Dae‐Weon Park
Impact in
-
- Immune Response and Inflammation
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune cells in cancer
- Atherosclerosis and Cardiovascular Diseases
-
- MicroRNA in disease regulation
Papers in
-
- Immune Response and Inflammation 8
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 4
- Immune cells in cancer 2
- Oncology 6
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Suk‐Hwan Baek (16 shared papers)Jin‐Gu Lee (8 shared papers)Yoe‐Sik Bae (8 shared papers)Ji Hyo Lyu (4 shared papers)Eunjung Lim (3 shared papers)Jae-Ryong Kim (2 shared papers)Bin Huang (2 shared papers)Jinsik Kim (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Journal of Cellular Biochemistry (3 papers)Cellular Signalling (3 papers)Experimental & Molecular Medicine (1 paper)Oncology Reports (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Dae‐Weon Park
16 papers receiving 380 citations
Peers
Comparison fields: 5 of 80
- Immunology 145
- Cancer Research 46
- Biochemistry 19
- Geriatrics and Gerontology 8
- Molecular Biology 157
Countries citing papers authored by Dae‐Weon Park
This map shows the geographic impact of Dae‐Weon 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 Dae‐Weon Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae‐Weon Park more than expected).
Fields of papers citing papers by Dae‐Weon Park
This network shows the impact of papers produced by Dae‐Weon 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 Dae‐Weon Park. The network helps show where Dae‐Weon Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Dae‐Weon 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 | 2008 | 68 | |
| 2 | 2014 | 57 | |
| 3 | 2007 | 45 | |
| 4 | 2006 | 33 | |
| 5 | 2011 | 23 | |
| 6 | 2009 | 22 | |
| 7 | 2012 | 19 | |
| 8 | 2015 | 18 | |
| 9 | 2012 | 18 | |
| 10 | 2012 | 17 | |
| 11 | 2010 | 15 | |
| 12 | 2007 | 15 | |
| 13 | 2006 | 13 | |
| 14 | 2012 | 10 | |
| 15 | 2007 | 8 | |
| 16 | 2011 | 5 |
About Dae‐Weon Park
Dae‐Weon Park is a scholar working on Immunology, Oncology, Cancer Research, Molecular Biology and Hematology, having authored 16 papers that have together received 386 indexed citations. Recurring topics across this work include Immune Response and Inflammation (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Cell death mechanisms and regulation (3 papers), NF-κB Signaling Pathways (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Immune cells in cancer (2 papers) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Immunology (145 citations), Cancer Research (46 citations), Biochemistry (19 citations), Geriatrics and Gerontology (8 citations) and Molecular Biology (157 citations). Dae‐Weon Park has collaborated with scholars based in South Korea and United States. Frequent co-authors include Suk‐Hwan Baek, Jin‐Gu Lee, Yoe‐Sik Bae, Ji Hyo Lyu, Eunjung Lim, Jae-Ryong Kim, Bin Huang, Jinsik Kim, Jae-Ryong Kim and Jung-Hye Kim. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Cellular Biochemistry, Cellular Signalling, Experimental & Molecular Medicine and Oncology Reports.
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.