Mi-Sun Yoo

439 total citations
50 papers, 297 citations indexed

About

Mi-Sun Yoo is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science and Genetics. According to data from OpenAlex, Mi-Sun Yoo has authored 50 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Ecology, Evolution, Behavior and Systematics, 31 papers in Insect Science and 22 papers in Genetics. Recurrent topics in Mi-Sun Yoo's work include Insect and Pesticide Research (31 papers), Plant and animal studies (23 papers) and Insect and Arachnid Ecology and Behavior (20 papers). Mi-Sun Yoo is often cited by papers focused on Insect and Pesticide Research (31 papers), Plant and animal studies (23 papers) and Insect and Arachnid Ecology and Behavior (20 papers). Mi-Sun Yoo collaborates with scholars based in South Korea, Vietnam and United States. Mi-Sun Yoo's co-authors include Yun Sang Cho, Byoung-Su Yoon, Soon‐Seek Yoon, Seung-Won Kang, Sang Hoon Han, Yong Soo Choi, Chang-Hee Kweon, Seunghyun Lee, Nguyễn Thị Kim Cúc and Ki–Jeong Hong and has published in prestigious journals such as PLoS ONE, Scientific Reports and Gene.

In The Last Decade

Mi-Sun Yoo

46 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mi-Sun Yoo South Korea	11	203	174	155	61	56	50	297
Thekhawet Weluwanarak Thailand	12	160 0.8×	113 0.6×	45 0.3×	89 1.5×	104 1.9×	30	337
D.M. Bishop New Zealand	11	196 1.0×	97 0.6×	32 0.2×	71 1.2×	70 1.3×	27	346
Frédéric Baldacchino France	4	177 0.9×	100 0.6×	22 0.1×	41 0.7×	29 0.5×	4	304
Arran J. Folly United Kingdom	11	128 0.6×	134 0.8×	58 0.4×	183 3.0×	66 1.2×	26	317
Gustavo R. Makert Germany	10	163 0.8×	210 1.2×	147 0.9×	137 2.2×	148 2.6×	15	370
Ntanganedzeni Mapholi South Africa	9	46 0.2×	101 0.6×	103 0.7×	62 1.0×	126 2.3×	24	268
Luísa N. Domingues Brazil	9	181 0.9×	63 0.4×	24 0.2×	103 1.7×	195 3.5×	23	312
Amira Nebbak Algeria	11	51 0.3×	20 0.1×	76 0.5×	92 1.5×	120 2.1×	13	277
Angélique Foucault‐Simonin France	10	78 0.4×	60 0.3×	35 0.2×	122 2.0×	175 3.1×	31	283
Fang Shiang Lim Malaysia	11	122 0.6×	76 0.4×	41 0.3×	175 2.9×	251 4.5×	27	336

Countries citing papers authored by Mi-Sun Yoo

Since Specialization

Citations

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

Fields of papers citing papers by Mi-Sun Yoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi-Sun Yoo. 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 Mi-Sun Yoo. The network helps show where Mi-Sun Yoo may publish in the future.

Co-authorship network of co-authors of Mi-Sun Yoo

This figure shows the co-authorship network connecting the top 25 collaborators of Mi-Sun Yoo. A scholar is included among the top collaborators of Mi-Sun Yoo 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 Mi-Sun Yoo. Mi-Sun Yoo 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

Yoo, Mi-Sun, Soo Dong Woo, Young‐Jin Park, et al.. (2024). Evaluation of acaricidal activity in entomopathogenic fungi for poultry red mite (Dermanyssus gallinae) control. Veterinary Parasitology. 331. 110292–110292. 2 indexed citations

Yoo, Mi-Sun, et al.. (2023). Probiotic candidates for controlling Paenibacillus larvae, a causative agent of American foulbrood disease in honey bee. BMC Microbiology. 23(1). 150–150. 11 indexed citations

Yoo, Mi-Sun, et al.. (2023). Large-Scale Application of Double-Stranded RNA Shows Potential for Reduction of Sacbrood Virus Disease in Apis cerana Apiaries. Viruses. 15(4). 897–897. 3 indexed citations

Yoo, Mi-Sun, et al.. (2022). Prevalence and pathogen detection of Varroa and Tropilaelaps mites in Apis mellifera (Hymenoptera, Apidae) apiaries in South Korea. Journal of Apicultural Research. 62(4). 804–812. 13 indexed citations

Yoo, Mi-Sun, et al.. (2022). Utility of ultra-rapid real-time PCR for detection and prevalence of Rickettsia spp. in ticks. BMC Veterinary Research. 18(1). 199–199. 2 indexed citations

Seo, Hyun-Ji, et al.. (2021). Molecular and serological surveillance of equine piroplasmosis in the Republic of Korea between 2016 and 2017. Korean Journal of Veterinary Research. 61(1). e4–e4. 2 indexed citations

Sevin, Sedat, et al.. (2021). Rapidly quantitative detection of Nosema ceranae in honeybees using ultra-rapid real-time quantitative PCR. Journal of Veterinary Science. 22(3). e40–e40. 10 indexed citations

Yoo, Mi-Sun, et al.. (2021). Real-time PCR biochip for on-site detection of Coxiella burnetii in ticks. Parasites & Vectors. 14(1). 239–239. 7 indexed citations

Seo, Hyun-Ji, Heung-Chul Kim, Sung-Tae Chong, et al.. (2020). Molecular Detection and Phylogenetic Analysis of Anaplasma and Borrelia Species in Ticks Collected from Migratory Birds at Heuksan, Hong, and Nan Islands, Republic of Korea. Vector-Borne and Zoonotic Diseases. 21(1). 20–31. 7 indexed citations

10.

Park, Yeojin, Hyun-Ji Seo, Mi-Sun Yoo, et al.. (2020). Seroprevalence and B1 gene Phylogeny of Toxoplasma gondii of Dogs and Cats in Republic of Korea. Korean Journal of Parasitology. 58(3). 257–265. 6 indexed citations

11.

Seo, Hyun-Ji, et al.. (2019). Molecular Detection and Phylogenetic Analysis of Anaplasma spp. in Korean Native Goats from Ulsan Metropolitan City, Korea. Vector-Borne and Zoonotic Diseases. 19(10). 773–776. 8 indexed citations

12.

Kim, Sang Hyeon, et al.. (2018). Characterization of the small hive beetle transcriptome focused on the insecticide target site and RNA interference genes. Journal of Asia-Pacific Entomology. 21(4). 1256–1261. 2 indexed citations

13.

Nguyen, Phu Van, Boram Lee, Mi-Sun Yoo, & Byoung-Su Yoon. (2012). Development and Clinical Validation of a DNA Gyrase Subunit B Gene Based Loop-Mediated Isothermal Amplification Method for Detection of Melissococcus plutonius. Journal of Apiculture. 27(1). 51–58. 3 indexed citations

14.

Yoo, Mi-Sun, Sang Hoon Han, & Byoung-Su Yoon. (2011). Development of Ultra-Rapid Real-Time PCR Method for Detection of Black Queen Cell Virus. Journal of Apiculture. 26(3). 203–208. 2 indexed citations

15.

Yoo, Mi-Sun, et al.. (2010). Development of Ultra-rapid Real-Time PCR Method for the detection of Chronic Bee Paralysis Virus. Journal of Apiculture. 25(3). 193–199. 1 indexed citations

16.

Yoo, Mi-Sun, et al.. (2010). Incidence of Honeybee disease in Korea in 2009. Journal of Apiculture. 24(4). 15–15. 9 indexed citations

17.

Yoo, Mi-Sun, et al.. (2009). Development of Real-time PCR Assay for the Detection of Sacbrood Virus in Honeybee (Apis mellifera L.). Journal of Apiculture. 24(1). 15–21. 5 indexed citations

18.

Yoo, Mi-Sun, et al.. (2009). Development of a New PCR Method for Detection of Pectobacterium carotovorum. Korean Journal of Microbiology. 45(4). 306–311. 2 indexed citations

19.

Yoo, Mi-Sun, et al.. (2008). Development of PCR Detection Method for Sacbrood Virus in Honeybee (Apis mellifera L.). Journal of Apiculture. 23(3). 177–184. 7 indexed citations

20.

Lee, Dong-Woo, et al.. (2007). Ultra-Rapid Real-Time PCR for the Detection of Human Immunodeficiency Virus (HIV). Korean Journal of Microbiology. 43(2). 91–99. 3 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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