Jae‐Soon Cha

781 total citations
39 papers, 622 citations indexed

About

Jae‐Soon Cha is a scholar working on Plant Science, Cell Biology and Pharmacology. According to data from OpenAlex, Jae‐Soon Cha has authored 39 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 14 papers in Cell Biology and 7 papers in Pharmacology. Recurrent topics in Jae‐Soon Cha's work include Plant Pathogenic Bacteria Studies (23 papers), Plant-Microbe Interactions and Immunity (20 papers) and Plant Pathogens and Fungal Diseases (14 papers). Jae‐Soon Cha is often cited by papers focused on Plant Pathogenic Bacteria Studies (23 papers), Plant-Microbe Interactions and Immunity (20 papers) and Plant Pathogens and Fungal Diseases (14 papers). Jae‐Soon Cha collaborates with scholars based in South Korea, United States and India. Jae‐Soon Cha's co-authors include Donald A. Cooksey, Lian‐Hui Zhang, Ya‐Wen He, Jien Wu, H. R. Azad, Jung‐Hee Cho, Kyu‐Ock Yim, Seungdon Lee, Chang‐Sik Oh and Vance M. Whitaker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

In The Last Decade

Jae‐Soon Cha

36 papers receiving 588 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jae‐Soon Cha 422 177 77 63 57 39 622
Valdirene Neves Monteiro 369 0.9× 186 1.1× 126 1.6× 31 0.5× 33 0.6× 16 605
Medhat Rehan 463 1.1× 108 0.6× 24 0.3× 22 0.3× 40 0.7× 47 631
Efstathios A. Katsifas 162 0.4× 203 1.1× 74 1.0× 15 0.2× 86 1.5× 24 522
Kuan Yan 279 0.7× 123 0.7× 39 0.5× 17 0.3× 21 0.4× 34 472
Prasad Bajaj 762 1.8× 209 1.2× 66 0.9× 30 0.5× 53 0.9× 38 883
Radoslav Abrashev 175 0.4× 188 1.1× 22 0.3× 24 0.4× 62 1.1× 33 409
Yogesh Kumar Negi 466 1.1× 215 1.2× 42 0.5× 23 0.4× 23 0.4× 31 654
María Julia Pianzzola 399 0.9× 134 0.8× 125 1.6× 15 0.2× 32 0.6× 28 596
С. А. Коннова 509 1.2× 245 1.4× 15 0.2× 68 1.1× 25 0.4× 69 768

Countries citing papers authored by Jae‐Soon Cha

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Soon Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Soon Cha. 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‐Soon Cha. The network helps show where Jae‐Soon Cha may publish in the future.

Co-authorship network of co-authors of Jae‐Soon Cha

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Soon Cha. A scholar is included among the top collaborators of Jae‐Soon Cha 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‐Soon Cha. Jae‐Soon Cha 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, Sunghee, et al.. (2019). Effect on Colony Growth Inhibition of Soil-Borne Fungal Pathogens by Available Chlorine Content in Sodium Hypochlorite. The Plant Pathology Journal. 35(2). 156–163. 6 indexed citations
2.
Oh, Chang‐Sik, et al.. (2018). Development of an Improved Loop-Mediated Isothermal Amplification Assay for On-Site Diagnosis of Fire Blight in Apple and Pear. The Plant Pathology Journal. 34(3). 191–198. 15 indexed citations
3.
Lee, Sung‐Hee, et al.. (2017). Correlation between the Dieback Ratio and Cultivation Environment for Apple Orchards Infected by Soil-Borne Diseases in Chungbuk Province. Research in Plant Disease. 23(1). 49–55. 3 indexed citations
4.
Cha, Jae‐Soon, et al.. (2016). Xanthomonas euvesicatoria Causes Bacterial Spot Disease on Pepper Plant in Korea. The Plant Pathology Journal. 32(5). 431–440. 22 indexed citations
5.
Kim, Young‐Tak, et al.. (2016). Bacterial Spot Disease of Green Pumpkin by Pseudomonas syringae pv. syringae. Research in Plant Disease. 22(3). 158–167. 4 indexed citations
6.
Lee, Sunghee, et al.. (2016). Dieback of Apple Tree by Major Soil Borne Diseases in Chungbuk Province from 2013 to 2015. Research in Plant Disease. 22(3). 198–201. 7 indexed citations
7.
Back, Chang–Gi, et al.. (2015). Development of a Species-specific PCR Assay for Three Xanthomonas Species, Causing Bulb and Flower Diseases, Based on Their Genome Sequences. The Plant Pathology Journal. 31(3). 212–218. 4 indexed citations
8.
Cha, Jae‐Soon, et al.. (2015). Development of PCR and TaqMan PCR Assays to Detect Pseudomonas coronafaciens, a Causal Agent of Halo Blight of Oats. The Plant Pathology Journal. 31(1). 25–32. 10 indexed citations
9.
Kim, Sun-Young, et al.. (2014). Expression of colSR Genes Increased in the rpf Mutants of Xanthomonas oryzae pv. oryzae KACC10859. The Plant Pathology Journal. 30(3). 304–309. 1 indexed citations
10.
Moon, Ji-Won, et al.. (2014). Pseudomonas azotoformans HC5 Effective in Antagonistic of Mushrooms Brown Blotch Disease Caused by Pseudomonas tolaasii. The Korean Journal of Mycology. 42(3). 219–224. 5 indexed citations
11.
Moon, Ji-Won, et al.. (2014). Cultivation conditions for mass production of detoxifying bacterium Pseudomonas sp. HC1 of tolaasin produced by Pseudomonas tolaasii. Journal of Mushrooms. 12(1). 35–40. 1 indexed citations
12.
Park, Seong-Wan, et al.. (2013). Biological characterization of various strains of Pseudomonas tolaasii that causes brown blotch disease. Journal of the Korean Society for Applied Biological Chemistry. 56(1). 41–45. 14 indexed citations
13.
Hong, Seung-Beom, et al.. (2012). Identification of Pathogens Causing Grape Rot on 'Red Glove' Variety Imported from Chile. Research in Plant Disease. 18(3). 217–224. 2 indexed citations
14.
Yim, Kyu‐Ock, et al.. (2011). Characterization of phenotypic variants of Clavibacter michiganensis subsp. michiganensis isolated from Capsicum annuum. European Journal of Plant Pathology. 133(3). 559–575. 26 indexed citations
15.
He, Ya‐Wen, Jien Wu, Jae‐Soon Cha, & Lian‐Hui Zhang. (2010). Rice bacterial blight pathogen Xanthomonas oryzae pv. oryzae produces multiple DSF-family signals in regulation of virulence factor production. BMC Microbiology. 10(1). 187–187. 135 indexed citations
16.
Cho, Jung‐Hee, et al.. (2006). Agrobacterium-mediated Transformation of the Winter Mushroom,Flammulina velutipes. Mycobiology. 34(2). 104–104. 21 indexed citations
17.
Park, Yongsoon, et al.. (2005). Activation of Defense Responses in Chinese Cabbage by a Nonhost Pathogen, Pseudomonas syringae pv. tomato. BMB Reports. 38(6). 748–754. 23 indexed citations
18.
19.
Cha, Jae‐Soon & Donald A. Cooksey. (1993). Copper Hypersensitivity and Uptake in Pseudomonas syringae Containing Cloned Components of the Copper Resistance Operon. Applied and Environmental Microbiology. 59(5). 1671–1674. 87 indexed citations
20.
Cooksey, Donald A., et al.. (1990). Copper Resistance Gene Homologs in Pathogenic and Saprophytic Bacterial Species from Tomato. Applied and Environmental Microbiology. 56(2). 431–435. 91 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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