Minho Won
Impact in
- Cancer Research top 10%
- NF-κB Signaling Pathways
- Geriatrics and Gerontology top 10%
Papers in
-
- Cell death mechanisms and regulation 9
- Ubiquitin and proteasome pathways 5
- RNA Research and Splicing 4
- CRISPR and Genetic Engineering 4
- Developmental Biology and Gene Regulation 3
- Epigenetics and DNA Methylation 3
- 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)Cell Death and Differentiation (2 papers)Oncogene (2 papers)Experimental & Molecular Medicine (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Minho Won
46 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 205
- Geriatrics and Gerontology 33
- Immunology 187
- Molecular Biology 630
- Toxicology 23
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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 114 | |
| 2 | 2010 | 79 | |
| 3 | 2009 | 71 | |
| 4 | 2009 | 68 | |
| 5 | 2007 | 65 | |
| 6 | 2007 | 62 | |
| 7 | 2020 | 58 | |
| 8 | 2009 | 40 | |
| 9 | 2006 | 38 | |
| 10 | 2016 | 37 | |
| 11 | 2019 | 37 | |
| 12 | 2015 | 33 | |
| 13 | 2009 | 33 | |
| 14 | 2008 | 31 | |
| 15 | 2018 | 28 | |
| 16 | 2017 | 25 | |
| 17 | 2008 | 21 | |
| 18 | 2006 | 20 | |
| 19 | 2006 | 19 | |
| 20 | 2011 | 16 |
About Minho Won
Minho Won is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Immunology and Genetics, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (9 papers), NF-κB Signaling Pathways (7 papers), Ubiquitin and proteasome pathways (5 papers), RNA Research and Splicing (4 papers), CRISPR and Genetic Engineering (4 papers), Developmental Biology and Gene Regulation (3 papers), Epigenetics and DNA Methylation (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Cancer Research (205 citations), Geriatrics and Gerontology (33 citations), Immunology (187 citations), Molecular Biology (630 citations) and Toxicology (23 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, Cell Death and Differentiation, Oncogene, Experimental & Molecular Medicine and Biochemical and Biophysical Research Communications.
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.