Jae‐Hoon Song
- Infectious Diseases top 0.5%
- Molecular Medicine top 0.2%
- Molecular Biology top 10%
- Epidemiology top 2%
- Clinical Biochemistry top 0.2%
- Co-authors
- Kyong Ran PeckKwan Soo KoDoo Ryeon ChungCheol‐In KangNam Yong LeeWon Sup OhJin Yang BaekKeiichi Hiramatsu
- Topics
- Antibiotic Resistance in Bacteria (44 papers)Antimicrobial Resistance in Staphylococcus (40 papers)Bacterial Identification and Susceptibility Testing (32 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersPLoS ONE
- Partner nations
- South KoreaUnited StatesThailand
In The Last Decade
Jae‐Hoon Song
168 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 163
- Infectious Diseases 1.6k
- Molecular Medicine 1.5k
- Molecular Biology 1.2k
- Epidemiology 1.2k
- Clinical Biochemistry 886
Countries citing papers authored by Jae‐Hoon Song
This map shows the geographic impact of Jae‐Hoon 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 Jae‐Hoon Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Hoon Song more than expected).
Fields of papers citing papers by Jae‐Hoon Song
This network shows the impact of papers produced by Jae‐Hoon 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 Jae‐Hoon Song. The network helps show where Jae‐Hoon Song may publish in the future.
Co-authorship network of co-authors of Jae‐Hoon Song
This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Hoon Song. A scholar is included among the top collaborators of Jae‐Hoon Song 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 Jae‐Hoon Song. Jae‐Hoon Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | Research on Correlation between Heterogeneity & Faultlines of Board of Directors and the Risk Taking of Chinese Joint-stock Commercial Banks | 0 |
| 5 | 10 | |
| 6 | 19 | |
| 7 | 13 | |
| 8 | 13 | |
| 9 | 21 | |
| 10 | Implementation of sensor-embedded main wing model of ultra light airplane for health and usage monitoring system (HUMS) test-bed | 1 |
| 11 | 19 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | 60 | |
| 15 | 59 | |
| 16 | 3 | |
| 17 | 14 | |
| 18 | Identification of Gemella species by 16S ribosomal RNA gene sequencing from two patients with infective endocarditis | 2 |
| 19 | FATIGUE OF CORD-RUBBER COMPOSITES FOR TIRES | 3 |
| 20 | A Reconfigurable Test Access Mechanism for Embedded Core Test | 1 |
About Jae‐Hoon Song
Jae‐Hoon Song is a scholar working on Molecular Medicine, Clinical Biochemistry and Endocrinology, having authored 174 papers that have together received 4.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (44 papers), Antimicrobial Resistance in Staphylococcus (40 papers) and Bacterial Identification and Susceptibility Testing (32 papers). The work is most often cited by research in Molecular Medicine (1.5k citations), Applied Microbiology and Biotechnology (284 citations) and Endocrinology (695 citations). Jae‐Hoon Song has collaborated with scholars based in South Korea, United States and Thailand. Frequent co-authors include Kyong Ran Peck, Kwan Soo Ko, Doo Ryeon Chung, Cheol‐In Kang, Nam Yong Lee, Won Sup Oh, Jin Yang Baek, Keiichi Hiramatsu, Teruyo Ito and Won Kook Choi. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.
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.