Jae‐Bum Jun
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
- Epidemiology 12
- Pneumonia and Respiratory Infections 4
- Urinary Tract Infections Management 3
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- Viral Infections and Vectors 3
- Co-authors
- Yang Soo Kim (7 shared papers)Sang‐Ho Choi (6 shared papers)Mi‐Na Kim (5 shared papers)Jun Hee Woo (7 shared papers)Jiwon Jung (5 shared papers)Joseph Jeong (4 shared papers)Jin-Won Chung (5 shared papers)Eun Hee Song (4 shared papers)
- Journals
- Journal of Korean Medical Science (2 papers)PLoS ONE (2 papers)BMC Medical Genomics (1 paper)Tropical Medicine and Infectious Disease (1 paper)Journal of Microbiology Immunology and Infection (1 paper)
- Partner nations
- South KoreaJapan
In The Last Decade
Jae‐Bum Jun
31 papers receiving 431 citations
Peers
Comparison fields: 5 of 76
- Molecular Medicine 99
- Applied Microbiology and Biotechnology 21
- Infectious Diseases 188
- Endocrinology 35
- Clinical Biochemistry 43
Countries citing papers authored by Jae‐Bum Jun
This map shows the geographic impact of Jae‐Bum Jun'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‐Bum Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Bum Jun more than expected).
Fields of papers citing papers by Jae‐Bum Jun
This network shows the impact of papers produced by Jae‐Bum Jun. 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‐Bum Jun. The network helps show where Jae‐Bum Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jae‐Bum Jun, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 76 | |
| 2 | 2010 | 47 | |
| 3 | 2009 | 33 | |
| 4 | 2017 | 32 | |
| 5 | 2014 | 31 | |
| 6 | 2017 | 24 | |
| 7 | 2014 | 22 | |
| 8 | 2015 | 21 | |
| 9 | 2017 | 17 | |
| 10 | 2013 | 16 | |
| 11 | 2007 | 16 | |
| 12 | 2020 | 16 | |
| 13 | 2005 | 16 | |
| 14 | 2017 | 13 | |
| 15 | 2016 | 9 | |
| 16 | 2006 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2022 | 7 | |
| 19 | 2016 | 5 | |
| 20 | 2010 | 5 |
About Jae‐Bum Jun
Jae‐Bum Jun is a scholar working on Epidemiology, Infectious Diseases, Molecular Medicine, Surgery and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 450 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Pneumonia and Respiratory Infections (4 papers), Urinary Tract Infections Management (3 papers), Appendicitis Diagnosis and Management (3 papers), Viral Infections and Vectors (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Bacterial biofilms and quorum sensing (2 papers) and Autoimmune and Inflammatory Disorders Research (2 papers). The work is most often cited by research in Molecular Medicine (99 citations), Applied Microbiology and Biotechnology (21 citations), Infectious Diseases (188 citations), Endocrinology (35 citations) and Clinical Biochemistry (43 citations). Jae‐Bum Jun has collaborated with scholars based in South Korea and Japan. Frequent co-authors include Yang Soo Kim, Sang‐Ho Choi, Mi‐Na Kim, Jun Hee Woo, Jiwon Jung, Joseph Jeong, Jin-Won Chung, Eun Hee Song, Mi Suk Lee and Eun Jung Lee. Their work appears in journals such as Journal of Korean Medical Science, PLoS ONE, BMC Medical Genomics, Tropical Medicine and Infectious Disease and Journal of Microbiology Immunology and Infection.
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.