Byoung-Su Yoon

493 total citations
46 papers, 403 citations indexed

About

Byoung-Su Yoon is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Byoung-Su Yoon has authored 46 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Insect Science, 21 papers in Ecology, Evolution, Behavior and Systematics and 20 papers in Genetics. Recurrent topics in Byoung-Su Yoon's work include Insect and Pesticide Research (32 papers), Insect and Arachnid Ecology and Behavior (20 papers) and Plant and animal studies (19 papers). Byoung-Su Yoon is often cited by papers focused on Insect and Pesticide Research (32 papers), Insect and Arachnid Ecology and Behavior (20 papers) and Plant and animal studies (19 papers). Byoung-Su Yoon collaborates with scholars based in South Korea, Vietnam and India. Byoung-Su Yoon's co-authors include Angelika Lehner, Werner Goebel, Andreas Bubert, Marcus Rauch, Martin Wagner, Mi-Sun Yoo, Sang Hoon Han, Seon-Mi Kim, Nguyễn Thị Kim Cúc and Kondreddy Eswar Reddy and has published in prestigious journals such as Applied and Environmental Microbiology, Cancer Letters and Journal of the Science of Food and Agriculture.

In The Last Decade

Byoung-Su Yoon

46 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Byoung-Su Yoon South Korea	10	158	145	138	101	97	46	403
Tomohiro Irisawa Japan	14	76 0.5×	311 2.1×	78 0.6×	54 0.5×	339 3.5×	29	555
Salome Smit South Africa	8	53 0.3×	78 0.5×	196 1.4×	127 1.3×	166 1.7×	9	460
Ludovic Mallet France	13	87 0.6×	110 0.8×	27 0.2×	41 0.4×	229 2.4×	19	452
Ali Nazemi Iran	8	35 0.2×	59 0.4×	101 0.7×	79 0.8×	192 2.0×	35	393
Shintaro Maeno Japan	12	34 0.2×	307 2.1×	100 0.7×	62 0.6×	270 2.8×	24	541
Emily Moore United States	9	30 0.2×	73 0.5×	36 0.3×	97 1.0×	243 2.5×	10	588
Christine M. Derrick United Kingdom	10	346 2.2×	260 1.8×	24 0.2×	41 0.4×	114 1.2×	12	548
S. Ivanović Serbia	10	15 0.1×	91 0.6×	26 0.2×	33 0.3×	102 1.1×	51	413
E. Daley Canada	14	318 2.0×	366 2.5×	22 0.2×	9 0.1×	46 0.5×	19	578
Dilma Scala Gelli Brazil	12	105 0.7×	256 1.8×	56 0.4×	5 0.0×	34 0.4×	42	473

Countries citing papers authored by Byoung-Su Yoon

Since Specialization

Citations

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

Fields of papers citing papers by Byoung-Su Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byoung-Su Yoon. 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 Byoung-Su Yoon. The network helps show where Byoung-Su Yoon may publish in the future.

Co-authorship network of co-authors of Byoung-Su Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Byoung-Su Yoon. A scholar is included among the top collaborators of Byoung-Su Yoon 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 Byoung-Su Yoon. Byoung-Su Yoon 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

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

Kim, Moon Jung, et al.. (2019). Rapid detection of Israeli acute paralysis virus using multi-point ultra-rapid real-time PCR (UR-qPCR). Journal of Apicultural Research. 58(5). 746–753. 3 indexed citations

Park, Changhyup, Hyung Suk Kang, Jinho Jeong, et al.. (2016). In-situ Hybridization for the Detection of Sacbrood Virus in Infected Larvae of the Honey Bee (Apis cerana). Journal of Comparative Pathology. 154(2-3). 258–262. 5 indexed citations

Yoon, Byoung-Su, et al.. (2013). 꿀벌세포의 세포배양에 적합한 성장 배양액 선별. Journal of Apiculture. 28(5). 297–301. 1 indexed citations

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

Reddy, Kondreddy Eswar, Huong Thi Thanh Doan, Chang Hee Kweon, et al.. (2012). Phylogenetic analysis of black queen cell virus genotypes in South Korea. Virus Genes. 46(2). 362–368. 13 indexed citations

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

Lee, Boram, et al.. (2011). Loop-mediated Isothermal Amplification(LAMP) 법을 이용한 Sacbrood Virus (SBV)의 검출법 개발. Journal of Apiculture. 26(4). 267–274. 1 indexed citations

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

10.

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

11.

Kang, Minhee, et al.. (2010). Development of a rapid detection method to detect tdh gene in Vibrio parahaemolyticus using 2-step ultrarapid real-time polymerase chain reaction. Diagnostic Microbiology and Infectious Disease. 69(1). 21–29. 5 indexed citations

12.

Yoon, Byoung-Su, et al.. (2009). Israel Acute Paralysis Virus (IAPV)의 Nested PCR 검출법의 개발. Journal of Apiculture. 24(2). 93–99. 1 indexed citations

13.

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

14.

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

15.

Yoon, Byoung-Su, et al.. (2008). Black Queen Cell Virus 진단을 위한 Real-Time PCR 진단법의 개발. Journal of Apiculture. 23(1). 37–42. 1 indexed citations

16.

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

17.

Lee, Dong-Woo, et al.. (2007). Rapid Detection Method of Avian Influenza Subtype H5N1 using Quick Real-Time PCR. Korean Journal of Microbiology. 43(1). 23–30. 2 indexed citations

18.

Lee, Edwin, et al.. (2005). Rapid Identification of Ascosphera apis Causing Chalkbrood Disease in Honeybee by Real-Time PCR. Journal of Apiculture. 2 indexed citations

19.

Han, Sang Hoon, et al.. (2004). Rapid Detection of Paenibacillus larvae larvae Caused American Foulbrood Using Real-Time PCR. Journal of Apiculture. 19(2). 2 indexed citations

20.

Yoon, Byoung-Su, et al.. (2001). Rapid PCR Detecion of Paenibacillus larvae as Pathogen of American Foulbrood Disease by using Nucleotide Sequence from its Metalloprotease and 16S rRNA gene. Journal of Apiculture. 1 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.

Explore authors with similar magnitude of impact