Chang‐Seon Song
- Infectious Diseases top 0.5%
- Epidemiology top 1%
- Animal Science and Zoology top 0.2%
- Molecular Biology top 10%
- Agronomy and Crop Science top 0.5%
- Co-authors
- Dong‐Hun LeeSeung‐Yong ParkIn‐Soo ChoiJoong‐Bok LeeSang‐Won LeeDavid E. SwayneJin-Yong NohSeong‐Su Yuk
- Topics
- Influenza Virus Research Studies (91 papers)Viral gastroenteritis research and epidemiology (91 papers)Animal Virus Infections Studies (64 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Chang‐Seon Song
239 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Infectious Diseases 2.3k
- Epidemiology 1.8k
- Animal Science and Zoology 1.1k
- Molecular Biology 1.1k
- Agronomy and Crop Science 1.0k
Countries citing papers authored by Chang‐Seon Song
This map shows the geographic impact of Chang‐Seon 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 Chang‐Seon Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang‐Seon Song more than expected).
Fields of papers citing papers by Chang‐Seon Song
This network shows the impact of papers produced by Chang‐Seon 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 Chang‐Seon Song. The network helps show where Chang‐Seon Song may publish in the future.
Co-authorship network of co-authors of Chang‐Seon Song
This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Seon Song. A scholar is included among the top collaborators of Chang‐Seon 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 Chang‐Seon Song. Chang‐Seon Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 21 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 35 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 1 | |
| 17 | 29 | |
| 18 | 29 | |
| 19 | Single-nucleotide polymorphisms in prion protein gene of the Korean subspecies of Chinese water deer -Hydropotes inermis argyropus- | 3 |
| 20 | Bifidobacterium longum BL730 Confers Protective Potentials against Salmonella Infection to Mice | 0 |
About Chang‐Seon Song
Chang‐Seon Song is a scholar working on Infectious Diseases, Animal Science and Zoology and Agronomy and Crop Science, having authored 254 papers that have together received 5.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (91 papers), Viral gastroenteritis research and epidemiology (91 papers) and Animal Virus Infections Studies (64 papers). The work is most often cited by research in Infectious Diseases (2.3k citations), Animal Science and Zoology (1.1k citations) and Agronomy and Crop Science (1.0k citations). Chang‐Seon Song has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Dong‐Hun Lee, Seung‐Yong Park, In‐Soo Choi, Joong‐Bok Lee, Sang‐Won Lee, David E. Swayne, Jin-Yong Noh, Seong‐Su Yuk, Jung‐Hoon Kwon and Ha-Na Youn. Their work appears in journals such as Angewandte Chemie International Edition, ACS Nano and PLoS ONE.
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.