Suk-Won Jin
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
Papers in
-
- Angiogenesis and VEGF in Cancer 6
- Congenital heart defects research 5
- TGF-β signaling in diseases 4
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 1
- Oncology 3
- Lymphatic System and Diseases 3
- Co-authors
- Ronald Ellis (2 shared papers)Jun‐Dae Kim (10 shared papers)Soochin Cho (1 shared paper)Cam Patterson (3 shared papers)Judith Kimble (1 shared paper)Yibing Qyang (3 shared papers)Anne Eichmann (4 shared papers)Ondine Cleaver (2 shared papers)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (4 papers)Circulation Research (3 papers)Nature Communications (1 paper)Biochemical and Biophysical Research Communications (1 paper)Developmental Cell (1 paper)
- Partner nations
- United StatesSouth KoreaBrazil
In The Last Decade
Suk-Won Jin
18 papers receiving 732 citations
Peers
Comparison fields: 5 of 83
- Aging 120
- Cell Biology 106
- Molecular Biology 425
- Cancer Research 75
- Oncology 103
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
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 142 | |
| 2 | 2016 | 80 | |
| 3 | 2013 | 78 | |
| 4 | 2001 | 63 | |
| 5 | 2012 | 58 | |
| 6 | 2012 | 52 | |
| 7 | 2013 | 52 | |
| 8 | 2008 | 46 | |
| 9 | 2013 | 42 | |
| 10 | 2017 | 35 | |
| 11 | 2014 | 26 | |
| 12 | 2022 | 18 | |
| 13 | 2014 | 16 | |
| 14 | 2014 | 9 | |
| 15 | 2008 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2020 | 5 | |
| 18 | 2024 | 3 |
About Suk-Won Jin
Suk-Won Jin is a scholar working on Molecular Biology, Oncology, Cell Biology, Hematology and Pharmacology, having authored 18 papers that have together received 740 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (6 papers), Congenital heart defects research (5 papers), TGF-β signaling in diseases (4 papers), Lymphatic System and Diseases (3 papers), Zebrafish Biomedical Research Applications (3 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), RNA Research and Splicing (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Aging (120 citations), Cell Biology (106 citations), Molecular Biology (425 citations), Cancer Research (75 citations) and Oncology (103 citations). Suk-Won Jin has collaborated with scholars based in United States, South Korea and Brazil. Frequent co-authors include Ronald Ellis, Jun‐Dae Kim, Soochin Cho, Cam Patterson, Judith Kimble, Yibing Qyang, Anne Eichmann, Ondine Cleaver, William P. Dunworth and Stryder M. Meadows. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Circulation Research, Nature Communications, Biochemical and Biophysical Research Communications and Developmental Cell.
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.