Jun Won Park
Impact in
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- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
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- MicroRNA in disease regulation
Papers in
- Oncology 4
- Cancer Cells and Metastasis 3
- Pancreatic and Hepatic Oncology Research 1
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- Immune cells in cancer 2
- Biomarkers in Disease Mechanisms 1
- Co-authors
- Dae-Yong Kim (4 shared papers)Hyo‐Jung Kwon (1 shared paper)Jeffrey E. Green (1 shared paper)Dae Yong Kim (1 shared paper)Hark Kyun Kim (1 shared paper)Hark Kyun Kim (3 shared papers)Jung Min Park (1 shared paper)Myoung Hee Park (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Molecular Cancer Research (2 papers)Digestive and Liver Disease (1 paper)Cell Reports (1 paper)Cancer Research and Treatment (1 paper)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Jun Won Park
9 papers receiving 192 citations
Peers
Comparison fields: 5 of 39
- Oncology 60
- Cancer Research 33
- Ophthalmology 17
- Molecular Biology 101
- Pulmonary and Respiratory Medicine 35
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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 54 | |
| 2 | 2014 | 45 | |
| 3 | 2018 | 24 | |
| 4 | 2022 | 23 | |
| 5 | 2016 | 21 | |
| 6 | 2013 | 18 | |
| 7 | 2017 | 5 | |
| 8 | 2014 | 2 | |
| 9 | 2018 | 1 | |
| 10 | 2025 | 0 |
About Jun Won Park
Jun Won Park is a scholar working on Oncology, Immunology, Molecular Biology, Pulmonary and Respiratory Medicine and Genetics, having authored 10 papers that have together received 193 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), Immune cells in cancer (2 papers), Estrogen and related hormone effects (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Biomarkers in Disease Mechanisms (1 paper), S100 Proteins and Annexins (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Oncology (60 citations), Cancer Research (33 citations), Ophthalmology (17 citations), Molecular Biology (101 citations) and Pulmonary and Respiratory Medicine (35 citations). Jun Won Park has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Dae-Yong Kim, Hyo‐Jung Kwon, Jeffrey E. Green, Dae Yong Kim, Hark Kyun Kim, Hark Kyun Kim, Jung Min Park, Myoung Hee Park, Yeong Wook Song and Hyeong Gon Yu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Molecular Cancer Research, Digestive and Liver Disease, Cell Reports and Cancer Research and Treatment.
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.