Ki‐Sun Kwon

76 papers receiving 3.6k citations

Hit Papers

Reversible Inactivation of Protein-tyrosine Phosphatase 1B in A431 Cells Stimulated with Epidermal Growth Factor 1998 · 815 citations
8151998202620072016250500750

Peers

Ki‐Sun Kwon
Comparison fields: 5 of 120
  • Aging 90
  • Biochemistry 283
  • Molecular Biology 2.5k
  • Immunology 683
  • Physiology 651
Replace Zu-Xi Yu with:
Zu-Xi Yu United States
James F. Tobin United States
Weiqin Lu United States
Elizabeth C. Ledgerwood New Zealand
Piers R. J. Gaffney United Kingdom
Donald S. Backos United States
Ronald L. Magolda United States
Yong Tae Kwon South Korea
Guangchao Sui United States
Jongsun Park South Korea
Ki‐Sun Kwon relative to Zu-Xi Yu United States Zu-Xi Yu's profile →
Citations per field
00.5×
Zu-Xi Yu · 1×
Citations per year

Countries citing papers authored by Ki‐Sun Kwon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Ki‐Sun Kwon Line = papers co-authored together Ki‐Sun Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 202323
4 20231
5 20217
6 20214
7 202035
8 202093
9 201416
10 201337
11 201218
12 201214
13 201256
14 201212
15 201012
16 200929
17 200514
18
Reversible Inactivation of Protein-tyrosine Phosphatase 1B in A431 Cells Stimulated with Epidermal Growth Factor
Hit paper breakdown →
1998815
19 1998287
20 199547

About Ki‐Sun Kwon

Ki‐Sun Kwon is a scholar working on Aging, Geriatrics and Gerontology, Molecular Biology, Physiology and Cell Biology, 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), MicroRNA in disease regulation (6 papers), RNA Research and Splicing (6 papers), Muscle metabolism and nutrition (5 papers), Ubiquitin and proteasome pathways (5 papers) and Nutrition and Health in Aging (5 papers). The work is most often cited by research in Aging (90 citations), Biochemistry (283 citations), Molecular Biology (2.5k citations), Immunology (683 citations) and Physiology (651 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, Yun Soo Bae, Seung‐Ryul Kim, Ching‐Shih Chen, Lewis C. Cantley, Cheolju Lee, Kwang‐Pyo Lee and Sung Sup Park. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Oncotarget, Biochemical and Biophysical Research Communications and Nature 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.

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