Ki‐Sun Kwon
Impact in
- Aging top 2%
- Biochemistry top 2%
- Sulfur Compounds in Biology
Papers in
-
- Muscle Physiology and Disorders 11
- Redox biology and oxidative stress 7
- Ubiquitin and proteasome pathways 5
- Heat shock proteins research 5
- Physiology 18
- Adipose Tissue and Metabolism 9
- Co-authors
- Sue Goo Rhee (5 shared papers)Chae Young Hwang (14 shared papers)Hae Won Yoon (2 shared papers)Ching‐Shih Chen (1 shared paper)Seung‐Ryul Kim (1 shared paper)Yun Soo Bae (1 shared paper)Sung Sup Park (9 shared papers)Cheolju Lee (4 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)PLoS ONE (4 papers)Oncotarget (3 papers)Biochemical and Biophysical Research Communications (3 papers)The FASEB Journal (2 papers)
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Ki‐Sun Kwon
77 papers receiving 3.7k citations
Ki‐Sun Kwon's Hit Papers
Peers
Comparison fields: 5 of 118
- Aging 90
- Biochemistry 266
- Molecular Biology 2.5k
- Immunology 651
- Physiology 595
Countries citing papers authored by Ki‐Sun Kwon
This map shows the geographic impact of Ki‐Sun 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 Ki‐Sun Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ki‐Sun Kwon more than expected).
Fields of papers citing papers by Ki‐Sun Kwon
This network shows the impact of papers produced by Ki‐Sun 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 Ki‐Sun Kwon. The network helps show where Ki‐Sun Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Ki‐Sun 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Reversible Inactivation of Protein-tyrosine Phosphatase 1B in A431 Cells Stimulated with Epidermal Growth Factor Hit paper breakdown → | 1998 | 817 |
| 2 | 1998 | 287 | |
| 3 | 2000 | 236 | |
| 4 | 1999 | 228 | |
| 5 | 2008 | 149 | |
| 6 | 2019 | 124 | |
| 7 | 2005 | 123 | |
| 8 | 2020 | 97 | |
| 9 | 2015 | 89 | |
| 10 | 1998 | 80 | |
| 11 | 2009 | 68 | |
| 12 | 2004 | 64 | |
| 13 | 1994 | 61 | |
| 14 | 2020 | 59 | |
| 15 | 2012 | 58 | |
| 16 | 2011 | 56 | |
| 17 | 2010 | 55 | |
| 18 | 2005 | 50 | |
| 19 | 1995 | 47 | |
| 20 | 2019 | 46 |
About Ki‐Sun Kwon
Ki‐Sun Kwon is a scholar working on Molecular Biology, Physiology, Immunology, Cell Biology and Oncology, having authored 77 papers that have together received 3.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (11 papers), Adipose Tissue and Metabolism (9 papers), Redox biology and oxidative stress (7 papers), Ubiquitin and proteasome pathways (5 papers), Muscle metabolism and nutrition (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Heat shock proteins research (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Aging (90 citations), Biochemistry (266 citations), Molecular Biology (2.5k citations), Immunology (651 citations) and Physiology (595 citations). Ki‐Sun Kwon has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Sue Goo Rhee, Chae Young Hwang, Hae Won Yoon, Ching‐Shih Chen, Seung‐Ryul Kim, Yun Soo Bae, Sung Sup Park, Cheolju Lee, Kwang‐Pyo Lee and Seung-Min Lee. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Oncotarget, Biochemical and Biophysical Research Communications and The FASEB Journal.
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.