Ra Mi

742 total citations
36 papers, 534 citations indexed

About

Ra Mi is a scholar working on Infectious Diseases, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, Ra Mi has authored 36 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Infectious Diseases, 17 papers in Epidemiology and 16 papers in Agronomy and Crop Science. Recurrent topics in Ra Mi's work include Viral gastroenteritis research and epidemiology (22 papers), Animal Disease Management and Epidemiology (16 papers) and Viral Infections and Immunology Research (14 papers). Ra Mi is often cited by papers focused on Viral gastroenteritis research and epidemiology (22 papers), Animal Disease Management and Epidemiology (16 papers) and Viral Infections and Immunology Research (14 papers). Ra Mi collaborates with scholars based in South Korea, United States and Vietnam. Ra Mi's co-authors include J. Μ. Sharma, Mahesh Khatri, Joseph M. Palmquist, SeEun Choe, Dong-Jun An, Laszlo Zsak, Bang‐Hun Hyun, Bong‐Kyun Park, Gyunam Park and J. Michael Day and has published in prestigious journals such as Emerging infectious diseases, Vaccine and Poultry Science.

In The Last Decade

Ra Mi

35 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ra Mi South Korea 15 258 253 239 234 142 36 534
Jiazeng Chen China 10 240 0.9× 188 0.7× 256 1.1× 145 0.6× 140 1.0× 13 541
Soo‐Jeong Kye South Korea 14 335 1.3× 255 1.0× 185 0.8× 254 1.1× 86 0.6× 30 523
Michael McMenamy United Kingdom 11 143 0.6× 221 0.9× 221 0.9× 141 0.6× 116 0.8× 27 431
Véronique Jestin France 15 410 1.6× 239 0.9× 157 0.7× 200 0.9× 38 0.3× 27 515
Katinka Belák Sweden 14 157 0.6× 215 0.8× 208 0.9× 278 1.2× 142 1.0× 28 607
Jun-Hun Kwon South Korea 12 373 1.4× 294 1.2× 148 0.6× 326 1.4× 50 0.4× 18 526
Bernt Hjertner Sweden 12 143 0.6× 124 0.5× 176 0.7× 146 0.6× 106 0.7× 26 433
H. K. Shieh Taiwan 11 220 0.9× 181 0.7× 243 1.0× 102 0.4× 79 0.6× 13 411
Heidy Dı́az de Arce Cuba 15 84 0.3× 219 0.9× 273 1.1× 336 1.4× 277 2.0× 33 597
Tímea Tatár-Kis France 12 360 1.4× 190 0.8× 222 0.9× 159 0.7× 34 0.2× 19 500

Countries citing papers authored by Ra Mi

Since Specialization
Citations

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

Fields of papers citing papers by Ra Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ra Mi

This figure shows the co-authorship network connecting the top 25 collaborators of Ra Mi. A scholar is included among the top collaborators of Ra Mi 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 Ra Mi. Ra Mi 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.
Mi, Ra, Minji Park, Yuna Lee, et al.. (2025). Genetic characteristics and pathogenesis of clade 2.3.4.4b H5N1 high pathogenicity avian influenza virus isolated from poultry in South Korea, 2022–2023. Virus Research. 353. 199541–199541. 1 indexed citations
2.
Heo, Gyeong-Beom, Eunhye Park, Ra Mi, et al.. (2024). Highly Pathogenic Avian Influenza A(H5N1) Virus Infection in Cats, South Korea, 2023. Emerging infectious diseases. 30(12). 2510–2520. 15 indexed citations
3.
Mi, Ra, Yuna Lee, Minji Park, et al.. (2023). Genetic Characterization and Pathogenesis of H5N1 High Pathogenicity Avian Influenza Virus Isolated in South Korea during 2021–2022. Viruses. 15(6). 1403–1403. 7 indexed citations
4.
5.
Lee, Yuna, Ra Mi, Minji Park, et al.. (2023). Research Note: Comparative evaluation of pathogenicity in SPF chicken between different subgroups of H5N6 high pathogenicity avian influenza viruses. Poultry Science. 103(2). 103289–103289. 2 indexed citations
6.
Heo, Gyeong-Beom, Yuna Lee, Ra Mi, et al.. (2023). Introduction of Multiple Novel High Pathogenicity Avian Influenza (H5N1) Virus of Clade 2.3.4.4b into South Korea in 2022. Transboundary and Emerging Diseases. 2023. 1–8. 9 indexed citations
7.
Sagong, Mingeun, Yuna Lee, Ra Mi, et al.. (2022). Emergence of clade 2.3.4.4b novel reassortant H5N1 high pathogenicity avian influenza virus in South Korea during late 2021. Transboundary and Emerging Diseases. 69(5). e3255–e3260. 45 indexed citations
8.
Lee, Yuna, Dong‐Hun Lee, Jung‐Hoon Kwon, et al.. (2021). Genetic Characterization of Novel H7Nx Low Pathogenic Avian Influenza Viruses from Wild Birds in South Korea during the Winter of 2020–2021. Viruses. 13(11). 2274–2274. 3 indexed citations
9.
Park, Gyunam, Ra Mi, SeEun Choe, et al.. (2021). Genetic analysis of porcine parvoviruses detected in South Korean wild boars. Archives of Virology. 166(8). 2249–2254. 18 indexed citations
10.
Choe, SeEun, Gyunam Park, Jihye Shin, et al.. (2020). Efficacy of orally administered porcine epidemic diarrhea vaccine-loaded hydroxypropyl methylcellulose phthalate microspheres and RANKL-secreting L. lactis. Veterinary Microbiology. 242. 108604–108604. 10 indexed citations
11.
Choe, SeEun, Gyunam Park, Jihye Shin, et al.. (2019). Detection of subtypes (3a, 4a and 4d) and high prevalence of hepatitis E virus in Korean wild boar. Veterinary Microbiology. 240. 108531–108531. 8 indexed citations
12.
Lim, Seong-In, SeEun Choe, Ki-Sun Kim, et al.. (2019). Assessment of the efficacy of an attenuated live marker classical swine fever vaccine (Flc-LOM-BErns) in pregnant sows. Vaccine. 37(27). 3598–3604. 21 indexed citations
13.
An, Dong-Jun, Seong-In Lim, SeEun Choe, et al.. (2018). Evolutionary dynamics of classical swine fever virus in South Korea: 1987–2017. Veterinary Microbiology. 225. 79–88. 16 indexed citations
14.
Costa-Hurtado, Mar, Claudio L. Afonso, Patti J. Miller, et al.. (2015). Previous infection with virulent strains of Newcastle disease virus reduces highly pathogenic avian influenza virus replication, disease, and mortality in chickens. Veterinary Research. 46(1). 97–97. 23 indexed citations
15.
Zsak, Laszlo, Ra Mi, & J. Michael Day. (2013). Chicken Parvovirus–Induced Runting-Stunting Syndrome in Young Broilers. Avian Diseases. 57(1). 123–127. 37 indexed citations
16.
Mi, Ra, Diane Smith, Eric Shepherd, et al.. (2013). Suboptimal protection against H5N1 highly pathogenic avian influenza viruses from Vietnam in ducks vaccinated with commercial poultry vaccines. Vaccine. 31(43). 4953–4960. 36 indexed citations
17.
Mi, Ra, Qingzhong Yu, & Laszlo Zsak. (2013). The pathogenicity of avian metapneumovirus subtype C wild bird isolates in domestic turkeys. Virology Journal. 10(1). 38–38. 12 indexed citations
18.
Mi, Ra, Mahesh Khatri, Manohar B. Mutnal, & J. Μ. Sharma. (2010). Pathogenic and immunogenic responses in turkeys following in ovo exposure to avian metapneumovirus subtype C. Veterinary Immunology and Immunopathology. 140(1-2). 30–36. 9 indexed citations
19.
Mi, Ra, Mahesh Khatri, & J. Μ. Sharma. (2007). B-Cell Infiltration in the Respiratory Mucosa of Turkeys Exposed to Subtype C Avian Metapneumovirus. Avian Diseases. 51(3). 764–770. 12 indexed citations
20.
Khatri, Mahesh, Joseph M. Palmquist, Ra Mi, & J. Μ. Sharma. (2005). Infection and activation of bursal macrophages by virulent infectious bursal disease virus. Virus Research. 113(1). 44–50. 89 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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