Seongbeom Kim

543 total citations
19 papers, 392 citations indexed

About

Seongbeom Kim is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Seongbeom Kim has authored 19 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 13 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Seongbeom Kim's work include Plant-Microbe Interactions and Immunity (14 papers), Fungal and yeast genetics research (11 papers) and Plant Pathogens and Fungal Diseases (7 papers). Seongbeom Kim is often cited by papers focused on Plant-Microbe Interactions and Immunity (14 papers), Fungal and yeast genetics research (11 papers) and Plant Pathogens and Fungal Diseases (7 papers). Seongbeom Kim collaborates with scholars based in South Korea, United States and Puerto Rico. Seongbeom Kim's co-authors include Yong‐Hwan Lee, Junhyun Jeon, Jaeyoung Choi, Sook‐Young Park, Jongbum Jeon, Seomun Kwon, Ki‐Tae Kim, Hyunjung Chung, Seogchan Kang and Gobong Choi and has published in prestigious journals such as Nature Communications, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Seongbeom Kim

18 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seongbeom Kim South Korea 11 332 199 132 40 18 19 392
Kyeongchae Cheong South Korea 10 315 0.9× 142 0.7× 168 1.3× 51 1.3× 21 1.2× 12 378
Xuli Gao China 7 316 1.0× 258 1.3× 156 1.2× 54 1.4× 16 0.9× 14 410
Franziska Rabe Austria 3 466 1.4× 190 1.0× 149 1.1× 21 0.5× 21 1.2× 4 520
Shanyue Zhou China 10 380 1.1× 126 0.6× 112 0.8× 29 0.7× 22 1.2× 20 422
David Segorbe Spain 6 297 0.9× 191 1.0× 138 1.0× 68 1.7× 19 1.1× 7 373
Petra Happel Germany 7 372 1.1× 212 1.1× 151 1.1× 24 0.6× 13 0.7× 10 444
Wende Liu China 14 437 1.3× 272 1.4× 186 1.4× 68 1.7× 23 1.3× 35 556
Minfeng Xue China 9 407 1.2× 185 0.9× 139 1.1× 40 1.0× 19 1.1× 12 484
Peisong Jia China 4 347 1.0× 167 0.8× 133 1.0× 23 0.6× 13 0.7× 15 394
Yuxing Wu China 8 355 1.1× 153 0.8× 174 1.3× 29 0.7× 24 1.3× 11 407

Countries citing papers authored by Seongbeom Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seongbeom Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seongbeom Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Seongbeom Kim. A scholar is included among the top collaborators of Seongbeom 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 Seongbeom Kim. Seongbeom Kim 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.
Choi, Gobong, et al.. (2024). Nuclear localization sequence of MoHTR1, a Magnaporthe oryzae effector, for transcriptional reprogramming of immunity genes in rice. Nature Communications. 15(1). 9764–9764. 3 indexed citations
2.
Woo, Jongchan, Seongbeom Kim, Yurong Li, et al.. (2024). Attenuation of phytofungal pathogenicity of Ascomycota by autophagy modulators. Nature Communications. 15(1). 1621–1621. 6 indexed citations
3.
Völz, Ronny, et al.. (2023). The nuclear effector MoHTR3 of Magnaporthe oryzae modulates host defence signalling in the biotrophic stage of rice infection. Molecular Plant Pathology. 24(6). 602–615. 7 indexed citations
4.
Kim, Seongbeom, et al.. (2023). Nuclear effectors of plant pathogens: Distinct strategies to be one step ahead. Molecular Plant Pathology. 24(6). 637–650. 19 indexed citations
5.
Jeon, Jongbum, Ki‐Tae Kim, Jaeyoung Choi, et al.. (2022). Alternative splicing diversifies the transcriptome and proteome of the rice blast fungus during host infection. RNA Biology. 19(1). 373–386. 18 indexed citations
6.
Han, Joon-Hee, et al.. (2021). The Membrane-Bound Protein, MoAfo1, Is Involved in Sensing Diverse Signals from Different Surfaces in the Rice Blast Fungus. The Plant Pathology Journal. 37(2). 87–98. 6 indexed citations
7.
Kim, Chi‐Yeol, Ju Young Park, Gobong Choi, et al.. (2021). A rice gene encoding glycosyl hydrolase plays contrasting roles in immunity depending on the type of pathogens. Molecular Plant Pathology. 23(3). 400–416. 23 indexed citations
8.
Kim, Seongbeom, Ki‐Tae Kim, Jongbum Jeon, et al.. (2020). Two nuclear effectors of the rice blast fungus modulate host immunity via transcriptional reprogramming. Nature Communications. 11(1). 5845–5845. 98 indexed citations
9.
Jeon, Jongbum, Gir-Won Lee, Ki‐Tae Kim, et al.. (2019). Transcriptome Profiling of the Rice Blast Fungus Magnaporthe oryzae and Its Host Oryza sativa During Infection. Molecular Plant-Microbe Interactions. 33(2). 141–144. 30 indexed citations
10.
Chung, Hyunjung, et al.. (2019). A novel approach to investigate hypoxic microenvironment during rice colonization by Magnaporthe oryzae. Environmental Microbiology. 21(3). 1151–1169. 11 indexed citations
11.
Kim, Backki, Jeonghwan Seo, Seongbeom Kim, et al.. (2018). Identification of a Spotted Leaf Sheath Gene Involved in Early Senescence and Defense Response in Rice. Frontiers in Plant Science. 9. 1274–1274. 21 indexed citations
12.
Kwon, Seomun, Jaejoon Lee, Jongbum Jeon, et al.. (2018). Role of the Histone Acetyltransferase Rtt109 in Development and Pathogenicity of the Rice Blast Fungus. Molecular Plant-Microbe Interactions. 31(11). 1200–1210. 27 indexed citations
13.
Dubey, Akanksha, et al.. (2017). MoJMJ1, Encoding a Histone Demethylase Containing JmjC Domain, Is Required for Pathogenic Development of the Rice Blast Fungus, Magnaporthe oryzae. The Plant Pathology Journal. 33(2). 193–205. 14 indexed citations
14.
Park, Sook‐Young, et al.. (2015). Systematic characterization of the peroxidase gene family provides new insights into fungal pathogenicity in Magnaporthe oryzae. Scientific Reports. 5(1). 11831–11831. 75 indexed citations
15.
Guo, Fei, et al.. (2015). Proactively Breaking Large Pages to Improve Memory Overcommitment Performance in VMware ESXi. ACM SIGPLAN Notices. 50(7). 39–51.
16.
Park, Jaejin, Seongbeom Kim, Seomun Kwon, & Yong‐Hwan Lee. (2014). A quick and accurate screening method for fungal gene-deletion mutants by direct, priority-based, and inverse PCRs. Journal of Microbiological Methods. 105. 39–41. 4 indexed citations
17.
Jeon, Junhyun, et al.. (2014). Role of MoAND1-mediated nuclear positioning in morphogenesis and pathogenicity in the rice blast fungus, Magnaporthe oryzae. Fungal Genetics and Biology. 69. 43–51. 16 indexed citations
18.
Jeon, Junhyun, et al.. (2014). Analysis of in planta Expressed Orphan Genes in the Rice Blast Fungus Magnaporthe oryzae. The Plant Pathology Journal. 30(4). 367–374. 5 indexed citations
19.
Kim, Seongbeom, et al.. (2011). Antiinflammatory and Antiallergic Activity of Fermented Turmeric by Lactobacillus johnsonii IDCC 9203. 39(3). 266–273. 9 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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