Yoon‐Hoh Kook
- Epidemiology top 0.5%
- Infectious Diseases top 0.5%
- Small Animals top 0.1%
- Molecular Biology top 10%
- Hepatology top 2%
- Co-authors
- Bum‐Joon KimNam Yong LeeByoung-Jun KimChang-Yong ChaGill‐Han BaiWon‐Jung KohSeung‐Heon LeeChang Ki Kim
- Topics
- Mycobacterium research and diagnosis (64 papers)Tuberculosis Research and Epidemiology (45 papers)Infectious Diseases and Mycology (29 papers)
- Partner nations
- South KoreaEthiopiaPuerto Rico
In The Last Decade
Yoon‐Hoh Kook
112 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Epidemiology 2.7k
- Infectious Diseases 1.8k
- Small Animals 1.3k
- Molecular Biology 936
- Hepatology 441
Countries citing papers authored by Yoon‐Hoh Kook
This map shows the geographic impact of Yoon‐Hoh Kook'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 Yoon‐Hoh Kook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoon‐Hoh Kook more than expected).
Fields of papers citing papers by Yoon‐Hoh Kook
This network shows the impact of papers produced by Yoon‐Hoh Kook. 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 Yoon‐Hoh Kook. The network helps show where Yoon‐Hoh Kook may publish in the future.
Co-authorship network of co-authors of Yoon‐Hoh Kook
This figure shows the co-authorship network connecting the top 25 collaborators of Yoon‐Hoh Kook. A scholar is included among the top collaborators of Yoon‐Hoh Kook 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 Yoon‐Hoh Kook. Yoon‐Hoh Kook is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 17 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 25 | |
| 6 | 26 | |
| 7 | Clinical Significance of Differentiation of Mycobacterium massiliense from Mycobacterium abscessusbreakdown → | 400 |
| 8 | 0 | |
| 9 | 170 | |
| 10 | 250 | |
| 11 | 88 | |
| 12 | Differentiation of actinomycete genera based on partial rpoB gene sequences | 7 |
| 13 | 42 | |
| 14 | 9 | |
| 15 | Identification of mycobacterial species by comparative sequence analysis of the RNA polymerase gene (rpoB) | 12 |
| 16 | 14 | |
| 17 | Eukaryotic Expression of the Major Antigenic Determinants Evoking Neutralizing Autibodies in Human Cytomegalovirus (HCMV) Isolated in Korea | 1 |
| 18 | Improved Method for Detecting Neutralizing Antibody against Human Cytomegalovirus by using Specific Monoclonal Antibodies | 2 |
| 19 | Characterization of Monoclonal Antibodies Against Human Cytomegalovirus (HCMV) Glycoprotein | 1 |
| 20 | Production and Characterization of Human T cell Hybridomas | 1 |
About Yoon‐Hoh Kook
Yoon‐Hoh Kook is a scholar working on Small Animals, Infectious Diseases and Epidemiology, having authored 114 papers that have together received 4.0k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (64 papers), Tuberculosis Research and Epidemiology (45 papers) and Infectious Diseases and Mycology (29 papers). The work is most often cited by research in Microbiology (161 citations), Small Animals (1.3k citations) and Infectious Diseases (1.8k citations). Yoon‐Hoh Kook has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Bum‐Joon Kim, Nam Yong Lee, Byoung-Jun Kim, Chang-Yong Cha, Gill‐Han Bai, Won‐Jung Koh, Seung‐Heon Lee, Chang Ki Kim, O Jung Kwon and Kyeongman Jeon. Their work appears in journals such as The EMBO Journal, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.
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.