Sang-Ryeol Park

826 total citations
29 papers, 586 citations indexed

About

Sang-Ryeol Park is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Sang-Ryeol Park has authored 29 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 13 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Sang-Ryeol Park's work include Plant-Microbe Interactions and Immunity (21 papers), Plant Pathogenic Bacteria Studies (13 papers) and Plant Pathogens and Fungal Diseases (7 papers). Sang-Ryeol Park is often cited by papers focused on Plant-Microbe Interactions and Immunity (21 papers), Plant Pathogenic Bacteria Studies (13 papers) and Plant Pathogens and Fungal Diseases (7 papers). Sang-Ryeol Park collaborates with scholars based in South Korea, Germany and Japan. Sang-Ryeol Park's co-authors include Yiming Wang, Ravi Gupta, Sun Tae Kim, Shin-Chul Bae, Il‐Pyung Ahn, Duk‐Ju Hwang, Ganesh Kumar Agrawal, Randeep Rakwal, Jingni Wu and Kyu Young Kang and has published in prestigious journals such as PLoS ONE, Frontiers in Plant Science and Microbiology.

In The Last Decade

Sang-Ryeol Park

29 papers receiving 571 citations

Peers

Sang-Ryeol Park

BIOTE

PHARM

Sujie Fan China

R. Radjacommare India

Akiko Hirabuchi Japan

Guillaume Gouzerh Switzerland

Arsheed H. Sheikh Saudi Arabia

Xuening Wei China

Zhongna Hao China

Inês Chaves Portugal

René Fuchs Germany

Christian Falter Germany

Sujie Fan China

Sang-Ryeol Park

587 ×1.1

258 ×1.1

40 ×0.5

17 ×0.9

BIOTE

12 ×0.7

PHARM

Citations per year, relative to Sang-Ryeol Park Sang-Ryeol Park (= 1×) peers Sujie Fan

Countries citing papers authored by Sang-Ryeol Park

Since Specialization

Citations

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

Fields of papers citing papers by Sang-Ryeol Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Ryeol Park. 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 Sang-Ryeol Park. The network helps show where Sang-Ryeol Park may publish in the future.

Co-authorship network of co-authors of Sang-Ryeol Park

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gupta, Ravi, Cheol Woo Min, Sang-Ryeol Park, & Sun Tae Kim. (2022). Label-free proteome data of susceptible and resistant rice cultivars in response to Xanthomonas oryzae pv. oryzae inoculation. Data in Brief. 41. 107890–107890. 4 indexed citations

Meng, Qingfeng, Ravi Gupta, Soon Jae Kwon, et al.. (2018). Transcriptomic Analysis of Oryza sativa Leaves Reveals Key Changes in Response to Magnaporthe oryzae MSP1. The Plant Pathology Journal. 34(4). 257–268. 6 indexed citations

Gupta, Ravi, Ramesha H. Jayaramaiah, Seo Hyun Lee, et al.. (2017). Global Transcriptome Profiling of Xanthomonas oryzae pv. oryzae under in planta Growth and in vitro Culture Conditions. The Plant Pathology Journal. 33(5). 458–466. 11 indexed citations

Wang, Yiming, Ravi Gupta, Wei Song, et al.. (2017). Label-free quantitative secretome analysis of Xanthomonas oryzae pv. oryzae highlights the involvement of a novel cysteine protease in its pathogenicity. Journal of Proteomics. 169. 202–214. 25 indexed citations

Wu, Jingni, Yiming Wang, Sook‐Young Park, et al.. (2016). Secreted Alpha-N-Arabinofuranosidase B Protein Is Required for the Full Virulence of Magnaporthe oryzae and Triggers Host Defences. PLoS ONE. 11(10). e0165149–e0165149. 21 indexed citations

Hwang, Seon‐Hee, Soon Il Kwon, Ji-Young Jang, et al.. (2016). OsWRKY51, a rice transcription factor, functions as a positive regulator in defense response against Xanthomonas oryzae pv. oryzae. Plant Cell Reports. 35(9). 1975–1985. 62 indexed citations

Park, Sang-Ryeol, Ravi Gupta, Ram Krishna, et al.. (2016). Proteome Analysis of Disease Resistance against Ralstonia solanacearum in Potato Cultivar CT206-10. The Plant Pathology Journal. 32(1). 25–32. 20 indexed citations

Gupta, Ravi, Ganesh Kumar Agrawal, Randeep Rakwal, et al.. (2015). Understanding the plant-pathogen interactions in the context of proteomics-generated apoplastic proteins inventory. Frontiers in Plant Science. 6. 352–352. 85 indexed citations

Wang, Yiming, Soon Jae Kwon, Jingni Wu, et al.. (2014). Transcriptome Analysis of Early Responsive Genes in Rice during Magnaporthe oryzae Infection. The Plant Pathology Journal. 30(4). 343–354. 45 indexed citations

10.

Park, Sang-Ryeol, et al.. (2013). Current Status of Ecology and Molecular Detection in Puccinia horiana. Flower Research Journal. 21(3). 128–132. 2 indexed citations

11.

Wang, Yiming, et al.. (2012). Comparative secretome analysis of differentially-induced proteins in rice lesion mimic mutant spotted leaf 11 (spl11). Plant Omics. 5(6). 567–575. 4 indexed citations

12.

Park, Sang-Ryeol, et al.. (2011). Generation of bacterial blight resistance rice with transcription factor OsNAC69-overexpressing.. Korean Journal of Breeding Science. 43(5). 457–463. 1 indexed citations

13.

Ahn, Il‐Pyung, et al.. (2011). Priming by Rhizobacterium Protects Tomato Plants from Biotrophic and Necrotrophic Pathogen Infections through Multiple Defense Mechanisms. Molecules and Cells. 32(1). 7–14. 34 indexed citations

14.

Lee, Seong-Kon, Beom‐Gi Kim, Taek-Ryoun Kwon, et al.. (2011). Overexpression of the mitogen-activated protein kinase gene OsMAPK33 enhances sensitivity to salt stress in rice (Oryza sativa L.). Journal of Biosciences. 36(1). 139–151. 79 indexed citations

15.

Su’udi, Mukhamad, Min Gab Kim, Sang-Ryeol Park, et al.. (2011). Arabidopsis Cell Death in Compatible and Incompatible Interactions with Alternaria brassicicola. Molecules and Cells. 31(6). 593–602. 18 indexed citations

16.

Choi, Changhyun, et al.. (2010). Selection of a Susceptible Line (Susceptible to Pectobacterium 1, Atstp1) to Soft-rot Disease in T-DNA Insertion Mutants Pool of Arabidopsis. Research in Plant Disease. 16(3). 312–315. 2 indexed citations

17.

Ryu, Jae-San, Sang‐Dae Lee, Young Han Lee, et al.. (2000). Screening and identification of an antifungal Pseudomonas sp. that suppresses balloon flower root rot caused by Rhizoctonia solani. Journal of Microbiology and Biotechnology. 10(4). 435–440. 7 indexed citations

18.

Lee, Young Han, et al.. (2000). Rhizome Rot incidence of Platycodon grangiflorus as Influenced by the Soil Chemical Properties and Microbial Flora. Korean Journal of Environmental Agriculture. 19(1). 62–66. 1 indexed citations

19.

Park, Sang-Ryeol, et al.. (1999). Isolation of CMCase Isozymes from Phytopathogenic Erwinia chrysanthemi PY35. Applied Biological Chemistry. 42(3). 199–204. 1 indexed citations

20.

Park, Sang-Ryeol, et al.. (1991). Development of Statistical Core Thermal Design Methodology Using a Modified Latin Hypercube Sampling Method. Nuclear Technology. 94(3). 407–415. 2 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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