Hachung Yoon
- Agronomy and Crop Science top 1%
- Epidemiology top 10%
- Infectious Diseases top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Sung‐Hwan WeeSoon‐Seek YoonH.M. NamOun-Kyong MoonJun‐Gu ChoiYoun‐Jeong LeeEun‐Kyoung LeeChoi‐Kyu Park
- Topics
- Animal Disease Management and Epidemiology (39 papers)Vector-Borne Animal Diseases (16 papers)Influenza Virus Research Studies (14 papers)
- Partner nations
- South KoreaIrelandUnited States
In The Last Decade
Hachung Yoon
50 papers receiving 734 citations
Peers
Comparison fields: 5 of 67
- Agronomy and Crop Science 505
- Epidemiology 322
- Infectious Diseases 246
- Ecology, Evolution, Behavior and Systematics 228
- Cardiology and Cardiovascular Medicine 193
Countries citing papers authored by Hachung Yoon
This map shows the geographic impact of Hachung Yoon'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 Hachung Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hachung Yoon more than expected).
Fields of papers citing papers by Hachung Yoon
This network shows the impact of papers produced by Hachung Yoon. 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 Hachung Yoon. The network helps show where Hachung Yoon may publish in the future.
Co-authorship network of co-authors of Hachung Yoon
This figure shows the co-authorship network connecting the top 25 collaborators of Hachung Yoon. A scholar is included among the top collaborators of Hachung Yoon 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 Hachung Yoon. Hachung Yoon 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 | 0 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 4 | |
| 10 | Epidemiological models on spread of foot-and-mouth disease and application of the Davis Animal Disease Simulation model in the Republic of Korea | 1 |
| 11 | 27 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 14 | |
| 15 | 21 | |
| 16 | 4 | |
| 17 | Risk factors for bovine brucellosis in Korea : A case control study | 2 |
| 18 | 45 | |
| 19 | 45 | |
| 20 | A Case-Control Study on the Relationship between Obesity and Female Colorectal Cancer | 1 |
About Hachung Yoon
Hachung Yoon is a scholar working on Agronomy and Crop Science, Small Animals and Infectious Diseases, having authored 57 papers that have together received 780 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (39 papers), Vector-Borne Animal Diseases (16 papers) and Influenza Virus Research Studies (14 papers). The work is most often cited by research in Agronomy and Crop Science (505 citations), Infectious Diseases (246 citations) and Small Animals (90 citations). Hachung Yoon has collaborated with scholars based in South Korea, Ireland and United States. Frequent co-authors include Sung‐Hwan Wee, Soon‐Seek Yoon, H.M. Nam, Oun-Kyong Moon, Jun‐Gu Choi, Youn‐Jeong Lee, Eun‐Kyoung Lee, Choi‐Kyu Park, O.-K. Moon and Wooseog Jeong. Their work appears in journals such as PLoS ONE, Scientific Reports and Emerging infectious diseases.
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.