Eun‐Soo Kwon
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 6
- Endocrine and Autonomic Systems top 10%
- Physiology top 10%
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- Muscle Physiology and Disorders 5
- Mitochondrial Function and Pathology 4
- Fungal and yeast genetics research 4
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- GDF15 and Related Biomarkers 4
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
- Immune cells in cancer 3
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- Cell Adhesion Molecules Research 3
- Co-authors
- Heidi A. TissenbaumSri Devi NarasimhanKelvin YenKwang‐Pyo LeeJung‐Hye RoeKi‐Sun KwonAnkita BansalJeong Yi Choi
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Experimental & Molecular Medicine (2 papers)Oncotarget (2 papers)
- Partner nations
- South KoreaUnited StatesMexico
In The Last Decade
Eun‐Soo Kwon
29 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Aging 275
- Endocrine and Autonomic Systems 95
- Physiology 233
- Molecular Biology 534
- Cancer Research 115
Countries citing papers authored by Eun‐Soo Kwon
This map shows the geographic impact of Eun‐Soo 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 Eun‐Soo Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun‐Soo Kwon more than expected).
Fields of papers citing papers by Eun‐Soo Kwon
This network shows the impact of papers produced by Eun‐Soo 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 Eun‐Soo Kwon. The network helps show where Eun‐Soo Kwon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eun‐Soo 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 23 | |
| 4 | 2021 | 14 | |
| 5 | 2020 | 35 | |
| 6 | 2019 | 22 | |
| 7 | 2016 | 25 | |
| 8 | 2016 | 28 | |
| 9 | 2016 | 29 | |
| 10 | 2015 | 87 | |
| 11 | 2014 | 42 | |
| 12 | 2014 | 51 | |
| 13 | 2012 | 10 | |
| 14 | 2010 | 156 | |
| 15 | 2008 | 13 | |
| 16 | 2007 | 123 | |
| 17 | 2005 | 9 | |
| 18 | 2002 | 24 | |
| 19 | Isolation and Characterization of the sod 2+ Gene Encoding a Putative Mitochondrial Manganese Superoxide Dismutase in Schizosaccharomyces pombe | 2001 | 1 |
| 20 | 2001 | 43 |
About Eun‐Soo Kwon
Eun‐Soo Kwon is a scholar working on Aging, Immunology and Allergy and Molecular Biology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Muscle Physiology and Disorders (5 papers), Mitochondrial Function and Pathology (4 papers), GDF15 and Related Biomarkers (4 papers), Fungal and yeast genetics research (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Immune cells in cancer (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Aging (275 citations), Endocrine and Autonomic Systems (95 citations) and Physiology (233 citations). Eun‐Soo Kwon has collaborated with scholars based in South Korea, United States and Mexico. Frequent co-authors include Heidi A. Tissenbaum, Sri Devi Narasimhan, Kelvin Yen, Kwang‐Pyo Lee, Jung‐Hye Roe, Ki‐Sun Kwon, Ankita Bansal, Jeong Yi Choi, Gary J. Loake and Jeong‐Gu Kang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Experimental & Molecular Medicine, Oncotarget, Cancer Immunology Research 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.