Jae Sun Moon

3.7k total citations
156 papers, 2.8k citations indexed

About

Jae Sun Moon is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, Jae Sun Moon has authored 156 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Plant Science, 70 papers in Endocrinology and 32 papers in Molecular Biology. Recurrent topics in Jae Sun Moon's work include Plant Virus Research Studies (102 papers), Plant and Fungal Interactions Research (67 papers) and Plant Disease Resistance and Genetics (39 papers). Jae Sun Moon is often cited by papers focused on Plant Virus Research Studies (102 papers), Plant and Fungal Interactions Research (67 papers) and Plant Disease Resistance and Genetics (39 papers). Jae Sun Moon collaborates with scholars based in South Korea, Mongolia and United States. Jae Sun Moon's co-authors include Ingyu Hwang, Seungmo Lim, Jinwoo Kim, Schuyler S. Korban, Jung-Gun Kim, Okhee Choi, Tae-Seok Ko, Davaajargal Igori, Peter B. Goldsbrough and Su-Heon Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Jae Sun Moon

142 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae Sun Moon South Korea 28 2.1k 979 474 236 155 156 2.8k
Ye Xia China 29 2.1k 1.0× 1.2k 1.3× 130 0.3× 126 0.5× 181 1.2× 110 3.2k
Ling Qin China 30 2.0k 1.0× 1.9k 1.9× 195 0.4× 159 0.7× 86 0.6× 124 3.5k
Mondher El Jaziri Belgium 29 1.3k 0.6× 1.8k 1.9× 182 0.4× 76 0.3× 213 1.4× 115 3.1k
Guoliang Qian China 29 1.2k 0.6× 1.3k 1.3× 192 0.4× 77 0.3× 185 1.2× 111 2.5k
Kranthi K. Mandadi United States 25 1.4k 0.7× 982 1.0× 128 0.3× 151 0.6× 102 0.7× 70 2.1k
Shelly Praveen India 33 2.4k 1.1× 660 0.7× 324 0.7× 238 1.0× 148 1.0× 146 3.1k
Tomonobu Kusano Japan 42 3.4k 1.6× 2.9k 2.9× 94 0.2× 115 0.5× 146 0.9× 110 4.4k
Adam Schikora Germany 34 4.1k 2.0× 1.3k 1.4× 154 0.3× 57 0.2× 387 2.5× 76 4.9k
Danny Vereecke Belgium 26 1.7k 0.8× 966 1.0× 76 0.2× 66 0.3× 74 0.5× 57 2.3k
Baozhu Guo United States 43 4.5k 2.2× 1.5k 1.5× 99 0.2× 170 0.7× 132 0.9× 146 5.0k

Countries citing papers authored by Jae Sun Moon

Since Specialization
Citations

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

Fields of papers citing papers by Jae Sun Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Sun Moon. 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 Jae Sun Moon. The network helps show where Jae Sun Moon may publish in the future.

Co-authorship network of co-authors of Jae Sun Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Sun Moon. A scholar is included among the top collaborators of Jae Sun Moon 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 Jae Sun Moon. Jae Sun Moon 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.
Lee, Mi‐Hyun, et al.. (2023). Occurrence of black shoot blight in apple and pear trees in Korea. Korean Journal of Agricultural Science. 50(4). 723–734. 1 indexed citations
2.
Lee, Hong-Kyu, et al.. (2023). Metatranscriptome-Based Analysis of Viral Incidence in Jujube (Ziziphus jujuba) in Korea. Research in Plant Disease. 29(3). 276–285. 1 indexed citations
3.
Igori, Davaajargal, et al.. (2023). Genome sequence and characterization of a novel fabavirus infecting Cirsium setidens (gondre) in South Korea. Archives of Virology. 168(2). 77–77. 2 indexed citations
4.
Seo, Eun–Young, Jae Sun Moon, Kanghee Kim, et al.. (2022). Construction of full-length infectious cDNA clones of two Korean isolates of turnip mosaic virus breaking resistance in Brassica napus. Archives of Virology. 167(4). 1157–1162. 2 indexed citations
5.
Jung, Won Yong, Areum Lee, Jae Sun Moon, et al.. (2020). Gibberellin Promotes Bolting and Flowering via the Floral Integrators RsFT and RsSOC1-1 under Marginal Vernalization in Radish. Plants. 9(5). 594–594. 17 indexed citations
6.
Lee, Hong-Kyu, et al.. (2020). First Report of the Cycas Necrotic Stunt Virus Infecting Cnidium officinale in South Korea. Plant Disease. 104(12). 3275–3275. 6 indexed citations
7.
Lee, Hyo‐Jeong, et al.. (2019). Occurrence Pattern of Viral Infection on Pear in Korea and Genetic Characterization of Apple Scar Skin Viroid Isolates. Horticultural Science and Technology. 37(6). 767–778. 6 indexed citations
8.
Lim, Seungmo, Jeong Mee Park, Suk‐Yoon Kwon, et al.. (2019). Complete genome sequence of a tentative new member of the genus Badnavirus identified in Codonopsis lanceolata. Archives of Virology. 164(6). 1733–1737. 3 indexed citations
9.
10.
Igori, Davaajargal, et al.. (2016). The first complete sequence and genome structure of daphne virus Y. Archives of Virology. 161(10). 2905–2908. 2 indexed citations
11.
Yoo, Ran Hee, Fumei Zhao, Seungmo Lim, et al.. (2015). The complete genome sequences of two isolates of cnidium vein yellowing virus, a tentative new member of the family Secoviridae. Archives of Virology. 160(11). 2911–2914. 15 indexed citations
12.
Yi, So Young, Ken Shirasu, Jae Sun Moon, Seung‐Goo Lee, & Suk‐Yoon Kwon. (2014). The Activated SA and JA Signaling Pathways Have an Influence on flg22-Triggered Oxidative Burst and Callose Deposition. PLoS ONE. 9(2). e88951–e88951. 109 indexed citations
13.
Kim, Jinwoo, et al.. (2011). RICE SHEATH AND GRAIN ROT CAUSED BY BURKHOLDERIA GLADIOLI IN KOREA. Journal of Plant Pathology. 93. 4–87. 1 indexed citations
14.
Kim, Young Tae, Sung Eun Kim, Ki Duk Park, et al.. (2005). Investigation of possible horizontal gene transfer from the leaf tissue of transgenic potato to soil bacteria. Journal of Microbiology and Biotechnology. 15(5). 1130–1134. 3 indexed citations
15.
Jeong, Yeonhwa, et al.. (2005). Rsa1 Determines a Host Range of Ralstonia solanacearum. 157–158.
16.
Hwang, Eui Il, et al.. (2005). Isolation of sangivamycin from Streptomyces sp. A6497 and its herbicidal activity. Journal of Microbiology and Biotechnology. 15(2). 434–437. 3 indexed citations
17.
Hwang, Eui Il, et al.. (2005). Compound IKD-8344, a selective growth inhibitor against the mycelial form of Candida albicans, isolated from Streptomyces sp. A6792. Journal of Microbiology and Biotechnology. 15(4). 909–912. 5 indexed citations
18.
Jeong, Soon‐Chun, et al.. (2004). 유전자 변형 작물 성분 검출용 PCR Kit의 성능 평가 연구. Toxicological Research. 20(2). 101–108. 1 indexed citations
19.
Han, S.B., et al.. (2003). Characterization of B cell membrane receptors of polysaccharide isolated from the root of Acanthopanax koreanum. International Immunopharmacology. 3(5). 683–691. 55 indexed citations
20.
Moon, Jae Sun, Nancy K. McCoppin, & Leslie L. Domier. (2001). Role of Intergenic and 3`-Proximal Noncoding Regions in Coat Protein Expression and Replication of Barley yellow dwarf virus PAV. Plant Pathology Journal. 17(1). 22–28. 1 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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