Jae‐Ku Oem

1.5k total citations
81 papers, 1.2k citations indexed

About

Jae‐Ku Oem is a scholar working on Infectious Diseases, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Jae‐Ku Oem has authored 81 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Infectious Diseases, 34 papers in Agronomy and Crop Science and 26 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Jae‐Ku Oem's work include Animal Disease Management and Epidemiology (34 papers), Viral gastroenteritis research and epidemiology (32 papers) and Vector-Borne Animal Diseases (23 papers). Jae‐Ku Oem is often cited by papers focused on Animal Disease Management and Epidemiology (34 papers), Viral gastroenteritis research and epidemiology (32 papers) and Vector-Borne Animal Diseases (23 papers). Jae‐Ku Oem collaborates with scholars based in South Korea, United States and United Kingdom. Jae‐Ku Oem's co-authors include Kyoung-Ki Lee, Hye-Ryoung Kim, Myoung-Heon Lee, You-Chan Bae, Seong‐Hee Kim, Dong-Jun An, Yeon-Hee Kim, In‐Soon Roh, Kyoung‐Seong Choi and Bang‐Hun Hyun and has published in prestigious journals such as Journal of Virology, Scientific Reports and Journal of General Virology.

In The Last Decade

Jae‐Ku Oem

80 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae‐Ku Oem South Korea 21 693 470 450 371 323 81 1.2k
Enrica Sozzi Italy 20 608 0.9× 364 0.8× 397 0.9× 432 1.2× 129 0.4× 42 1.0k
Maria Teresa Scicluna Italy 19 823 1.2× 807 1.7× 229 0.5× 338 0.9× 700 2.2× 64 1.5k
Kyoung-Ki Lee South Korea 23 558 0.8× 264 0.6× 302 0.7× 452 1.2× 161 0.5× 66 1.1k
Maria Jenckel Germany 15 621 0.9× 423 0.9× 306 0.7× 201 0.5× 401 1.2× 34 1.0k
Jingyue Bao China 19 483 0.7× 648 1.4× 512 1.1× 211 0.6× 457 1.4× 33 1.3k
Klaas Dietze Germany 19 339 0.5× 774 1.6× 344 0.8× 174 0.5× 526 1.6× 54 1.2k
Ariel Pereda Argentina 20 436 0.6× 601 1.3× 692 1.5× 240 0.6× 193 0.6× 33 1.0k
Christopher Oura Trinidad and Tobago 16 819 1.2× 952 2.0× 486 1.1× 210 0.6× 920 2.8× 45 1.6k
V.A. Srinivasan India 21 289 0.4× 438 0.9× 297 0.7× 337 0.9× 289 0.9× 91 1.3k
Ádám Bálint Hungary 20 700 1.0× 264 0.6× 252 0.6× 626 1.7× 80 0.2× 77 1.1k

Countries citing papers authored by Jae‐Ku Oem

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Ku Oem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Ku Oem. 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 Jae‐Ku Oem. The network helps show where Jae‐Ku Oem may publish in the future.

Co-authorship network of co-authors of Jae‐Ku Oem

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Ku Oem. A scholar is included among the top collaborators of Jae‐Ku Oem 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 Jae‐Ku Oem. Jae‐Ku Oem 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.
Jeong, Chang‐Gi, et al.. (2025). Investigating the reassortment potential and pathogenicity of the S segment in Akabane virus using a reverse genetics system. BMC Veterinary Research. 21(1). 20–20. 3 indexed citations
2.
Jeong, Chang‐Gi, et al.. (2025). A novel approach using IFNAR1 KO mice for assessing Akabane virus pathogenicity and vaccine efficacy. Vaccine. 53. 127094–127094. 1 indexed citations
3.
Imai, Hiroyuki, Tetsuya Yanagida, Ai Takano, et al.. (2024). Detection of various DNA and RNA viruses in bats in Yamaguchi Prefecture, Japan. Microbes and Infection. 27(2). 105425–105425. 2 indexed citations
4.
Jeong, Chang‐Gi, Chung-Young Lee, Jung‐Hoon Kwon, et al.. (2024). Emergence of HPAI H5N6 Clade 2.3.4.4b in Wild Birds: A Case Study From South Korea, 2023. Transboundary and Emerging Diseases. 2024(1). 4141478–4141478. 1 indexed citations
5.
Lee, Soo‐Kyoung, Jae‐Ku Oem, Keugtae Kim, et al.. (2024). Detection and infectivity of SARS-CoV-2 in Korean municipal wastewater facilities and characterization of environmental factors influencing wastewater-bound SARS-CoV-2. Environmental Science Water Research & Technology. 10(11). 2752–2764.
6.
Kim, Seung-Chai, Chang‐Gi Jeong, Young Ki Choi, et al.. (2024). Major Shift of Influenza A Virus of Swine (IAV‐S) by Human‐to‐Swine Spillover of the 2009 Pandemic Virus in Korea. Transboundary and Emerging Diseases. 2024(1). 6366170–6366170. 1 indexed citations
7.
Jeong, Chang‐Gi, et al.. (2023). Detection and Genetic Characterization of Astroviruses in Brain Tissues of Wild Raccoon Dogs. Viruses. 15(7). 1488–1488. 4 indexed citations
8.
Tark, Dongseob, Jae‐Ku Oem, Won‐Il Kim, et al.. (2022). Evidence of Exposure to SARS-CoV-2 in Dogs and Cats from Households and Animal Shelters in Korea. Animals. 12(20). 2786–2786. 10 indexed citations
9.
Jeong, Minsoo, Vineet Singh, Eun‐Jin Choi, et al.. (2022). Bacterial Profiles of Brain in Downer Cattle with Unknown Etiology. Microorganisms. 11(1). 98–98. 2 indexed citations
10.
Lee, Sookyoung, et al.. (2021). Astrovirus Infection in Cattle with Nonsuppurative Meningoencephalitis in South Korea. Viruses. 13(10). 1941–1941. 3 indexed citations
11.
Lee, Sook‐Young, et al.. (2019). Identification of Korean native cattle persistently infected with BVDV using Ear-notch method. Korean Journal of Veterinary Service. 42(2). 117–120. 1 indexed citations
12.
Yang, Myeon‐Sik, Jae‐Ik Han, Jae‐Ku Oem, et al.. (2018). Analysis of Five Arboviruses and Culicoides Distribution on Cattle Farms in Jeollabuk-do, Korea. Korean Journal of Parasitology. 56(5). 477–485. 13 indexed citations
13.
Choi, Jeong-Won, et al.. (2016). Molecular characteristics of a novel strain of canine minute virus associated with hepatitis in a dog. Archives of Virology. 161(8). 2299–2304. 14 indexed citations
14.
Choi, Jeong-Won, Myoung-Heon Lee, Kyoung-Ki Lee, & Jae‐Ku Oem. (2014). Genetic characteristics of the complete feline kobuvirus genome. Virus Genes. 50(1). 52–57. 10 indexed citations
15.
Oem, Jae‐Ku, Seong‐Hee Kim, Yeon-Hee Kim, Myoung-Heon Lee, & Kyoung-Ki Lee. (2013). Complete genome sequences of three rabies viruses isolated from rabid raccoon dogs and a cow in Korea. Virus Genes. 47(3). 563–568. 9 indexed citations
16.
Oem, Jae‐Ku, et al.. (2012). Genetic and pathogenic characterization of Akabane viruses isolated from cattle with encephalomyelitis in Korea. Veterinary Microbiology. 158(3-4). 259–266. 43 indexed citations
17.
Oem, Jae‐Ku, et al.. (2012). Molecular characterization of a Korean bovine parainfluenza virus type 3 isolate. Veterinary Microbiology. 162(1). 224–227. 38 indexed citations
18.
Kang, Hyun‐Mi, Jun‐Gu Choi, Minchul Kim, et al.. (2012). Isolation of a reassortant H13N2 virus from a mallard fecal sample in South Korea. Virology Journal. 9(1). 133–133. 9 indexed citations
19.
Kim, Hye-Ryoung, Choi‐Kyu Park, Youn‐Jeong Lee, et al.. (2009). An outbreak of highly pathogenic H5N1 avian influenza in Korea, 2008. Veterinary Microbiology. 141(3-4). 362–366. 51 indexed citations
20.
Oem, Jae‐Ku, Ming Te Yeh, Thomas McKenna, et al.. (2008). Pathogenic Characteristics of the Korean 2002 Isolate of Foot-and-Mouth Disease Virus Serotype O in Pigs and Cattle. Journal of Comparative Pathology. 138(4). 204–214. 31 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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