Young‐Joo Seol

770 total citations
29 papers, 450 citations indexed

About

Young‐Joo Seol is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Young‐Joo Seol has authored 29 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Plant Science and 5 papers in Genetics. Recurrent topics in Young‐Joo Seol's work include Genomics and Phylogenetic Studies (10 papers), Plant Gene Expression Analysis (6 papers) and Plant-Microbe Interactions and Immunity (5 papers). Young‐Joo Seol is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Plant Gene Expression Analysis (6 papers) and Plant-Microbe Interactions and Immunity (5 papers). Young‐Joo Seol collaborates with scholars based in South Korea, Japan and India. Young‐Joo Seol's co-authors include Jeong‐Hwan Mun, Beom‐Seok Park, Myung‐Ho Lim, Mina Jin, Chang‐Kug Kim, Jang-Ho Hahn, Jin A. Kim, Beom‐Soon Choi, Joon Ki Hong and Hee‐Ju Yu and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Journal of Bacteriology.

In The Last Decade

Young‐Joo Seol

27 papers receiving 434 citations

Peers

Young‐Joo Seol

GENET

EEBS

Haijun Wu China

Shixin Xiao China

Jang-Ho Hahn South Korea

Elia Lacchini Belgium

Meilian Tan China

Hiromi Masuko Japan

Virginie Guyon United States

Mengnan Chai China

Marie‐Jeanne Carp Israel

Yuhui Dong China

Haijun Wu China

Young‐Joo Seol

557 ×1.6

361 ×1.2

15 ×0.5

GENET

28 ×1.1

26 ×1.2

EEBS

Citations per year, relative to Young‐Joo Seol Young‐Joo Seol (= 1×) peers Haijun Wu

Countries citing papers authored by Young‐Joo Seol

Since Specialization

Citations

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

Fields of papers citing papers by Young‐Joo Seol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Joo Seol. 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 Young‐Joo Seol. The network helps show where Young‐Joo Seol may publish in the future.

Co-authorship network of co-authors of Young‐Joo Seol

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kim, Sung‐Mi, et al.. (2023). Complete Genome Sequence of Ralstonia solanacearum WR-1, a Virulent Strain on Solanum lycopersicum. Microbiology Resource Announcements. 12(6). e0134522–e0134522. 1 indexed citations

Kim, Sung‐Mi, et al.. (2023). Complete Genome Sequence of Ralstonia solanacearum Strain Bs715, a Member of Biovar 4 and a Strong Pathogen of Bacterial Wilt on Solanum lycopersicum. Microbiology Resource Announcements. 12(2). e0088322–e0088322. 2 indexed citations

Son, Seungmin, et al.. (2020). Rice transcription factor WRKY114 directly regulates the expression of OsPR1a and Chitinase to enhance resistance against Xanthomonas oryzae pv. oryzae. Biochemical and Biophysical Research Communications. 533(4). 1262–1268. 17 indexed citations

Kwon, Taesoo, et al.. (2020). NGS_SNPAnalyzer: a desktop software supporting genome projects by identifying and visualizing sequence variations from next-generation sequencing data. Genes & Genomics. 42(11). 1311–1317. 1 indexed citations

Seol, Young‐Joo, et al.. (2017). The Effects of Health Management System on the Growth of Chicken Small Farm in Southwest States of Nigeria. Korean Journal of Poultry Science. 44(4). 225–233. 2 indexed citations

Seol, Young‐Joo, Tae‐Ho Lee, Dong‐Suk Park, & Chang‐Kug Kim. (2016). NABIC: A New Access Portal to Search, Visualize, and Share Agricultural Genomics Data. Evolutionary Bioinformatics. 12. 10 indexed citations

Kim, Chang‐Kug, Young‐Joo Seol, Younhee Shin, et al.. (2015). Whole-Genome Resequencing and Transcriptomic Analysis to Identify Genes Involved in Leaf-Color Diversity in Ornamental Rice Plants. PLoS ONE. 10(4). e0124071–e0124071. 12 indexed citations

Kim, Chang‐Kug, et al.. (2015). NABIC SNP: an integrated database for SNP markers. Bioinformation. 11(7). 369–372. 1 indexed citations

Kim, Chang‐Kug, Young‐Joo Seol, Dongjun Lee, et al.. (2014). AllergenPro: an integrated database for allergenicity analysis and prediction. Bioinformation. 10(6). 378–380. 4 indexed citations

10.

Kim, Chang‐Kug, et al.. (2014). RiceQTLPro: an integrated database for quantitative trait loci marker mapping in rice plant. Bioinformation. 10(10). 664–666. 2 indexed citations

11.

Kim, Chang‐Kug, et al.. (2013). NABIC marker database: A molecular markers information network of agricultural crops. Bioinformation. 9(17). 887–888. 2 indexed citations

12.

Kim, Chang‐Kug, et al.. (2012). An online database for genome information of agricultural plants. Bioinformation. 8(21). 1059–1061. 2 indexed citations

13.

Cho, Min Seok, Nam Han Her, Chang‐Kug Kim, et al.. (2012). A quantitative and direct PCR assay for the subspecies-specific detection of Clavibacter michiganensis subsp. michiganensis based on a ferredoxin reductase gene. The Journal of Microbiology. 50(3). 496–501. 4 indexed citations

14.

Kim, Jin A., Jung Sun Kim, Joon Ki Hong, et al.. (2012). Comparative mapping, genomic structure, and expression analysis of eight pseudo-response regulator genes in Brassica rapa. Molecular Genetics and Genomics. 287(5). 373–388. 22 indexed citations

15.

Park, Tae-Ho, Beom‐Seok Park, Joon Ki Hong, et al.. (2011). Construction of random sheared fosmid library from Chinese cabbage and its use for Brassica rapa genome sequencing project. Journal of genetics and genomics. 38(1). 47–53. 4 indexed citations

16.

Kim, Chang‐Kug, et al.. (2011). The integrated web service and genome database for agricultural plants with biotechnology information. Bioinformation. 6(6). 246–247.

17.

Kim, Chang‐Kug, et al.. (2010). An integrated database for the enhanced identification of silkworm gene resources. Bioinformation. 4(10). 436–437. 5 indexed citations

18.

Kim, Hyun Uk, Jin A Kim, Myung‐Ho Lim, et al.. (2009). Genome‐wide identification of glucosinolate synthesis genes inBrassica rapa. FEBS Journal. 276(13). 3559–3574. 93 indexed citations

19.

Mun, Jeong‐Hwan, Tae‐Jin Yang, Young‐Joo Seol, et al.. (2009). Genome-wide comparative analysis of the Brassica rapa gene space reveals genome shrinkage and differential loss of duplicated genes after whole genome triplication. Genome biology. 10(10). R111–R111. 172 indexed citations

20.

Kim, Chang‐Kug, et al.. (2009). An integrated database to enhance the identification of SNP markers for rice. Bioinformation. 4(6). 269–270. 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.

Explore authors with similar magnitude of impact