Su‐Young Kim
Impact in
- Microbiology top 1%
- Small Animals top 0.2%
- Infectious Diseases and Mycology
Papers in
-
- Infectious Diseases and Mycology 40
- Co-authors
- Sung Jae ShinWon‐Jung KohKyeongman JeonHee Jae HuhNam Yong LeeChang‐Seok KiByung Woo JhunHye Yun Park
- Journals
- Antimicrobial Agents and Chemotherapy (17 papers)Scientific Reports (7 papers)Diagnostic Microbiology and Infectious Disease (5 papers)The International Journal of Tuberculosis and Lung Disease (5 papers)Journal of Clinical Microbiology (5 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Su‐Young Kim
191 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 158
- Microbiology 93
- Small Animals 855
- Infectious Diseases 1.5k
- Epidemiology 2.2k
- Immunology 608
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 12 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 6 | |
| 8 | 2021 | 2 | |
| 9 | 2018 | 49 | |
| 10 | 2017 | 85 | |
| 11 | An Exploration of Nonlinear Latent Growth Model Using Exponential Function: As an Alternative to Quadratic LGM | 2017 | 0 |
| 12 | 2017 | 41 | |
| 13 | 2013 | 67 | |
| 14 | 2011 | 32 | |
| 15 | 2009 | 35 | |
| 16 | Noninfectious Severe Early Chamber Reaction after Penetrating Keratoplasty | 2007 | 3 |
| 17 | 2004 | 137 | |
| 18 | Comparative study between proportional method and directional method in locating acupoints at forearm | 2004 | 2 |
| 19 | Effects of Bee Venom on the pain, edema, and acute inflammatory reactant of Rheumatoid Arthritis patients | 2003 | 12 |
| 20 | On a fuzzy detection scheme for weak stochastic signals | 1992 | 1 |
About Su‐Young Kim
Su‐Young Kim is a scholar working on Small Animals, Microbiology, Infectious Diseases, Epidemiology and Ophthalmology, having authored 203 papers that have together received 5.1k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (87 papers), Tuberculosis Research and Epidemiology (73 papers), Infectious Diseases and Mycology (40 papers), Intraocular Surgery and Lenses (10 papers), Quinazolinone synthesis and applications (10 papers), Glaucoma and retinal disorders (8 papers), Corneal surgery and disorders (6 papers) and Quantum Dots Synthesis And Properties (5 papers). The work is most often cited by research in Microbiology (93 citations), Small Animals (855 citations), Infectious Diseases (1.5k citations), Epidemiology (2.2k citations) and Immunology (608 citations). Su‐Young Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sung Jae Shin, Won‐Jung Koh, 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, Diagnostic Microbiology and Infectious Disease, The International Journal of Tuberculosis and Lung Disease and Journal of Clinical Microbiology.
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.