Seungill Kim

6.5k total citations
29 papers, 823 citations indexed

About

Seungill Kim is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Seungill Kim has authored 29 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 15 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Seungill Kim's work include Plant Virus Research Studies (8 papers), Plant-Microbe Interactions and Immunity (7 papers) and Plant Molecular Biology Research (6 papers). Seungill Kim is often cited by papers focused on Plant Virus Research Studies (8 papers), Plant-Microbe Interactions and Immunity (7 papers) and Plant Molecular Biology Research (6 papers). Seungill Kim collaborates with scholars based in South Korea, United States and Japan. Seungill Kim's co-authors include Doil Choi, Seon‐In Yeom, Eun–Young Seo, Byoung‐Cheorl Kang, Hyun-Ah Lee, Won‐Hee Kang, Jin‐Kyung Kwon, Hee‐Bum Yang, Hee-Jin Jeong and Sungmin Kang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Seungill Kim

29 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seungill Kim South Korea 15 735 286 103 37 32 29 823
Seon‐In Yeom South Korea 18 940 1.3× 325 1.1× 43 0.4× 73 2.0× 37 1.2× 36 1.0k
Elena Zuriaga Spain 17 543 0.7× 339 1.2× 54 0.5× 67 1.8× 55 1.7× 33 655
Yazhong Jin China 14 415 0.6× 280 1.0× 45 0.4× 37 1.0× 13 0.4× 19 518
Jingbin Jiang China 19 671 0.9× 282 1.0× 48 0.5× 110 3.0× 11 0.3× 52 755
Jingfu Li China 20 1.0k 1.4× 453 1.6× 50 0.5× 150 4.1× 14 0.4× 69 1.1k
Ziniu Deng China 6 582 0.8× 419 1.5× 75 0.7× 155 4.2× 14 0.4× 10 789
T. Greg McCollum United States 11 463 0.6× 155 0.5× 25 0.2× 84 2.3× 16 0.5× 14 530
G. Kalloo India 12 589 0.8× 138 0.5× 107 1.0× 70 1.9× 26 0.8× 45 672
Hoy‐Taek Kim South Korea 20 990 1.3× 588 2.1× 148 1.4× 119 3.2× 44 1.4× 91 1.2k
Jung‐Heon Han South Korea 14 440 0.6× 150 0.5× 92 0.9× 29 0.8× 16 0.5× 31 488

Countries citing papers authored by Seungill Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seungill Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seungill Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Seungill Kim. A scholar is included among the top collaborators of Seungill Kim 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 Seungill Kim. Seungill Kim 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.
Park, Young-Soo, et al.. (2024). Identification and expression analyses of B3 genes reveal lineage-specific evolution and potential roles of REM genes in pepper. BMC Plant Biology. 24(1). 201–201. 3 indexed citations
2.
Choi, Jinwook, et al.. (2023). Comparative and expression analyses of AP2/ERF genes reveal copy number expansion and potential functions of ERF genes in Solanaceae. BMC Plant Biology. 23(1). 48–48. 10 indexed citations
3.
Hong, Woo‐Jong, et al.. (2023). Genomic basis of multiphase evolution driving divergent selection of zinc-finger homeodomain genes. Nucleic Acids Research. 51(14). 7424–7437. 3 indexed citations
4.
Kim, Seungill, et al.. (2022). Identification of novel PHD-finger genes in pepper by genomic re-annotation and comparative analyses. BMC Plant Biology. 22(1). 206–206. 9 indexed citations
5.
Choi, Jinwook, et al.. (2022). De novo phasing resolves haplotype sequences in complex plant genomes. Plant Biotechnology Journal. 20(6). 1031–1041. 20 indexed citations
6.
Min, Cheol Woo, Ravi Gupta, Gihyun Lee, et al.. (2021). Optimization of Protein Isolation and Label-Free Quantitative Proteomic Analysis in Four Different Tissues of Korean Ginseng. Plants. 10(7). 1409–1409. 7 indexed citations
7.
8.
Kim, Myung‐Shin, Soohyun Oh, Jihyun Kim, et al.. (2021). Comparative analysis of de novo genomes reveals dynamic intra-species divergence of NLRs in pepper. BMC Plant Biology. 21(1). 247–247. 9 indexed citations
9.
Kim, Su-Jung, Jiseong Kim, Jeongeun Lee, et al.. (2020). Functional genomics by integrated analysis of transcriptome of sweet potato (Ipomoea batatas (L.) Lam.) during root formation. Genes & Genomics. 42(5). 581–596. 5 indexed citations
10.
Shin, Ah-Young, Namjin Koo, Seungill Kim, et al.. (2019). Draft genome sequences of two oriental melons, Cucumis melo L. var. makuwa. Scientific Data. 6(1). 220–220. 14 indexed citations
11.
Kim, Myung‐Shin, Seungill Kim, Jongbum Jeon, et al.. (2018). Global gene expression profiling for fruit organs and pathogen infections in the pepper, Capsicum annuum L.. Scientific Data. 5(1). 180103–180103. 28 indexed citations
12.
Kang, Won‐Hee, Seungill Kim, Hyun-Ah Lee, Doil Choi, & Seon‐In Yeom. (2016). Genome-wide analysis of Dof transcription factors reveals functional characteristics during development and response to biotic stresses in pepper. Scientific Reports. 6(1). 33332–33332. 70 indexed citations
13.
Han, Koeun, Hee-Jin Jeong, Hee‐Bum Yang, et al.. (2016). An ultra-high-density bin map facilitates high-throughput QTL mapping of horticultural traits in pepper (Capsicum annuum). DNA Research. 23(2). 81–91. 90 indexed citations
14.
15.
Kim, June‐Sik, Seungill Kim, Hosub Shin, et al.. (2015). De Novo Transcriptome Analysis to Identify Anthocyanin Biosynthesis Genes Responsible for Tissue-Specific Pigmentation in Zoysiagrass (Zoysia japonica Steud.). PLoS ONE. 10(4). e0124497–e0124497. 32 indexed citations
16.
Strauß, T, Remco M. P. Van Poecke, Patrick Römer, et al.. (2012). RNA-seq pinpoints a Xanthomonas TAL-effector activated resistance gene in a large-crop genome. Proceedings of the National Academy of Sciences. 109(47). 19480–19485. 97 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.
Park, Minkyu, Jongsun Park, Seungill Kim, et al.. (2011). Evolution of the large genome in Capsicum annuum occurred through accumulation of single‐type long terminal repeat retrotransposons and their derivatives. The Plant Journal. 69(6). 1018–1029. 40 indexed citations
19.
Kim, Byoung Kwon, Jung‐Heon Han, Seungill Kim, et al.. (2010). Trichome density of main stem is tightly linked to PepMoV resistance in chili pepper (Capsicum annuum L.). Theoretical and Applied Genetics. 122(6). 1051–1058. 33 indexed citations
20.
Jung, Kyongyong, Jongsun Park, Jaeyoung Choi, et al.. (2008). SNUGB: a versatile genome browser supporting comparative and functional fungal genomics. BMC Genomics. 9(1). 586–586. 13 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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