Hi‐Gung Bae
Impact in
- Infectious Diseases top 5%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
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- Mosquito-borne diseases and control
- Malaria Research and Control
Papers in
-
- Viral Infections and Vectors 6
- Viral Infections and Outbreaks Research 3
-
- Mosquito-borne diseases and control 7
- Malaria Research and Control 1
- Co-authors
- Matthias Niedrig (7 shared papers)Andreas Nitsche (2 shared papers)Anette Teichmann (1 shared paper)Stefan S. Biel (1 shared paper)Stefanie Thulke (1 shared paper)W. Siegert (1 shared paper)Marcel A. Müller (1 shared paper)Aleksandar Radonić (1 shared paper)
- Journals
- Journal of Clinical Virology (3 papers)The Journal of Infectious Diseases (2 papers)Clinical Infectious Diseases (1 paper)Virology Journal (1 paper)Journal of Virological Methods (1 paper)
- Partner nations
- GermanyNetherlandsSpain
In The Last Decade
Hi‐Gung Bae
9 papers receiving 493 citations
Peers
Comparison fields: 5 of 64
- Infectious Diseases 303
- Public Health, Environmental and Occupational Health 333
- Endocrinology 39
- Virology 30
- Parasitology 29
Countries citing papers authored by Hi‐Gung Bae
This map shows the geographic impact of Hi‐Gung Bae'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 Hi‐Gung Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hi‐Gung Bae more than expected).
Fields of papers citing papers by Hi‐Gung Bae
This network shows the impact of papers produced by Hi‐Gung Bae. 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 Hi‐Gung Bae. The network helps show where Hi‐Gung Bae may publish in the future.
Co-authors
The 25 scholars most cited alongside Hi‐Gung Bae, 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 | 2003 | 105 | |
| 2 | 2005 | 88 | |
| 3 | 2009 | 86 | |
| 4 | 2004 | 81 | |
| 5 | 2006 | 48 | |
| 6 | 2008 | 45 | |
| 7 | 2005 | 33 | |
| 8 | 2003 | 26 | |
| 9 | 2006 | 2 |
About Hi‐Gung Bae
Hi‐Gung Bae is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Endocrinology and Molecular Biology, having authored 9 papers that have together received 514 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (6 papers), Viral Infections and Outbreaks Research (3 papers), Vibrio bacteria research studies (2 papers), Virology and Viral Diseases (2 papers), Hepatitis B Virus Studies (1 paper), Molecular Biology Techniques and Applications (1 paper) and Malaria Research and Control (1 paper). The work is most often cited by research in Infectious Diseases (303 citations), Public Health, Environmental and Occupational Health (333 citations), Endocrinology (39 citations), Virology (30 citations) and Parasitology (29 citations). Hi‐Gung Bae has collaborated with scholars based in Germany, Netherlands and Spain. Frequent co-authors include Matthias Niedrig, Andreas Nitsche, Anette Teichmann, Stefan S. Biel, Stefanie Thulke, W. Siegert, Marcel A. Müller, Aleksandar Radonić, Fernando de Ory and Antônio Tenório. Their work appears in journals such as Journal of Clinical Virology, The Journal of Infectious Diseases, Clinical Infectious Diseases, Virology Journal and Journal of Virological Methods.
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.