Insu Hwang
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
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- Long-Term Effects of COVID-19
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 detection and testing 2
- Viral gastroenteritis research and epidemiology 2
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- Complement system in diseases 2
- Biomarkers in Disease Mechanisms 1
- Co-authors
- Kyun‐Do Kim (9 shared papers)Young‐Chan Kwon (5 shared papers)Gun Young Yoon (5 shared papers)Sumin Lee (3 shared papers)Gi Uk Jeong (4 shared papers)Won-Ho Shin (1 shared paper)Katsuki Ohtani (6 shared papers)Kenichiro Mori (5 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - General Subjects (3 papers)Immunobiology (2 papers)Journal of Medicinal Chemistry (1 paper)Experimental & Molecular Medicine (1 paper)Microbiology Spectrum (1 paper)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Insu Hwang
15 papers receiving 293 citations
Peers
Comparison fields: 5 of 69
- Infectious Diseases 112
- Neurology 43
- Neurology 63
- Biological Psychiatry 10
- Immunology 71
Countries citing papers authored by Insu Hwang
This map shows the geographic impact of Insu Hwang'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 Insu Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Insu Hwang more than expected).
Fields of papers citing papers by Insu Hwang
This network shows the impact of papers produced by Insu Hwang. 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 Insu Hwang. The network helps show where Insu Hwang may publish in the future.
Co-authors
The 25 scholars most cited alongside Insu Hwang, 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 | 2022 | 95 | |
| 2 | 2021 | 47 | |
| 3 | 2021 | 21 | |
| 4 | 2017 | 20 | |
| 5 | 2016 | 20 | |
| 6 | 2016 | 19 | |
| 7 | 2021 | 15 | |
| 8 | 2022 | 15 | |
| 9 | 2014 | 14 | |
| 10 | 2021 | 12 | |
| 11 | 2020 | 8 | |
| 12 | 2024 | 4 | |
| 13 | 2025 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 2016 | 0 |
About Insu Hwang
Insu Hwang is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Public Health, Environmental and Occupational Health and Neurology, having authored 16 papers that have together received 294 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 detection and testing (2 papers), Mosquito-borne diseases and control (2 papers), Complement system in diseases (2 papers), Long-Term Effects of COVID-19 (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Biomarkers in Disease Mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (112 citations), Neurology (43 citations), Neurology (63 citations), Biological Psychiatry (10 citations) and Immunology (71 citations). Insu Hwang has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Kyun‐Do Kim, Young‐Chan Kwon, Gun Young Yoon, Sumin Lee, Gi Uk Jeong, Won-Ho Shin, Katsuki Ohtani, Kenichiro Mori, Nobutaka Wakamiya and June‐Yong Lee. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - General Subjects, Immunobiology, Journal of Medicinal Chemistry, Experimental & Molecular Medicine and Microbiology Spectrum.
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.