Hong‐Soo Choi

676 total citations
33 papers, 533 citations indexed

About

Hong‐Soo Choi is a scholar working on Plant Science, Endocrinology and Insect Science. According to data from OpenAlex, Hong‐Soo Choi has authored 33 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 15 papers in Endocrinology and 8 papers in Insect Science. Recurrent topics in Hong‐Soo Choi's work include Plant Virus Research Studies (32 papers), Plant and Fungal Interactions Research (15 papers) and Plant Disease Resistance and Genetics (14 papers). Hong‐Soo Choi is often cited by papers focused on Plant Virus Research Studies (32 papers), Plant and Fungal Interactions Research (15 papers) and Plant Disease Resistance and Genetics (14 papers). Hong‐Soo Choi collaborates with scholars based in South Korea, Japan and Nigeria. Hong‐Soo Choi's co-authors include Kook‐Hyung Kim, Jang‐Kyun Seo, Sun-Jung Kwon, Su-Heon Lee, Sukchan Lee, Won Kyong Cho, Seong‐Han Sohn, Kazusato Ohshima, Moonil Son and Hae-Ryun Kwak and has published in prestigious journals such as PLoS ONE, Scientific Reports and Virology.

In The Last Decade

Hong‐Soo Choi

30 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong‐Soo Choi South Korea 14 496 164 141 61 48 33 533
N. Borodynko Poland 16 749 1.5× 222 1.4× 266 1.9× 91 1.5× 56 1.2× 96 783
Hae-Ryun Kwak South Korea 16 639 1.3× 266 1.6× 151 1.1× 74 1.2× 44 0.9× 74 658
Laurent Glais France 17 769 1.6× 187 1.1× 125 0.9× 120 2.0× 35 0.7× 27 860
J. Syller Poland 15 745 1.5× 216 1.3× 266 1.9× 77 1.3× 45 0.9× 31 781
A. Skelton United Kingdom 12 567 1.1× 194 1.2× 129 0.9× 68 1.1× 25 0.5× 51 585
Osmar Nickel Brazil 12 387 0.8× 220 1.3× 115 0.8× 94 1.5× 51 1.1× 55 401
Emmanuelle Vigne France 17 650 1.3× 449 2.7× 246 1.7× 70 1.1× 53 1.1× 30 672
Inmaculada Ferriol Spain 13 488 1.0× 151 0.9× 110 0.8× 75 1.2× 33 0.7× 28 511
Kaoru Hanada Japan 14 606 1.2× 247 1.5× 138 1.0× 108 1.8× 49 1.0× 60 621
S. L. Lenardon Argentina 14 624 1.3× 201 1.2× 146 1.0× 72 1.2× 28 0.6× 63 651

Countries citing papers authored by Hong‐Soo Choi

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Soo Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Soo Choi. 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 Hong‐Soo Choi. The network helps show where Hong‐Soo Choi may publish in the future.

Co-authorship network of co-authors of Hong‐Soo Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Soo Choi. A scholar is included among the top collaborators of Hong‐Soo Choi 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 Hong‐Soo Choi. Hong‐Soo Choi 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.
Byun, Hee‐Seong, et al.. (2024). Occurrence and Multiplex PCR Detection of Citrus Yellow Vein Clearing Virus in Korea. The Plant Pathology Journal. 40(2). 125–138. 3 indexed citations
2.
3.
Kim, Yong-Ho, Võ Thị Bích Thuỷ, Phuong T. Ho, et al.. (2021). Identification of a Novel Geminivirus in Fraxinus rhynchophylla in Korea. Viruses. 13(12). 2385–2385. 6 indexed citations
4.
Choi, Hong‐Soo, et al.. (2019). The first report on the characterization of a virus isolated from Allomyrina dichotoma in the Republic of Korea. Entomological Research. 49(12). 534–538. 1 indexed citations
5.
Lee, Yeji, Eui‐Joon Kil, Hae-Ryun Kwak, et al.. (2018). Phylogenetic Characterization of Tomato chlorosis virus Population in Korea: Evidence of Reassortment between Isolates from Different Origins. The Plant Pathology Journal. 34(3). 199–207. 11 indexed citations
6.
Kwak, Hae-Ryun, Mi-Kyeong Kim, Jang‐Kyun Seo, et al.. (2018). Phylogeographic analysis of the full genome of Sweepovirus to trace virus dispersal and introduction to Korea. PLoS ONE. 13(8). e0202174–e0202174. 3 indexed citations
7.
Kil, Eui‐Joon, Jung‐Ho Park, Hong‐Soo Choi, Chang‐Seok Kim, & Sukchan Lee. (2017). Seed Transmission of Tomato yellow leaf curl virus in White Soybean (Glycine max). The Plant Pathology Journal. 33(4). 424–428. 19 indexed citations
8.
Han, Jung‐Heon, et al.. (2017). Specific Primer Sets for RT-PCR Detection of Major RNA Viruses of Tomato Plants in Korea. Research in Plant Disease. 23(2). 193–201. 2 indexed citations
9.
Seo, Jang‐Kyun, Sun-Jung Kwon, Won Kyong Cho, Hong‐Soo Choi, & Kook‐Hyung Kim. (2014). Type 2C Protein Phosphatase Is a Key Regulator of Antiviral Extreme Resistance Limiting Virus Spread. Scientific Reports. 4(1). 5905–5905. 52 indexed citations
10.
11.
Cho, Won Kyong, et al.. (2012). Cis-acting element (SL1) of Potato virus X controls viral movement by interacting with the NbMPB2Cb and viral proteins. Virology. 427(2). 166–176. 20 indexed citations
12.
Park, Jungan, Sharmin Jahan, Hyejung Lee, et al.. (2011). Identification of biotypes and secondary endosymbionts of Bemisia tabaci in Korea and relationships with the occurrence of TYLCV disease. Journal of Asia-Pacific Entomology. 15(1). 186–191. 41 indexed citations
13.
Jahan, Sharmin, et al.. (2011). The Relationship between Endosymbiont Densities of Bemisia tabaci and the Transmission of Tomato Yellow Leaf Curl Virus(TYLCV). 146–146.
14.
Lee, Hyejung, Hae-Ryun Kwak, Jungan Park, et al.. (2010). Phylogenetic Analysis and Inflow Route of Tomato Yellow Leaf Curl Virus (TYLCV) and Bemisia tabaci in Korea. Molecules and Cells. 30(5). 467–476. 34 indexed citations
15.
Seo, Jang‐Kyun, Kazusato Ohshima, Moonil Son, et al.. (2009). Molecular variability and genetic structure of the population of Soybean mosaic virus based on the analysis of complete genome sequences. Virology. 393(1). 91–103. 114 indexed citations
16.
Jonson, Miranda Gilda, Hong‐Soo Choi, Jeong-Soo Kim, Il‐Ryong Choi, & Kook‐Hyung Kim. (2009). Sequence and phylogenetic analysis of the RNA1 and RNA2 segments of Korean Rice stripe virus isolates and comparison with those of China and Japan. Archives of Virology. 154(10). 1705–1708. 12 indexed citations
17.
Seo, Jang‐Kyun, Sun-Jung Kwon, Hong‐Soo Choi, & Kook‐Hyung Kim. (2008). Evidence for alternate states of Cucumber mosaic virus replicase assembly in positive- and negative-strand RNA synthesis. Virology. 383(2). 248–260. 39 indexed citations
18.
Park, Mi‐Ri, Sun-Jung Kwon, Hong‐Soo Choi, Cynthia Hemenway, & Kook‐Hyung Kim. (2008). Mutations that alter a repeated ACCA element located at the 5′ end of the Potato virus X genome affect RNA accumulation. Virology. 378(1). 133–141. 14 indexed citations
19.
Choi, Hong‐Soo, et al.. (2005). Importance of the C-terminal domain of soybean mosaic virus coat protein for subunit interactions. Journal of General Virology. 87(1). 225–229. 20 indexed citations
20.
Choi, Hong‐Soo, et al.. (2004). Studies on Potato virus Y Isolates Infecting Potato and Tobacco in Korea. Journal of the Faculty of Agriculture Kyushu University. 49(2). 253–262. 4 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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