Jae‐Ku Oem

39 total papers · 729 total citations
32 papers, 595 citations indexed

About

Jae‐Ku Oem is a scholar working on Infectious Diseases, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, Jae‐Ku Oem has authored 32 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 11 papers in Epidemiology and 11 papers in Agronomy and Crop Science. Recurrent topics in Jae‐Ku Oem's work include Viral Infections and Vectors (11 papers), Animal Disease Management and Epidemiology (11 papers) and Influenza Virus Research Studies (7 papers). Jae‐Ku Oem is often cited by papers focused on Viral Infections and Vectors (11 papers), Animal Disease Management and Epidemiology (11 papers) and Influenza Virus Research Studies (7 papers). Jae‐Ku Oem collaborates with scholars based in South Korea, United States and Canada. Jae‐Ku Oem's co-authors include Hye-Ryoung Kim, Weon‐Hwa Jheong, Yan Zhou, Lorne A. Babiuk, You-Chan Bae, O-Soo Lee, Jipseol Jeong, Dongmi Kwak, Hitoshi Shimano and Qiang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Emerging infectious diseases and Journal of General Virology.

In The Last Decade

Jae‐Ku Oem

32 papers receiving 577 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jae‐Ku Oem 318 232 177 111 97 32 595
Ventzislav Vassilev 217 0.7× 318 1.4× 184 1.0× 120 1.1× 61 0.6× 20 665
Xiaobo Wen 208 0.7× 109 0.5× 161 0.9× 78 0.7× 33 0.3× 36 500
V. Spyrou 158 0.5× 177 0.8× 140 0.8× 64 0.6× 68 0.7× 31 591
Martha A. Mellencamp 258 0.8× 102 0.4× 73 0.4× 86 0.8× 192 2.0× 23 626
Pierre‐Hugues Pitel 124 0.4× 207 0.9× 156 0.9× 88 0.8× 218 2.2× 47 692
Loretta Masoero 291 0.9× 122 0.5× 313 1.8× 223 2.0× 36 0.4× 46 674
Quanshui Fan 325 1.0× 210 0.9× 43 0.2× 44 0.4× 87 0.9× 32 581
M. L. Pacciarini 414 1.3× 228 1.0× 100 0.6× 53 0.5× 94 1.0× 24 635
Letizia Ceglie 312 1.0× 48 0.2× 110 0.6× 114 1.0× 149 1.5× 38 517
Claudio Caruso 251 0.8× 134 0.6× 228 1.3× 158 1.4× 27 0.3× 36 529

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

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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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2026