Sung‐Hwan Jo

552 total citations
19 papers, 321 citations indexed

About

Sung‐Hwan Jo is a scholar working on Plant Science, Molecular Biology and Surgery. According to data from OpenAlex, Sung‐Hwan Jo has authored 19 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 8 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Sung‐Hwan Jo's work include Plant Virus Research Studies (6 papers), Genomics and Phylogenetic Studies (5 papers) and Agricultural Practices and Plant Genetics (3 papers). Sung‐Hwan Jo is often cited by papers focused on Plant Virus Research Studies (6 papers), Genomics and Phylogenetic Studies (5 papers) and Agricultural Practices and Plant Genetics (3 papers). Sung‐Hwan Jo collaborates with scholars based in South Korea, United States and Ethiopia. Sung‐Hwan Jo's co-authors include Jeong-Hee Lee, Bomi Lee, Sang‐Keun Oh, Doil Choi, Byoung‐Cheorl Kang, Jin‐Kyung Kwon, Bo‐Keun Ha, Jang‐Kyun Seo, Hee‐Bum Yang and Won‐Hee Kang and has published in prestigious journals such as PLoS ONE, Genetics and International Journal of Molecular Sciences.

In The Last Decade

Sung‐Hwan Jo

18 papers receiving 309 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‐Hwan Jo South Korea 9 264 120 47 21 14 19 321
Jung‐Heon Han South Korea 14 440 1.7× 150 1.3× 92 2.0× 16 0.8× 29 2.1× 31 488
Suresh N. Sondur India 6 256 1.0× 79 0.7× 86 1.8× 10 0.5× 26 1.9× 8 308
Heng Ye United States 8 511 1.9× 196 1.6× 94 2.0× 4 0.2× 8 0.6× 9 575
Naveen Singh India 7 218 0.8× 82 0.7× 60 1.3× 6 0.3× 2 0.1× 32 248
Haizheng Xiong United States 13 423 1.6× 53 0.4× 50 1.1× 3 0.1× 15 1.1× 35 470
Young A Choi Japan 8 317 1.2× 223 1.9× 76 1.6× 15 0.7× 66 4.7× 14 404
Eduviges Borroto Fernandez Austria 9 233 0.9× 96 0.8× 21 0.4× 51 2.4× 28 2.0× 20 275
Hongli Yang China 11 422 1.6× 265 2.2× 55 1.2× 6 0.3× 6 0.4× 27 501
Mélanie Jubault France 12 501 1.9× 145 1.2× 11 0.2× 61 2.9× 38 2.7× 14 526

Countries citing papers authored by Sung‐Hwan Jo

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Hwan Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung‐Hwan Jo

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

All Works

19 of 19 papers shown
1.
Koo, Hyun‐Na, Gil‐Hah Kim, Dongyoung Kim, et al.. (2024). A genomic investigation on the origins of the Korean brown planthopper, Nilaparvata lugens (Stål) (Hemiptera: Delphasidae). Entomological Research. 54(5). 1 indexed citations
2.
Kim, Seong‐Hoon, et al.. (2023). Transcriptome Analysis of Differentially Expressed Genes Associated with Salt Stress in Cowpea (Vigna unguiculata L.) during the Early Vegetative Stage. International Journal of Molecular Sciences. 24(5). 4762–4762. 10 indexed citations
3.
Kim, Ji Eun, et al.. (2023). Development of an SNP marker set for marker-assisted backcrossing using genotyping-by-sequencing in tetraploid perilla. Molecular Genetics and Genomics. 298(6). 1435–1447. 2 indexed citations
4.
Lee, Bomi, et al.. (2020). Tag-SNP selection and online database construction for haplotype-based marker development in tomato. Journal of Plant Biotechnology. 47(3). 218–226. 1 indexed citations
5.
Lee, Bomi, Moon Suk Nam, Ki-Won Oh, et al.. (2019). Identification of quantitative trait loci associated with flowering time in perilla using genotyping-by-sequencing. Molecular Biology Reports. 46(4). 4397–4407. 8 indexed citations
6.
Ryu, Jaihyunk, Sang Hun Kim, Si‐Yong Kang, et al.. (2018). Molecular characterization of proton beam-induced mutations in soybean using genotyping-by-sequencing. Molecular Genetics and Genomics. 293(5). 1169–1180. 19 indexed citations
7.
Jo, Sung‐Hwan, et al.. (2018). Development of SNP marker set for markerassisted backcrossing (MABC) in cultivating tomato varieties. Korean Journal of Agricultural Science. 45(3). 385–400. 3 indexed citations
8.
9.
Cho, Kang Hee, et al.. (2017). Evaluation of Major Fruit Traits in Progenies Derived from a Cross between ‘Tano Red’ and ‘Ruby Seedless’ Grapevines(Vitis spp.). Korean Journal of Breeding Science. 49(4). 324–333. 1 indexed citations
10.
Lee, Kyung Jun, Dong Sub Kim, Jin‐Baek Kim, et al.. (2016). Identification of candidate genes for an early-maturing soybean mutant by genome resequencing analysis. Molecular Genetics and Genomics. 291(4). 1561–1571. 20 indexed citations
11.
Kim, Hyun A, Ah-Young Shin, Hee-Jeong Lee, et al.. (2016). De Novo Transcriptome Analysis of Cucumis melo L. var. makuwa. Molecules and Cells. 39(2). 141–148. 6 indexed citations
12.
Lee, Woo Kyung, Sangmi Kim, Myoung Hee Lee, et al.. (2016). De novogene set assembly of the transcriptome of diploid, oilseed-crop speciesPerilla citriodora. Journal of Plant Biotechnology. 43(3). 293–301. 4 indexed citations
13.
Kim, Hyun A, et al.. (2014). High-Throughput Sequencing and De Novo Assembly of Brassica oleracea var. Capitata L. for Transcriptome Analysis. PLoS ONE. 9(3). e92087–e92087. 35 indexed citations
14.
Oh, Sang‐Keun, et al.. (2014). Genome-Wide SNP Calling Using Next Generation Sequencing Data in Tomato. Molecules and Cells. 37(1). 36–42. 82 indexed citations
15.
Kim, Ji-Eun, et al.. (2013). Genome-wide SNP Database for Marker-assisted Background Selection in Tomato. Korean Journal of Breeding Science. 45(3). 232–239. 7 indexed citations
16.
Seo, Eun–Young, Seon‐In Yeom, Sung‐Hwan Jo, et al.. (2012). Ectopic Expression of Capsicum-Specific Cell Wall Protein Capsicum annuum Senescence-Delaying 1 (CaSD1) Delays Senescence and Induces Trichome Formation in Nicotiana benthamiana. Molecules and Cells. 33(4). 415–422. 5 indexed citations
17.
Park, Minkyu, Sung‐Hwan Jo, Jin‐Kyung Kwon, et al.. (2011). Comparative analysis of pepper and tomato reveals euchromatin expansion of pepper genome caused by differential accumulation of Ty3/Gypsy-like elements. BMC Genomics. 12(1). 85–85. 27 indexed citations
18.
Kang, Won‐Hee, Hee‐Bum Yang, Jin‐Kyung Kwon, et al.. (2010). Molecular mapping and characterization of a single dominant gene controlling CMV resistance in peppers (Capsicum annuum L.). Theoretical and Applied Genetics. 120(8). 1587–1596. 57 indexed citations
19.
Koo, Dal‐Hoe, Sung‐Hwan Jo, Jae-Wook Bang, et al.. (2008). Integration of Cytogenetic and Genetic Linkage Maps Unveils the Physical Architecture of Tomato Chromosome 2. Genetics. 179(3). 1211–1220. 30 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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