Seongmun Jeong

694 total citations
14 papers, 327 citations indexed

About

Seongmun Jeong is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Seongmun Jeong has authored 14 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Seongmun Jeong's work include Genetic and phenotypic traits in livestock (4 papers), Molecular Biology Techniques and Applications (3 papers) and Epigenetics and DNA Methylation (2 papers). Seongmun Jeong is often cited by papers focused on Genetic and phenotypic traits in livestock (4 papers), Molecular Biology Techniques and Applications (3 papers) and Epigenetics and DNA Methylation (2 papers). Seongmun Jeong collaborates with scholars based in South Korea and United States. Seongmun Jeong's co-authors include Namshin Kim, Jae‐Yoon Kim, Kyoung Hyoun Kim, Jung‐Kyung Moon, Soon‐Chun Jeong, Sung‐Taeg Kang, Hoyeon Lee, Wonshik Han, Dong‐Young Noh and Tae-Kyung Yoo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Breast Cancer Research and Treatment.

In The Last Decade

Seongmun Jeong

14 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seongmun Jeong South Korea 9 121 119 103 57 34 14 327
Shuo Sun China 11 183 1.5× 45 0.4× 139 1.3× 41 0.7× 10 0.3× 28 373
Peng Guo China 13 37 0.3× 117 1.0× 164 1.6× 163 2.9× 44 1.3× 37 386
Qi-Gang Li China 8 76 0.6× 79 0.7× 126 1.2× 34 0.6× 9 0.3× 10 257
Oscar Junhong Luo China 11 61 0.5× 105 0.9× 303 2.9× 49 0.9× 20 0.6× 37 460
Fangyuan Liu China 10 37 0.3× 30 0.3× 122 1.2× 32 0.6× 32 0.9× 45 269
Guoyue Chen China 10 257 2.1× 53 0.4× 61 0.6× 18 0.3× 12 0.4× 43 340
Kathy L.E. Klos United States 13 85 0.7× 127 1.1× 85 0.8× 29 0.5× 7 0.2× 19 371
Yifei Shen China 11 111 0.9× 44 0.4× 117 1.1× 53 0.9× 68 2.0× 25 397
Ping Fan China 9 37 0.3× 39 0.3× 176 1.7× 95 1.7× 14 0.4× 22 346

Countries citing papers authored by Seongmun Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Seongmun Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seongmun Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Seongmun Jeong. A scholar is included among the top collaborators of Seongmun Jeong 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 Seongmun Jeong. Seongmun Jeong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Lee, Hoyeon, et al.. (2020). Gene Expression Profile in Similar Tissues Using Transcriptome Sequencing Data of Whole-Body Horse Skeletal Muscle. Genes. 11(11). 1359–1359. 3 indexed citations
2.
Kim, Kyoung Hyoun, Jae‐Yoon Kim, Seongmun Jeong, et al.. (2020). Genome-wide association and epistatic interactions of flowering time in soybean cultivar. PLoS ONE. 15(1). e0228114–e0228114. 27 indexed citations
3.
Jeong, Seongmun, Jae‐Yoon Kim, & Namshin Kim. (2020). GMStool: GWAS-based marker selection tool for genomic prediction from genomic data. Scientific Reports. 10(1). 19653–19653. 42 indexed citations
5.
Jeong, Namhee, Seongmun Jeong, Jae‐Yoon Kim, et al.. (2019). Korean soybean core collection: Genotypic and phenotypic diversity population structure and genome-wide association study. PLoS ONE. 14(10). e0224074–e0224074. 44 indexed citations
6.
Go, Tae‐Hwa, San Hui Lee, Juwon Kim, et al.. (2019). Association between Serum Urate and Risk of Hypertension in Menopausal Women with XDH Gene. Journal of Clinical Medicine. 8(5). 738–738. 5 indexed citations
8.
Kim, Jae‐Yoon, et al.. (2019). Discovery of Genomic Characteristics and Selection Signatures in Korean Indigenous Goats Through Comparison of 10 Goat Breeds. Frontiers in Genetics. 10. 699–699. 20 indexed citations
9.
Jeong, Seongmun, et al.. (2017). SEXCMD: Development and validation of sex marker sequences for whole-exome/genome and RNA sequencing. PLoS ONE. 12(9). e0184087–e0184087. 5 indexed citations
10.
Yang, Tae Young & Seongmun Jeong. (2017). Controlling the false-discovery rate by procedures adapted to the length bias of RNA-Seq. Journal of the Korean Statistical Society. 47(1). 13–23. 2 indexed citations
11.
Jeong, Seongmun, Jae‐Yoon Kim, Soon‐Chun Jeong, et al.. (2017). GenoCore: A simple and fast algorithm for core subset selection from large genotype datasets. PLoS ONE. 12(7). e0181420–e0181420. 40 indexed citations
12.
Moon, Hyeong‐Gon, Namshin Kim, Seongmun Jeong, et al.. (2015). The Clinical Significance and Molecular Features of the Spatial Tumor Shapes in Breast Cancers. PLoS ONE. 10(12). e0143811–e0143811. 21 indexed citations
13.
Moon, Hyeong‐Gon, Keunhee Oh, Tae-Kyung Yoo, et al.. (2015). Prognostic and functional importance of the engraftment-associated genes in the patient-derived xenograft models of triple-negative breast cancers. Breast Cancer Research and Treatment. 154(1). 13–22. 47 indexed citations
14.
Yang, Tae Young & Seongmun Jeong. (2013). Grouped False-Discovery Rate for Removing the Gene-set-Level Bias of RNA-seq. Evolutionary Bioinformatics. 9. 467–78. 3 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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