Dae Sub Song

1.2k total citations
26 papers, 908 citations indexed

About

Dae Sub Song is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics. According to data from OpenAlex, Dae Sub Song has authored 26 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Animal Science and Zoology, 13 papers in Infectious Diseases and 13 papers in Genetics. Recurrent topics in Dae Sub Song's work include Animal Virus Infections Studies (14 papers), Viral gastroenteritis research and epidemiology (11 papers) and Virus-based gene therapy research (10 papers). Dae Sub Song is often cited by papers focused on Animal Virus Infections Studies (14 papers), Viral gastroenteritis research and epidemiology (11 papers) and Virus-based gene therapy research (10 papers). Dae Sub Song collaborates with scholars based in South Korea, Ethiopia and United States. Dae Sub Song's co-authors include So Yeun Kim, Bong Kyun Park, Jeong Sun Yang, Jae Kyung Park, Chul Seung Lee, Hye Kwon Kim, Yontao Lu, Jong‐Eun Lee, Yun Kyoung Kim and Hye-Mi Jang and has published in prestigious journals such as Scientific Reports, International Journal of Epidemiology and International Journal of Environmental Research and Public Health.

In The Last Decade

Dae Sub Song

25 papers receiving 891 citations

Peers

Dae Sub Song
Elisabetta Andreoli Italy
Chalermpol Lekcharoensuk Thailand
C. Durga Rao India
Morena Di Tommaso Italy
Sarah Caddy United Kingdom
Ayokunle T. Abegunde United States
M. Sakamoto Japan
Vipin K. Menon United States
Matthew Walters New Zealand
Zou S China
Elisabetta Andreoli Italy
Dae Sub Song
Citations per year, relative to Dae Sub Song Dae Sub Song (= 1×) peers Elisabetta Andreoli

Countries citing papers authored by Dae Sub Song

Since Specialization
Citations

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

Fields of papers citing papers by Dae Sub Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae Sub Song. 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 Dae Sub Song. The network helps show where Dae Sub Song may publish in the future.

Co-authorship network of co-authors of Dae Sub Song

This figure shows the co-authorship network connecting the top 25 collaborators of Dae Sub Song. A scholar is included among the top collaborators of Dae Sub Song 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 Dae Sub Song. Dae Sub Song 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.
Kim, Ji Hyun, Hae Dong Woo, Jane Lee, Dae Sub Song, & Kyoungho Lee. (2024). Association between short-term exposure to ambient air pollutants and biomarkers indicative of inflammation and oxidative stress: a cross-sectional study using KoGES-HEXA data. Environmental Health and Preventive Medicine. 29(0). 17–17. 10 indexed citations
2.
Kim, Ji Hyun, et al.. (2022). Long-Term Effects of Ambient Particulate and Gaseous Pollutants on Serum High-Sensitivity C-Reactive Protein Levels: A Cross-Sectional Study Using KoGES-HEXA Data. International Journal of Environmental Research and Public Health. 19(18). 11585–11585. 10 indexed citations
3.
Woo, Hae Dong, Dae Sub Song, Jae Kyung Park, et al.. (2022). Integrated dataset of the Korean Genome and Epidemiology Study cohort with estimated air pollution data. Epidemiology and Health. 44. e2022071–e2022071. 7 indexed citations
4.
Song, Dae Sub, et al.. (2022). Lower number of modifiable risk factors was associated with reduced atrial fibrillation incidence in an 18-year prospective cohort study. Scientific Reports. 12(1). 9207–9207. 2 indexed citations
5.
Lee, Jane, et al.. (2022). Effect of Short- to Long-Term Exposure to Ambient Particulate Matter on Cognitive Function in a Cohort of Middle-Aged and Older Adults: KoGES. International Journal of Environmental Research and Public Health. 19(16). 9913–9913. 10 indexed citations
6.
Park, Hyun‐Young, Jung Hyun Lee, Nam-Kyoo Lim, et al.. (2020). Presenting characteristics and clinical outcome of patients with COVID-19 in South Korea: A nationwide retrospective observational study. The Lancet Regional Health - Western Pacific. 5. 100061–100061. 11 indexed citations
7.
Moon, Sanghoon, Young Jin Kim, Sohee Han, et al.. (2019). The Korea Biobank Array: Design and Identification of Coding Variants Associated with Blood Biochemical Traits. Scientific Reports. 9(1). 1382–1382. 182 indexed citations
8.
Cho, Sooyoung, Aesun Shin, Dae Sub Song, et al.. (2017). Validity of self-reported cancer history in the health examinees (HEXA) study: A comparison of self-report and cancer registry records. Cancer Epidemiology. 50(Pt A). 16–21. 28 indexed citations
9.
Hong, Kyung‐Won, et al.. (2013). Genome-wide association study of serum albumin:globulin ratio in Korean populations. Journal of Human Genetics. 58(3). 174–177. 10 indexed citations
10.
Kim, Hyunil, Hye Kwon Kim, Jiho Kim, et al.. (2011). The assessment of efficacy of porcine reproductive respiratory syndrome virus inactivated vaccine based on the viral quantity and inactivation methods. Virology Journal. 8(1). 323–323. 47 indexed citations
11.
Kim, Hye Kwon, Chul Seung Lee, Seong Jun Park, et al.. (2011). Experimental infection of a newly emerging Korean type I porcine reproductive and respiratory syndrome virus isolate in colostrum-deprived pigs. Virology Journal. 8(1). 177–177. 8 indexed citations
12.
Kim, Hye Kwon, et al.. (2011). Identification of a novel single-stranded, circular DNA virus from bovine stool. Journal of General Virology. 93(3). 635–639. 40 indexed citations
13.
Kim, Hye Kwon, Jeong Sun Yang, Seong Jun Park, et al.. (2009). Genetic analysis of ORF5 of recent Korean porcine reproductive and respiratory syndrome viruses (PRRSVs) in viremic sera collected from MLV-vaccinating or non-vaccinating farms. Journal of Veterinary Science. 10(2). 121–121. 20 indexed citations
14.
Song, Dae Sub, Yong Joo Kim, Chan Hee Park, et al.. (2009). Evaluation of a competitive ELISA for antibody detection against avian influenza virus. Journal of Veterinary Science. 10(4). 323–323. 32 indexed citations
15.
Kang, Bo-Kyu, Dae Sub Song, Chul Seung Lee, et al.. (2008). Prevalence and genetic characterization of canine parvoviruses in Korea. Virus Genes. 36(1). 127–133. 58 indexed citations
16.
Song, Dae Sub, et al.. (2006). Multiplex Reverse Transcription-PCR for Rapid Differential Detection of Porcine Epidemic Diarrhea Virus, Transmissible Gastroenteritis Virus, and Porcine Group a Rotavirus. Journal of Veterinary Diagnostic Investigation. 18(3). 278–281. 70 indexed citations
17.
Song, Dae Sub, et al.. (2005). Comparison of an enzyme-linked immunosorbent assay with serum neutralization test for serodiagnosis of porcine epidemic diarrhea virus infection. Journal of Veterinary Science. 6(4). 349–349. 40 indexed citations
18.
19.
Song, Dae Sub, et al.. (2003). Isolation of H3N2 Swine Influenza Virus in South Korea. Journal of Veterinary Diagnostic Investigation. 15(1). 30–34. 27 indexed citations
20.
Song, Dae Sub, et al.. (2003). Identification of a putative cellular receptor 150 kDa polypeptide for porcine epidemic diarrhea virus in porcine enterocytes. Journal of Veterinary Science. 4(3). 269–269. 50 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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