Jun Won Park
Impact in
-
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
-
- Cancer Cells and Metastasis
Papers in
-
- SARS-CoV-2 and COVID-19 Research 13
- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 detection and testing 2
-
- Long-Term Effects of COVID-19 5
- Co-authors
- Hark Kyun Kim (8 shared papers)Je Kyung Seong (10 shared papers)Dae-Yong Kim (3 shared papers)Soo Young Cho (3 shared papers)Dae‐Yong Kim (2 shared papers)Sang‐Ho Woo (2 shared papers)Jun-Won Yun (10 shared papers)Dongmin Park (1 shared paper)
- Journals
- Molecular Carcinogenesis (2 papers)Frontiers in Immunology (2 papers)Scientific Reports (2 papers)PLoS ONE (2 papers)Pathology International (2 papers)
- Partner nations
- South KoreaPuerto RicoEthiopia
In The Last Decade
Jun Won Park
38 papers receiving 453 citations
Peers
Comparison fields: 5 of 70
- Infectious Diseases 63
- Oncology 76
- Cancer Research 40
- Pulmonary and Respiratory Medicine 76
- Immunology 51
Countries citing papers authored by Jun Won Park
This map shows the geographic impact of Jun Won 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 Jun Won Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Won Park more than expected).
Fields of papers citing papers by Jun Won Park
This network shows the impact of papers produced by Jun Won 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 Jun Won Park. The network helps show where Jun Won Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Won 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 106 | |
| 2 | 2014 | 33 | |
| 3 | 2014 | 23 | |
| 4 | 2022 | 23 | |
| 5 | 2023 | 23 | |
| 6 | 2023 | 19 | |
| 7 | 2022 | 18 | |
| 8 | 2021 | 18 | |
| 9 | 2014 | 17 | |
| 10 | 2015 | 16 | |
| 11 | 2010 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2023 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2011 | 9 | |
| 20 | 2023 | 8 |
About Jun Won Park
Jun Won Park is a scholar working on Infectious Diseases, Neurology, Animal Science and Zoology, Oncology and Cancer Research, having authored 39 papers that have together received 454 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (13 papers), COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (5 papers), Animal Virus Infections Studies (3 papers), Cancer-related gene regulation (3 papers), MicroRNA in disease regulation (3 papers), Lung Cancer Research Studies (2 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Infectious Diseases (63 citations), Oncology (76 citations), Cancer Research (40 citations), Pulmonary and Respiratory Medicine (76 citations) and Immunology (51 citations). Jun Won Park has collaborated with scholars based in South Korea, Puerto Rico and Ethiopia. Frequent co-authors include Hark Kyun Kim, Je Kyung Seong, Dae-Yong Kim, Soo Young Cho, Dae‐Yong Kim, Sang‐Ho Woo, Jun-Won Yun, Dongmin Park, Hyo‐Jung Kwon and Jeffrey E. Green. Their work appears in journals such as Molecular Carcinogenesis, Frontiers in Immunology, Scientific Reports, PLoS ONE and Pathology International.
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.