Daesub Song

158 papers and 4.2k indexed citations i.

About

Daesub Song is a scholar working on Infectious Diseases, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, Daesub Song has authored 158 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Infectious Diseases, 73 papers in Epidemiology and 50 papers in Agronomy and Crop Science. Recurrent topics in Daesub Song’s work include Influenza Virus Research Studies (64 papers), Viral gastroenteritis research and epidemiology (54 papers) and Animal Disease Management and Epidemiology (50 papers). Daesub Song is often cited by papers focused on Influenza Virus Research Studies (64 papers), Viral gastroenteritis research and epidemiology (54 papers) and Animal Disease Management and Epidemiology (50 papers). Daesub Song collaborates with scholars based in South Korea, United States and Vietnam. Daesub Song's co-authors include Bong‐Kyun Park, Bo-Kyu Kang, Hyoungjoon Moon, Minjoo Yeom, Kwonil Jung, Jin-Sik Oh, Chul Seung Lee, Woonsung Na, Dong-Jun An and Hye Kwon Kim and has published in prestigious journals such as Advanced Materials, Nature Communications and ACS Nano.

In The Last Decade

Co-authorship network of co-authors of Daesub Song i

Fields of papers citing papers by Daesub Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daesub Song

Since Specialization
Citations

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

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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