Daeho Kwon
Impact in
- Endocrinology top 5%
- Legionella and Acanthamoeba research
-
- interferon and immune responses
- Immune Response and Inflammation
Papers in
-
- Cell death mechanisms and regulation 8
- RNA Interference and Gene Delivery 4
- Cancer-related gene regulation 4
- Epigenetics and DNA Methylation 4
- Immunology 12
- Immune Response and Inflammation 6
- interferon and immune responses 4
- Co-authors
- Joann P. Palma (3 shared papers)Etty Benveniste (5 shared papers)Byung‐Soo Kim (3 shared papers)Chulhee Choi (4 shared papers)Jinseu Park (2 shared papers)Neil A. Clipstone (1 shared paper)Kyungsun Choi (2 shared papers)In‐Hong Choi (4 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Parasitology Research (2 papers)Journal of Korean Medical Science (2 papers)Glia (2 papers)Scientific Reports (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Daeho Kwon
44 papers receiving 672 citations
Peers
Comparison fields: 5 of 106
- Endocrinology 99
- Immunology 171
- Neurology 58
- Molecular Medicine 34
- Molecular Biology 315
Countries citing papers authored by Daeho Kwon
This map shows the geographic impact of Daeho Kwon'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 Daeho Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daeho Kwon more than expected).
Fields of papers citing papers by Daeho Kwon
This network shows the impact of papers produced by Daeho Kwon. 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 Daeho Kwon. The network helps show where Daeho Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Daeho Kwon, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 70 | |
| 2 | 2004 | 67 | |
| 3 | 2008 | 66 | |
| 4 | 2003 | 41 | |
| 5 | 2003 | 38 | |
| 6 | 2012 | 33 | |
| 7 | 2008 | 24 | |
| 8 | 2004 | 24 | |
| 9 | 2018 | 20 | |
| 10 | 2012 | 20 | |
| 11 | 2019 | 20 | |
| 12 | 2004 | 17 | |
| 13 | 2007 | 17 | |
| 14 | 2014 | 16 | |
| 15 | 2008 | 14 | |
| 16 | 2017 | 14 | |
| 17 | 2008 | 13 | |
| 18 | 2023 | 13 | |
| 19 | 2002 | 13 | |
| 20 | 2015 | 11 |
About Daeho Kwon
Daeho Kwon is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Pharmacology, having authored 47 papers that have together received 682 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (8 papers), Immune Response and Inflammation (6 papers), NF-κB Signaling Pathways (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), RNA Interference and Gene Delivery (4 papers), Cancer-related gene regulation (4 papers), Epigenetics and DNA Methylation (4 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Endocrinology (99 citations), Immunology (171 citations), Neurology (58 citations), Molecular Medicine (34 citations) and Molecular Biology (315 citations). Daeho Kwon has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Joann P. Palma, Etty Benveniste, Byung‐Soo Kim, Chulhee Choi, Jinseu Park, Neil A. Clipstone, Kyungsun Choi, In‐Hong Choi, Eunil Lee and Jin‐Young Lee. Their work appears in journals such as Biochemical and Biophysical Research Communications, Parasitology Research, Journal of Korean Medical Science, Glia and Scientific 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.