Kang-Seok Seo
- Molecular Biology
- Animal Science and Zoology top 1%
- Genetics top 5%
- Cancer Research top 10%
- Physiology
- Co-authors
- Jin Young JeongMyunggi BaikEung-Gi KwonSeok Ki ImKi‐Chang NamJong Pyo ChaeEdward PajarilloDae‐Kyung Kang
- Topics
- Genetic and phenotypic traits in livestock (26 papers)Meat and Animal Product Quality (22 papers)Animal Nutrition and Physiology (16 papers)
- Partner nations
- South KoreaPhilippinesEthiopia
In The Last Decade
Kang-Seok Seo
80 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 134
- Molecular Biology 512
- Animal Science and Zoology 413
- Genetics 341
- Cancer Research 198
- Physiology 143
Countries citing papers authored by Kang-Seok Seo
This map shows the geographic impact of Kang-Seok 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 Kang-Seok Seo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang-Seok Seo more than expected).
Fields of papers citing papers by Kang-Seok Seo
This network shows the impact of papers produced by Kang-Seok 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 Kang-Seok Seo. The network helps show where Kang-Seok Seo may publish in the future.
Co-authorship network of co-authors of Kang-Seok Seo
This figure shows the co-authorship network connecting the top 25 collaborators of Kang-Seok Seo. A scholar is included among the top collaborators of Kang-Seok 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 Kang-Seok Seo. Kang-Seok 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 | 2 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 17 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 13 | |
| 10 | 12 | |
| 11 | 18 | |
| 12 | 39 | |
| 13 | 6 | |
| 14 | Estimation of genetic parameters for change of test day records on the milk production and SCS using Random Regression model of the Holstein cattle in Korea. | 2 |
| 15 | Estimation of growth curves of body weight and measurements for Hanwoo steers. | 1 |
| 16 | Inbreeding and effective population size of Holstein in Korea. | 0 |
| 17 | Three cases of gas-forming liver abscesses successfully treated by early pigtail catheter drainage | 1 |
| 18 | A case of gastric adenocarcinoma presented as internal jugular vein thrombosis | 0 |
| 19 | A study on growth characteristics of Korean Native Pig (KNP) and Landrace using individual growth curve parameters | 1 |
| 20 | 41 |
About Kang-Seok Seo
Kang-Seok Seo is a scholar working on Animal Science and Zoology, Genetics and Agronomy and Crop Science, having authored 86 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (26 papers), Meat and Animal Product Quality (22 papers) and Animal Nutrition and Physiology (16 papers). The work is most often cited by research in Animal Science and Zoology (413 citations), Cancer Research (198 citations) and Genetics (341 citations). Kang-Seok Seo has collaborated with scholars based in South Korea, Philippines and Ethiopia. Frequent co-authors include Jin Young Jeong, Myunggi Baik, Eung-Gi Kwon, Seok Ki Im, Ki‐Chang Nam, Jong Pyo Chae, Edward Pajarillo, Dae‐Kyung Kang, Marilen P. Balolong and Hyeun Bum Kim. Their work appears in journals such as PLoS ONE, Biochemical Journal and Applied Microbiology and Biotechnology.
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.