Gyeong-Beom Heo

604 total citations
29 papers, 423 citations indexed

About

Gyeong-Beom Heo is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Gyeong-Beom Heo has authored 29 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Epidemiology, 25 papers in Infectious Diseases and 19 papers in Agronomy and Crop Science. Recurrent topics in Gyeong-Beom Heo's work include Influenza Virus Research Studies (29 papers), Animal Disease Management and Epidemiology (19 papers) and Viral gastroenteritis research and epidemiology (18 papers). Gyeong-Beom Heo is often cited by papers focused on Influenza Virus Research Studies (29 papers), Animal Disease Management and Epidemiology (19 papers) and Viral gastroenteritis research and epidemiology (18 papers). Gyeong-Beom Heo collaborates with scholars based in South Korea, United States and Mongolia. Gyeong-Beom Heo's co-authors include Youn‐Jeong Lee, Yuna Lee, Eun‐Kyoung Lee, Byung-Min Song, Soo‐Jeong Kye, Myoung-Heon Lee, You-Chan Bae, Kwang‐Nyeong Lee, Mingeun Sagong and Hyun‐Mi Kang and has published in prestigious journals such as Scientific Reports, Emerging infectious diseases and Virology.

In The Last Decade

Gyeong-Beom Heo

28 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gyeong-Beom Heo South Korea 14 400 300 272 55 19 29 423
Sahar Mahmood United Kingdom 12 295 0.7× 198 0.7× 190 0.7× 61 1.1× 21 1.1× 24 340
Benjamin C. Mollett United Kingdom 11 291 0.7× 158 0.5× 234 0.9× 63 1.1× 30 1.6× 20 383
Audrey Schmitz France 11 264 0.7× 212 0.7× 188 0.7× 37 0.7× 28 1.5× 18 323
Severine Hervé France 13 328 0.8× 301 1.0× 206 0.8× 58 1.1× 18 0.9× 22 394
Srey Viseth Horm Cambodia 13 331 0.8× 223 0.7× 227 0.8× 31 0.6× 23 1.2× 19 397
Jei-Hyun Jeong South Korea 10 228 0.6× 171 0.6× 171 0.6× 50 0.9× 13 0.7× 27 284
Sol Jeong South Korea 10 235 0.6× 196 0.7× 174 0.6× 53 1.0× 13 0.7× 27 278
Asmaa M. Maatouq Egypt 6 302 0.8× 237 0.8× 234 0.9× 87 1.6× 18 0.9× 13 384
Edyta Świętoń Poland 10 254 0.6× 156 0.5× 179 0.7× 49 0.9× 12 0.6× 22 291
Daniel Darnell United States 11 374 0.9× 288 1.0× 190 0.7× 56 1.0× 15 0.8× 15 423

Countries citing papers authored by Gyeong-Beom Heo

Since Specialization
Citations

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

Fields of papers citing papers by Gyeong-Beom Heo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gyeong-Beom Heo. 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 Gyeong-Beom Heo. The network helps show where Gyeong-Beom Heo may publish in the future.

Co-authorship network of co-authors of Gyeong-Beom Heo

This figure shows the co-authorship network connecting the top 25 collaborators of Gyeong-Beom Heo. A scholar is included among the top collaborators of Gyeong-Beom Heo 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 Gyeong-Beom Heo. Gyeong-Beom Heo 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, et al.. (2025). Development of a multiplex and universal RT-PCR assay for hemagglutinin and neuraminidase subtyping of avian influenza virus. Journal of Veterinary Science. 26(5). e59–e59.
3.
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
4.
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
5.
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
6.
7.
Heo, Gyeong-Beom, et al.. (2023). Subtype specific virus enrichment with immunomagnetic separation method followed by NGS unravels the mixture of H5 and H9 avian influenza virus. Journal of Virological Methods. 320. 114773–114773. 1 indexed citations
8.
Sagong, Mingeun, et al.. (2023). Development of a Novel Korean H9-Specific rRT-PCR Assay and Its Application for Avian Influenza Virus Surveillance in Korea. The Journal of Microbiology. 61(10). 929–936. 2 indexed citations
9.
Lee, Yuna, Yu‐Ri Park, David Chung, et al.. (2022). Evolution, Transmission, and Pathogenicity of High Pathogenicity Avian Influenza Virus A (H5N8) Clade 2.3.4.4, South Korea, 2014–2016. Frontiers in Veterinary Science. 9. 906944–906944. 4 indexed citations
10.
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
11.
Heo, Gyeong-Beom, Soo‐Jeong Kye, Mingeun Sagong, et al.. (2021). Genetic characterization of H9N2 avian influenza virus previously unrecognized in Korea. Journal of Veterinary Science. 22(2). e21–e21. 17 indexed citations
12.
13.
Lee, Yuna, Dong‐Hun Lee, Yu‐Ri Park, et al.. (2020). Genetic characteristics and pathogenesis of H5 low pathogenic avian influenza viruses from wild birds and domestic ducks in South Korea. Scientific Reports. 10(1). 12151–12151. 17 indexed citations
14.
15.
Lee, Yuna, Yuna Lee, Eun‐Kyoung Lee, et al.. (2018). Evaluation of the zoonotic potential of multiple subgroups of clade 2.3.4.4 influenza A (H5N8) virus. Virology. 516. 38–45. 9 indexed citations
16.
Lee, Yuna, Soo‐Jeong Kye, Eun‐Kyoung Lee, et al.. (2018). Novel reassortants of clade 2.3.4.4 H5N6 highly pathogenic avian influenza viruses possessing genetic heterogeneity in South Korea in late 2017. Journal of Veterinary Science. 19(6). 850–850. 16 indexed citations
17.
Song, Byung-Min, Eun‐Kyoung Lee, Yuna Lee, et al.. (2017). Phylogeographical characterization of H5N8 viruses isolated from poultry and wild birds during 2014–2016 in South Korea. Journal of Veterinary Science. 18(1). 89–89. 18 indexed citations
18.
Lee, Eun‐Kyoung, Hyun‐Mi Kang, Byung-Min Song, et al.. (2017). Surveillance of avian influenza viruses in South Korea between 2012 and 2014. Virology Journal. 14(1). 54–54. 37 indexed citations
19.
Lee, Eun‐Kyoung, Byung-Min Song, Hyun‐Mi Kang, et al.. (2016). Experimental infection of SPF and Korean native chickens with highly pathogenic avian influenza virus (H5N8). Poultry Science. 95(5). 1015–1019. 18 indexed citations
20.
Kang, Hyun‐Mi, Eun‐Kyoung Lee, Byung-Min Song, et al.. (2016). Experimental infection of mandarin duck with highly pathogenic avian influenza A (H5N8 and H5N1) viruses. Veterinary Microbiology. 198. 59–63. 32 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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