Sun Hee Na
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Infection Control in Healthcare
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
Papers in
-
- Urinary Tract Infections Management 3
- Respiratory viral infections research 2
-
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Soo Yong Kim (4 shared papers)Byung‐Joo Ham (2 shared papers)Seung-Hyun Jin (2 shared papers)Eun Young Nam (5 shared papers)Pyoeng Gyun Choe (5 shared papers)Kyoung‐Ho Song (5 shared papers)Eu Suk Kim (5 shared papers)Nam Joong Kim (5 shared papers)
- Journals
- Journal of Korean Medical Science (3 papers)Clinical Neurophysiology (2 papers)International Journal of Psychophysiology (2 papers)Diagnostic Microbiology and Infectious Disease (1 paper)BMJ Open (1 paper)
- Partner nations
- South KoreaEthiopiaPuerto Rico
In The Last Decade
Sun Hee Na
15 papers receiving 423 citations
Peers
Comparison fields: 5 of 79
- Infectious Diseases 190
- Cognitive Neuroscience 164
- Applied Microbiology and Biotechnology 11
- Neurology 74
- Hepatology 19
Countries citing papers authored by Sun Hee Na
This map shows the geographic impact of Sun Hee Na'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 Sun Hee Na with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Hee Na more than expected).
Fields of papers citing papers by Sun Hee Na
This network shows the impact of papers produced by Sun Hee Na. 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 Sun Hee Na. The network helps show where Sun Hee Na may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun Hee Na, 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 | 2016 | 156 | |
| 2 | 2002 | 129 | |
| 3 | 2015 | 24 | |
| 4 | 2003 | 23 | |
| 5 | 2006 | 20 | |
| 6 | 2016 | 19 | |
| 7 | 2015 | 15 | |
| 8 | 2015 | 10 | |
| 9 | 2004 | 10 | |
| 10 | 2014 | 9 | |
| 11 | 2022 | 5 | |
| 12 | 2024 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 |
About Sun Hee Na
Sun Hee Na is a scholar working on Epidemiology, Infectious Diseases, Cognitive Neuroscience, Surgery and Neurology, having authored 17 papers that have together received 427 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), COVID-19 Clinical Research Studies (3 papers), Urinary Tract Infections Management (3 papers), Neural dynamics and brain function (3 papers), Long-Term Effects of COVID-19 (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Respiratory viral infections research (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Infectious Diseases (190 citations), Cognitive Neuroscience (164 citations), Applied Microbiology and Biotechnology (11 citations), Neurology (74 citations) and Hepatology (19 citations). Sun Hee Na has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Soo Yong Kim, Byung‐Joo Ham, Seung-Hyun Jin, Eun Young Nam, Pyoeng Gyun Choe, Kyoung‐Ho Song, Eu Suk Kim, Nam Joong Kim, Hong Bin Kim and Myoung‐don Oh. Their work appears in journals such as Journal of Korean Medical Science, Clinical Neurophysiology, International Journal of Psychophysiology, Diagnostic Microbiology and Infectious Disease and BMJ Open.
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.