Su‐Young Kim
Impact in
- Microbiology top 1%
- Small Animals top 0.2%
- Infectious Diseases and Mycology
Papers in
- Epidemiology 92
- Mycobacterium research and diagnosis 84
-
- Tuberculosis Research and Epidemiology 56
- Co-authors
- Won‐Jung Koh (58 shared papers)Sung Jae Shin (62 shared papers)Kyeongman Jeon (39 shared papers)Hee Jae Huh (34 shared papers)Nam Yong Lee (34 shared papers)Chang‐Seok Ki (28 shared papers)Byung Woo Jhun (40 shared papers)Hye Yun Park (22 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (17 papers)Scientific Reports (7 papers)Journal of Clinical Microbiology (5 papers)The International Journal of Tuberculosis and Lung Disease (5 papers)Diagnostic Microbiology and Infectious Disease (5 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Su‐Young Kim
181 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 149
- Microbiology 86
- Small Animals 756
- Infectious Diseases 1.3k
- Epidemiology 2.2k
- Hepatology 169
Countries citing papers authored by Su‐Young Kim
This map shows the geographic impact of Su‐Young Kim'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 Su‐Young Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su‐Young Kim more than expected).
Fields of papers citing papers by Su‐Young Kim
This network shows the impact of papers produced by Su‐Young Kim. 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 Su‐Young Kim. The network helps show where Su‐Young Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Su‐Young Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 191 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 203 | |
| 2 | 2017 | 169 | |
| 3 | 2016 | 162 | |
| 4 | 2004 | 147 | |
| 5 | 2009 | 137 | |
| 6 | 2014 | 113 | |
| 7 | 2008 | 110 | |
| 8 | 2016 | 100 | |
| 9 | 2004 | 96 | |
| 10 | 2009 | 94 | |
| 11 | 2017 | 92 | |
| 12 | 2012 | 91 | |
| 13 | 2015 | 83 | |
| 14 | 2013 | 77 | |
| 15 | 2013 | 76 | |
| 16 | 2014 | 71 | |
| 17 | 2012 | 65 | |
| 18 | 2009 | 59 | |
| 19 | 2003 | 57 | |
| 20 | 2014 | 55 |
About Su‐Young Kim
Su‐Young Kim is a scholar working on Epidemiology, Infectious Diseases, Small Animals, Molecular Biology and Surgery, having authored 191 papers that have together received 4.7k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (84 papers), Tuberculosis Research and Epidemiology (56 papers), Infectious Diseases and Mycology (29 papers), Quinazolinone synthesis and applications (7 papers), Quantum Dots Synthesis And Properties (5 papers), Intraocular Surgery and Lenses (5 papers), Corneal surgery and disorders (4 papers) and Chalcogenide Semiconductor Thin Films (4 papers). The work is most often cited by research in Microbiology (86 citations), Small Animals (756 citations), Infectious Diseases (1.3k citations), Epidemiology (2.2k citations) and Hepatology (169 citations). Su‐Young Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Won‐Jung Koh, Sung Jae Shin, Kyeongman Jeon, Hee Jae Huh, Nam Yong Lee, Chang‐Seok Ki, Byung Woo Jhun, Hye Yun Park, Charles L. Daley and Byeong‐Ho Jeong. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Scientific Reports, Journal of Clinical Microbiology, The International Journal of Tuberculosis and Lung Disease and Diagnostic Microbiology and Infectious Disease.
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.