Hae Suk Cheong
- Epidemiology top 10%
- Molecular Medicine top 1%
- Infectious Diseases top 5%
- Molecular Biology
- Applied Microbiology and Biotechnology top 1%
- Co-authors
- Kyong Ran PeckDoo Ryeon ChungKwan Soo KoCheol‐In KangEun‐Jeong JooMin‐Jung KwonNam Yong LeeJae‐Hoon Song
- Topics
- Antibiotic Resistance in Bacteria (16 papers)Antibiotic Use and Resistance (7 papers)Urinary Tract Infections Management (7 papers)
- Partner nations
- South KoreaUnited StatesSri Lanka
In The Last Decade
Hae Suk Cheong
51 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 99
- Epidemiology 430
- Molecular Medicine 350
- Infectious Diseases 289
- Molecular Biology 174
- Applied Microbiology and Biotechnology 140
Countries citing papers authored by Hae Suk Cheong
This map shows the geographic impact of Hae Suk Cheong'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 Hae Suk Cheong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hae Suk Cheong more than expected).
Fields of papers citing papers by Hae Suk Cheong
This network shows the impact of papers produced by Hae Suk Cheong. 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 Hae Suk Cheong. The network helps show where Hae Suk Cheong may publish in the future.
Co-authorship network of co-authors of Hae Suk Cheong
This figure shows the co-authorship network connecting the top 25 collaborators of Hae Suk Cheong. A scholar is included among the top collaborators of Hae Suk Cheong 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 Hae Suk Cheong. Hae Suk Cheong 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 | 15 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 23 | |
| 11 | 18 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 135 | |
| 16 | 36 | |
| 17 | Clinical characteristics of infective endocarditis caused by Staphylococcus aureus: A 12-year experience in a tertiary-care hospital | 4 |
| 18 | Infectious Complications in Liver Transplant Recipients | 1 |
| 19 | 34 | |
| 20 | Clostridium difficile 연관 설사에 대한 metronidazole의 치료효과 | 4 |
About Hae Suk Cheong
Hae Suk Cheong is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (16 papers), Antibiotic Use and Resistance (7 papers) and Urinary Tract Infections Management (7 papers). The work is most often cited by research in Molecular Medicine (350 citations), Applied Microbiology and Biotechnology (140 citations) and Endocrinology (88 citations). Hae Suk Cheong has collaborated with scholars based in South Korea, United States and Sri Lanka. Frequent co-authors include Kyong Ran Peck, Doo Ryeon Chung, Kwan Soo Ko, Cheol‐In Kang, Eun‐Jeong Joo, Min‐Jung Kwon, Nam Yong Lee, Jae‐Hoon Song, Jae‐Hoon Song and Yu Mi Wi. Their work appears in journals such as Circulation Research, Clinical Infectious Diseases and Scientific Reports.
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.