Seung-Won Kang

554 total citations
38 papers, 430 citations indexed

About

Seung-Won Kang is a scholar working on Parasitology, Insect Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Seung-Won Kang has authored 38 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Parasitology, 11 papers in Insect Science and 10 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Seung-Won Kang's work include Insect and Pesticide Research (10 papers), Toxoplasma gondii Research Studies (10 papers) and Plant and animal studies (9 papers). Seung-Won Kang is often cited by papers focused on Insect and Pesticide Research (10 papers), Toxoplasma gondii Research Studies (10 papers) and Plant and animal studies (9 papers). Seung-Won Kang collaborates with scholars based in South Korea, Vietnam and India. Seung-Won Kang's co-authors include John W. McCall, Richard D. Cummings, SeEun Choe, Chang-Hee Kweon, Hee-Soo Lee, Suk-Chan Jung, Đồng Văn Quyền, Mi-Sun Yoo, Kondreddy Eswar Reddy and Eun‐Jin Choi and has published in prestigious journals such as Gene, Virology and Ecological Indicators.

In The Last Decade

Seung-Won Kang

35 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seung-Won Kang South Korea 12 176 108 104 92 87 38 430
Amauri Arias Wenceslau Brazil 14 193 1.1× 32 0.3× 100 1.0× 76 0.8× 91 1.0× 33 531
Daya Shanker India 13 307 1.7× 89 0.8× 49 0.5× 159 1.7× 41 0.5× 68 452
Saw Bawm Myanmar 13 212 1.2× 46 0.4× 46 0.4× 89 1.0× 29 0.3× 54 463
Guiguigbaza‐Kossigan Dayo Burkina Faso 12 53 0.3× 62 0.6× 132 1.3× 127 1.4× 151 1.7× 37 405
Gerald L. McLaughlin United States 11 236 1.3× 94 0.9× 251 2.4× 76 0.8× 29 0.3× 22 641
Katja Silbermayr Austria 14 172 1.0× 90 0.8× 53 0.5× 65 0.7× 95 1.1× 26 525
C. Soulé France 11 149 0.8× 59 0.5× 66 0.6× 41 0.4× 43 0.5× 24 430
A. Verhulst Belgium 12 93 0.5× 48 0.4× 80 0.8× 86 0.9× 48 0.6× 39 410
Guiehdani Villalobos Mexico 16 202 1.1× 230 2.1× 298 2.9× 34 0.4× 22 0.3× 43 564
Dennis Muhanguzi Uganda 16 285 1.6× 115 1.1× 226 2.2× 313 3.4× 41 0.5× 50 672

Countries citing papers authored by Seung-Won Kang

Since Specialization
Citations

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

Fields of papers citing papers by Seung-Won Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung-Won Kang. 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 Seung-Won Kang. The network helps show where Seung-Won Kang may publish in the future.

Co-authorship network of co-authors of Seung-Won Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Seung-Won Kang. A scholar is included among the top collaborators of Seung-Won Kang 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 Seung-Won Kang. Seung-Won Kang 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.
Zhou, Heng, et al.. (2023). Size Estimation for Shrimp Using Deep Learning Method. 12(3). 112–119.
2.
Kang, Seung-Won, et al.. (2021). Regional Imbalance and Social Equity in Access to Emergency Medical Services in Busan Metropolitan City. Korean Society of Hazard Mitigation. 21(1). 35–46.
3.
Yoo, Won Gi, Eun Jeong Won, Ji-Yun Lee, et al.. (2018). Tissue Fluid Enzyme-Linked Immunosorbant Assay for Piglets Experimentally Infected with Toxoplasma gondii and Survey on Local and Imported Pork in Korean Retail Meat Markets. Korean Journal of Parasitology. 56(5). 437–446. 5 indexed citations
4.
Kang, Seung-Won, et al.. (2017). Prevalence of Toxoplasma gondii infection in household and feral cats in Korea. Journal of Parasitic Diseases. 41(3). 823–825. 3 indexed citations
5.
Reddy, Kondreddy Eswar, Hà Thị Thu, Mummadireddy Ramya, et al.. (2017). Comparative Genomic Analysis for Genetic Variation in Sacbrood Virus of Apis cerana and Apis mellifera Honeybees From Different Regions of Vietnam. Journal of Insect Science. 17(5). 11 indexed citations
6.
Reddy, Kondreddy Eswar, et al.. (2016). Homology differences between complete Sacbrood virus genomes from infected Apis mellifera and Apis cerana honeybees in Korea. Virus Genes. 52(2). 281–289. 13 indexed citations
7.
Kim, Young‐Ha, et al.. (2015). Molecular Prevalence of <i>Acarapis</i> Mite Infestations in Honey Bees in Korea. Korean Journal of Parasitology. 53(3). 315–320. 5 indexed citations
8.
Reddy, Kondreddy Eswar, Mi-Sun Yoo, Young‐Ha Kim, et al.. (2014). Analysis of the RdRp, intergenic and structural polyprotein regions, and the complete genome sequence of Kashmir bee virus from infected honeybees (Apis mellifera) in Korea. Virus Genes. 49(1). 137–144. 4 indexed citations
9.
Kweon, Chang-Hee, Mi-Sun Yoo, Kondreddy Eswar Reddy, et al.. (2014). Derivation of cell-adapted Sacbrood virus (SBV) from the native Korean honeybee. Virus Research. 198. 15–21. 2 indexed citations
10.
Reddy, Kondreddy Eswar, Young‐Ha Kim, Huong Thi Thanh Doan, et al.. (2013). Analysis of the nonstructural and structural polyprotein regions, and complete genome sequences of Israel acute paralysis viruses identified from honeybees (Apis mellifera) in Korea. Virology. 444(1-2). 211–217. 9 indexed citations
11.
Kim, Yeon-Hee, et al.. (2013). Vero cells expressing porcine circovirus type 2-capsid protein and their diagnostic application. Journal of Virological Methods. 194(1-2). 26–32. 6 indexed citations
12.
Reddy, Kondreddy Eswar, Mi-Sun Yoo, Young‐Ha Kim, et al.. (2013). Molecular characterization and phylogenetic analysis of deformed wing viruses isolated from South Korea. Veterinary Microbiology. 167(3-4). 272–279. 11 indexed citations
13.
Yoo, Mi-Sun, Byoung-Su Yoon, Kondreddy Eswar Reddy, et al.. (2012). Reverse transcription loop-mediated isothermal amplification for sensitive and rapid detection of Korean sacbrood virus. Journal of Virological Methods. 186(1-2). 147–151. 12 indexed citations
14.
Nguyen, Thuy, et al.. (2012). Seroprevalence of Toxoplasma gondii and Neospora caninum in dogs from Korea. Acta Parasitologica. 57(1). 7–12. 22 indexed citations
15.
Choe, SeEun, et al.. (2011). Genetic and phylogenetic analysis of South Korean sacbrood virus isolates from infected honey bees (Apis cerana). Veterinary Microbiology. 157(1-2). 32–40. 37 indexed citations
16.
17.
Shin, Jimin, et al.. (2010). Characterization and expression pattern of IbPRP1 and IbPRP2 stress-related genes from sweetpotato. Genes & Genomics. 32(5). 487–497. 3 indexed citations
18.
Kang, Seung-Won, Sung Soo Park, SeEun Choe, et al.. (2009). Characterization of tissue distribution and histopathological lesions in Neospora caninum experimentally infected gerbils. Parasitology Research. 104(6). 1261–1268. 18 indexed citations
19.
Kim, Hye‐Youn, et al.. (2008). Prevalence of Toxoplasma gondii in Stray Cats of Gyeonggi-do, Korea. Korean Journal of Parasitology. 46(3). 199–199. 37 indexed citations
20.
Kang, Seung-Won, Richard D. Cummings, & John W. McCall. (1993). Characterization of the N-linked oligosaccharides in glycoproteins synthesized by microfilariae of Dirofilaria immitis.. PubMed. 79(6). 815–28. 35 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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