Minho Won
Impact in
- Cancer Research top 10%
- NF-κB Signaling Pathways
-
- Immune Response and Inflammation
- interferon and immune responses
Papers in
-
- Cell death mechanisms and regulation 9
- Ubiquitin and proteasome pathways 5
- RNA Research and Splicing 4
- CRISPR and Genetic Engineering 4
- RNA modifications and cancer 3
- Cell Biology 10
- Co-authors
- Gang Min Hur (29 shared papers)Kyeong Ah Park (19 shared papers)Hee Sun Byun (18 shared papers)Jeong Ho Seok (15 shared papers)Jongsun Park (13 shared papers)Jang Hee Hong (11 shared papers)Jin‐Man Kim (7 shared papers)Han‐Ming Shen (7 shared papers)
- Journals
- PLoS ONE (4 papers)Autophagy (2 papers)Molecules and Cells (2 papers)Journal of Biological Chemistry (2 papers)Toxicological Research (2 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Minho Won
43 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Cancer Research 224
- Immunology 212
- Molecular Biology 665
- Geriatrics and Gerontology 30
- Toxicology 25
Countries citing papers authored by Minho Won
This map shows the geographic impact of Minho Won'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 Minho Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minho Won more than expected).
Fields of papers citing papers by Minho Won
This network shows the impact of papers produced by Minho Won. 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 Minho Won. The network helps show where Minho Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Minho Won, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 111 | |
| 2 | 2010 | 77 | |
| 3 | 2009 | 69 | |
| 4 | 2007 | 65 | |
| 5 | 2009 | 64 | |
| 6 | 2007 | 57 | |
| 7 | 2020 | 48 | |
| 8 | 2009 | 38 | |
| 9 | 2006 | 37 | |
| 10 | 2016 | 37 | |
| 11 | 2009 | 34 | |
| 12 | 2019 | 33 | |
| 13 | 2015 | 33 | |
| 14 | 2008 | 31 | |
| 15 | 2018 | 28 | |
| 16 | 2017 | 24 | |
| 17 | 2008 | 20 | |
| 18 | 2006 | 19 | |
| 19 | 2006 | 17 | |
| 20 | 2016 | 16 |
About Minho Won
Minho Won is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Immunology and Oncology, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (9 papers), NF-κB Signaling Pathways (8 papers), Ubiquitin and proteasome pathways (5 papers), RNA Research and Splicing (4 papers), CRISPR and Genetic Engineering (4 papers), Cancer-related Molecular Pathways (3 papers), RNA modifications and cancer (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Cancer Research (224 citations), Immunology (212 citations), Molecular Biology (665 citations), Geriatrics and Gerontology (30 citations) and Toxicology (25 citations). Minho Won has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Gang Min Hur, Kyeong Ah Park, Hee Sun Byun, Jeong Ho Seok, Jongsun Park, Jang Hee Hong, Jin‐Man Kim, Han‐Ming Shen, Igor B. Dawid and Yuwen Li. Their work appears in journals such as PLoS ONE, Autophagy, Molecules and Cells, Journal of Biological Chemistry and Toxicological Research.
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.