Do Young Song
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
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- Antibiotic Use and Resistance
Papers in
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- Mycobacterium research and diagnosis 2
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- Antibiotic Resistance in Bacteria 4
- Co-authors
- Ki Tae Kwon (8 shared papers)Shinwon Lee (4 shared papers)Je Chul Lee (3 shared papers)Kun Woo Kim (2 shared papers)Seung Woo Han (2 shared papers)Yoo Chul Lee (2 shared papers)Hee Young Kang (1 shared paper)Dong Taek Cho (1 shared paper)
- Journals
- American Journal of Infection Control (2 papers)Microbial Drug Resistance (2 papers)Journal of Korean Medical Science (1 paper)Journal of Antimicrobial Chemotherapy (1 paper)Oral Oncology (1 paper)
- Partner nations
- South KoreaPuerto Rico
In The Last Decade
Do Young Song
15 papers receiving 284 citations
Peers
Comparison fields: 5 of 70
- Molecular Medicine 120
- Applied Microbiology and Biotechnology 23
- Endocrinology 36
- Infectious Diseases 55
- Pharmacology 34
Countries citing papers authored by Do Young Song
This map shows the geographic impact of Do Young Song'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 Do Young Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Do Young Song more than expected).
Fields of papers citing papers by Do Young Song
This network shows the impact of papers produced by Do Young Song. 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 Do Young Song. The network helps show where Do Young Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Do Young Song, 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 | 2007 | 59 | |
| 2 | 2006 | 52 | |
| 3 | 2014 | 46 | |
| 4 | 2014 | 28 | |
| 5 | 2013 | 27 | |
| 6 | Molecular characterization of Pseudomonas aeruginosa isolates resistant to all antimicrobial agents, but susceptible to colistin, in Daegu, Korea. | 2007 | 19 |
| 7 | 2013 | 16 | |
| 8 | 2021 | 13 | |
| 9 | 2019 | 6 | |
| 10 | 2009 | 6 | |
| 11 | Fatal melioidosis in a tourist returning from Cambodia | 2009 | 5 |
| 12 | 2019 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2014 | 3 | |
| 15 | 2011 | 1 | |
| 16 | 2003 | 1 |
About Do Young Song
Do Young Song is a scholar working on Epidemiology, Molecular Medicine, Infectious Diseases, Pharmacology and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 291 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (4 papers), Mycobacterium research and diagnosis (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Microbial Metabolism and Applications (1 paper), DNA Repair Mechanisms (1 paper), Tuberculosis Research and Epidemiology (1 paper), Vibrio bacteria research studies (1 paper) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Molecular Medicine (120 citations), Applied Microbiology and Biotechnology (23 citations), Endocrinology (36 citations), Infectious Diseases (55 citations) and Pharmacology (34 citations). Do Young Song has collaborated with scholars based in South Korea and Puerto Rico. Frequent co-authors include Ki Tae Kwon, Shinwon Lee, Je Chul Lee, Kun Woo Kim, Seung Woo Han, Yoo Chul Lee, Hee Young Kang, Dong Taek Cho, Ji Young Lee and Jung Hun Lee. Their work appears in journals such as American Journal of Infection Control, Microbial Drug Resistance, Journal of Korean Medical Science, Journal of Antimicrobial Chemotherapy and Oral Oncology.
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.