Min-Goo Seo
- Parasitology top 0.5%
- Infectious Diseases top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Agronomy and Crop Science top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Dongmi KwakOh‐Deog KwonIn-Ohk OuhSeung‐Hun LeeHyang-Sim LeeByounghan KimSu-Mi KimJong Wan Kim
- Topics
- Vector-borne infectious diseases (43 papers)Viral Infections and Vectors (35 papers)Vector-Borne Animal Diseases (34 papers)
- Partner nations
- South KoreaIndiaPakistan
In The Last Decade
Min-Goo Seo
88 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 62
- Parasitology 727
- Infectious Diseases 550
- Ecology, Evolution, Behavior and Systematics 471
- Agronomy and Crop Science 197
- Cardiology and Cardiovascular Medicine 171
Countries citing papers authored by Min-Goo Seo
This map shows the geographic impact of Min-Goo Seo'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 Min-Goo Seo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min-Goo Seo more than expected).
Fields of papers citing papers by Min-Goo Seo
This network shows the impact of papers produced by Min-Goo Seo. 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 Min-Goo Seo. The network helps show where Min-Goo Seo may publish in the future.
Co-authorship network of co-authors of Min-Goo Seo
This figure shows the co-authorship network connecting the top 25 collaborators of Min-Goo Seo. A scholar is included among the top collaborators of Min-Goo Seo 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 Min-Goo Seo. Min-Goo Seo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 14 | |
| 11 | 15 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | Detection of antibodies against Fasciola hepatica in cattle of Ulleung island, Korea - short communication. | 2 |
| 15 | 26 | |
| 16 | 15 | |
| 17 | PREVALENCE OF GASTROINTESTINAL PARASITES IN KOREAN NATIVE GOATS (CAPRA HIRCUS AEGAGRUS) | 13 |
| 18 | Serologic detection of antibodies against rabies virus in dogs from animal shelters in Seoul, South Korea. | 3 |
| 19 | 20 | |
| 20 | Prevalence of antibodies to Toxoplasma gondii in cattle and pigs reared in eastern areas of Gyeongbuk province | 6 |
About Min-Goo Seo
Min-Goo Seo is a scholar working on Parasitology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 93 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (43 papers), Viral Infections and Vectors (35 papers) and Vector-Borne Animal Diseases (34 papers). The work is most often cited by research in Parasitology (727 citations), Infectious Diseases (550 citations) and Ecology, Evolution, Behavior and Systematics (471 citations). Min-Goo Seo has collaborated with scholars based in South Korea, India and Pakistan. Frequent co-authors include Dongmi Kwak, Oh‐Deog Kwon, In-Ohk Ouh, Seung‐Hun Lee, Hyang-Sim Lee, Byounghan Kim, Su-Mi Kim, Jong Wan Kim, Young-Joon Ko and Jong-Hyeon Park. Their work appears in journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Virology.
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.