Jin‐Sook Kwon
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Surgery 13
- Tissue Engineering and Regenerative Medicine 8
- Cardiac Structural Anomalies and Repair 4
- Co-authors
- Youngkeun Ahn (22 shared papers)Yong Sook Kim (13 shared papers)Myung Ho Jeong (11 shared papers)Hae Jin Kee (7 shared papers)Hyun Kook (6 shared papers)Jeong Gwan Cho (6 shared papers)Myeong‐Chan Cho (11 shared papers)Jung Chaee Kang (5 shared papers)
- Journals
- Atherosclerosis (5 papers)Journal of Molecular and Cellular Cardiology (2 papers)Vascular Pharmacology (2 papers)Toxics (2 papers)Molecular Therapy (2 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Jin‐Sook Kwon
50 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 108
- Genetics 178
- Biomaterials 213
- Cancer Research 236
- Molecular Medicine 53
- Molecular Biology 619
Countries citing papers authored by Jin‐Sook Kwon
This map shows the geographic impact of Jin‐Sook 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 Jin‐Sook Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Sook Kwon more than expected).
Fields of papers citing papers by Jin‐Sook Kwon
This network shows the impact of papers produced by Jin‐Sook 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 Jin‐Sook Kwon. The network helps show where Jin‐Sook Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin‐Sook 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 97 | |
| 2 | 2010 | 75 | |
| 3 | 2013 | 74 | |
| 4 | 2011 | 68 | |
| 5 | 2005 | 65 | |
| 6 | 2012 | 61 | |
| 7 | 2011 | 48 | |
| 8 | 2012 | 48 | |
| 9 | 2014 | 47 | |
| 10 | 2007 | 47 | |
| 11 | 2015 | 45 | |
| 12 | 2011 | 44 | |
| 13 | 2014 | 40 | |
| 14 | 2013 | 38 | |
| 15 | 2011 | 35 | |
| 16 | 2008 | 34 | |
| 17 | 2011 | 31 | |
| 18 | 2016 | 30 | |
| 19 | 2010 | 28 | |
| 20 | 2004 | 28 |
About Jin‐Sook Kwon
Jin‐Sook Kwon is a scholar working on Molecular Biology, Surgery, Cancer Research, Cardiology and Cardiovascular Medicine and Biomaterials, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (8 papers), Mesenchymal stem cell research (6 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), MicroRNA in disease regulation (5 papers), Cardiac Structural Anomalies and Repair (4 papers), Cardiac Fibrosis and Remodeling (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Genetics (178 citations), Biomaterials (213 citations), Cancer Research (236 citations), Molecular Medicine (53 citations) and Molecular Biology (619 citations). Jin‐Sook Kwon has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Youngkeun Ahn, Yong Sook Kim, Myung Ho Jeong, Hae Jin Kee, Hyun Kook, Jeong Gwan Cho, Myeong‐Chan Cho, Jung Chaee Kang, Dong Woon Kim and Myung Ho Jeong. Their work appears in journals such as Atherosclerosis, Journal of Molecular and Cellular Cardiology, Vascular Pharmacology, Toxics and Molecular Therapy.
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.