Heedo Park
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 22
- SARS-CoV-2 detection and testing 13
- COVID-19 Clinical Research Studies 10
- Viral Infections and Outbreaks Research 3
-
- interferon and immune responses 2
- Co-authors
- Man‐Seong Park (26 shared papers)Sung‐Han Kim (10 shared papers)Jiwon Jung (9 shared papers)Seongman Bae (7 shared papers)Ji Yeun Kim (8 shared papers)Jeonghun Kim (10 shared papers)So Yun Lim (6 shared papers)Jungmin Lee (7 shared papers)
- Journals
- Scientific Reports (2 papers)Journal of Medical Virology (2 papers)Journal of Korean Medical Science (2 papers)Viruses (2 papers)Autophagy (1 paper)
- Partner nations
- South KoreaJapanPuerto Rico
In The Last Decade
Heedo Park
26 papers receiving 313 citations
Peers
Comparison fields: 5 of 67
- Infectious Diseases 219
- Modeling and Simulation 39
- Health 24
- Pharmaceutical Science 11
- Neurology 25
Countries citing papers authored by Heedo Park
This map shows the geographic impact of Heedo Park'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 Heedo Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heedo Park more than expected).
Fields of papers citing papers by Heedo Park
This network shows the impact of papers produced by Heedo Park. 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 Heedo Park. The network helps show where Heedo Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Heedo Park, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 61 | |
| 2 | 2021 | 47 | |
| 3 | 2021 | 29 | |
| 4 | 2021 | 21 | |
| 5 | 2021 | 20 | |
| 6 | 2022 | 18 | |
| 7 | 2021 | 15 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2021 | 3 |
About Heedo Park
Heedo Park is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 316 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (22 papers), SARS-CoV-2 detection and testing (13 papers), COVID-19 Clinical Research Studies (10 papers), Viral Infections and Outbreaks Research (3 papers), Infection Control and Ventilation (2 papers), Influenza Virus Research Studies (2 papers), interferon and immune responses (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Infectious Diseases (219 citations), Modeling and Simulation (39 citations), Health (24 citations), Pharmaceutical Science (11 citations) and Neurology (25 citations). Heedo Park has collaborated with scholars based in South Korea, Japan and Puerto Rico. Frequent co-authors include Man‐Seong Park, Sung‐Han Kim, Jiwon Jung, Seongman Bae, Ji Yeun Kim, Jeonghun Kim, So Yun Lim, Jungmin Lee, Sung Hee Park and Joon Seo Lim. Their work appears in journals such as Scientific Reports, Journal of Medical Virology, Journal of Korean Medical Science, Viruses and Autophagy.
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.