Suk‐Won Jin
Impact in
- Cell Biology top 1%
- Zebrafish Biomedical Research Applications
- Aging top 5%
Papers in
-
- Angiogenesis and VEGF in Cancer 10
- Congenital heart defects research 8
- Kruppel-like factors research 4
- Developmental Biology and Gene Regulation 3
- TGF-β signaling in diseases 3
- Connective Tissue Growth Factor Research 3
- Cell Biology 17
- Zebrafish Biomedical Research Applications 16
- Co-authors
- Didier Y. R. Stainier (12 shared papers)Dimitris Beis (4 shared papers)Jau‐Nian Chen (2 shared papers)Tracy Mitchell (2 shared papers)Kevin M. Vogeli (2 shared papers)Gail R. Martin (1 shared paper)Elke A. Ober (4 shared papers)Heather Verkade (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Frontiers in Cell and Developmental Biology (2 papers)Genetics (2 papers)The FASEB Journal (2 papers)Development (2 papers)
- Partner nations
- United StatesSouth KoreaFrance
In The Last Decade
Suk‐Won Jin
32 papers receiving 2.8k citations
Suk‐Won Jin's Hit Papers
Peers
Comparison fields: 5 of 117
- Cell Biology 1.0k
- Aging 77
- Molecular Biology 1.8k
- Cancer Research 276
- Cellular and Molecular Neuroscience 242
Countries citing papers authored by Suk‐Won Jin
This map shows the geographic impact of Suk‐Won Jin'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 Suk‐Won Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suk‐Won Jin more than expected).
Fields of papers citing papers by Suk‐Won Jin
This network shows the impact of papers produced by Suk‐Won Jin. 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 Suk‐Won Jin. The network helps show where Suk‐Won Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Suk‐Won Jin, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cellular and molecular analyses of vascular tube and lumen formation in zebrafish Hit paper breakdown → | 2005 | 685 |
| 2 | 2004 | 317 | |
| 3 | 2005 | 296 | |
| 4 | 2006 | 243 | |
| 5 | 2007 | 150 | |
| 6 | 2008 | 139 | |
| 7 | 2013 | 130 | |
| 8 | 2021 | 120 | |
| 9 | 2007 | 110 | |
| 10 | 2004 | 95 | |
| 11 | 2011 | 90 | |
| 12 | 2022 | 64 | |
| 13 | 2001 | 53 | |
| 14 | 2005 | 51 | |
| 15 | 2016 | 39 | |
| 16 | 2001 | 32 | |
| 17 | 2011 | 30 | |
| 18 | 2009 | 26 | |
| 19 | 2001 | 25 | |
| 20 | 2021 | 25 |
About Suk‐Won Jin
Suk‐Won Jin is a scholar working on Molecular Biology, Cell Biology, Endocrinology, Diabetes and Metabolism, Cancer Research and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 2.8k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (16 papers), Angiogenesis and VEGF in Cancer (10 papers), Congenital heart defects research (8 papers), Kruppel-like factors research (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Developmental Biology and Gene Regulation (3 papers), TGF-β signaling in diseases (3 papers) and Connective Tissue Growth Factor Research (3 papers). The work is most often cited by research in Cell Biology (1.0k citations), Aging (77 citations), Molecular Biology (1.8k citations), Cancer Research (276 citations) and Cellular and Molecular Neuroscience (242 citations). Suk‐Won Jin has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Didier Y. R. Stainier, Dimitris Beis, Jau‐Nian Chen, Tracy Mitchell, Kevin M. Vogeli, Gail R. Martin, Elke A. Ober, Heather Verkade, Leonard D’Amico and Ian C. Scott. Their work appears in journals such as Biochemical and Biophysical Research Communications, Frontiers in Cell and Developmental Biology, Genetics, The FASEB Journal and Development.
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.