes associated with its antimicrobial activity. FEMS Microbiology Letters. 364(18). 20 indexed citations
7.
Kim, Jaemin, Donghyun Shin, Seoae Cho, et al.. (2017). Complete mitochondrial genome sequences of Korean native horse from Jeju Island: uncovering the spatio-temporal dynamics. Molecular Biology Reports. 44(2). 233–242. 6 indexed citations
8.
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
9.
Kim, Kwondo, et al.. (2015). Application of LogitBoost Classifier for Traceability Using SNP Chip Data. PLoS ONE. 10(10). e0139685–e0139685. 13 indexed citations
10.
Moon, Sunjin, Tae Hun Kim, Kyung‐Tai Lee, et al.. (2015). A genome-wide scan for signatures of directional selection in domesticated pigs. BMC Genomics. 16(1). 130–130. 54 indexed citations
11.
Jeong, Hyeonsoo, Samsun Sung, Taehyung Kwon, et al.. (2015). HGTree: database of horizontally transferred genes determined by tree reconciliation. Nucleic Acids Research. 44(D1). D610–D619. 30 indexed citations
12.
Jeong, Hyeonsoo, Ki‐Duk Song, Minseok Seo, et al.. (2015). Exploring evidence of positive selection reveals genetic basis of meat quality traits in Berkshire pigs through whole genome sequencing. BMC Genetics. 16(1). 104–104. 33 indexed citations
13.
Seo, Minseok, Hyun Jeong Lee, Kwondo Kim, et al.. (2015). Characterizing Milk Production Related Genes in Holstein Using RNA-seq. Asian-Australasian Journal of Animal Sciences. 29(3). 343–351. 25 indexed citations
14.
Park, Woncheoul, Jaemin Kim, Hyeon Jeong Kim, et al.. (2014). Investigation of De Novo Unique Differentially Expressed Genes Related to Evolution in Exercise Response during Domestication in Thoroughbred Race Horses. PLoS ONE. 9(3). e91418–e91418. 19 indexed citations
15.
Kim, Hyo‐Young, et al.. (2014). VCS: Tool for Visualizing Copy Number Variation and Single Nucleotide Polymorphism. Asian-Australasian Journal of Animal Sciences. 27(12). 1691–1694. 1 indexed citations
16.
Kwak, Woori, Daewon Kim, Jinsu Hong, et al.. (2014). Genome-wide DNA Methylation Profiles of Small Intestine and Liver in Fast-growing and Slow-growing Weaning Piglets. Asian-Australasian Journal of Animal Sciences. 27(11). 1532–1539. 7 indexed citations
17.
Choi, Hyunbong, et al.. (2013). Metagenome Analysis of Protein Domain Collocation within Cellulase Genes of Goat Rumen Microbes. Asian-Australasian Journal of Animal Sciences. 26(8). 1144–1151. 19 indexed citations
18.
19.
Moon, Sunjin, Seoae Cho, & Heebal Kim. (2008). Organization and evolution of mitochondrial gene clusters in human. Genomics. 92(2). 85–93. 1 indexed citations
20.
Lee, Bo Ram, Heebal Kim, Tae Sub Park, et al.. (2007). A set of stage-specific gene transcripts identified in EK stage X and HH stage 3 chick embryos. BMC Developmental Biology. 7(1). 60–60. 21 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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