Jun‐Dae Kim
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
Papers in
-
- Congenital heart defects research 12
- Angiogenesis and VEGF in Cancer 8
- Developmental Biology and Gene Regulation 4
- TGF-β signaling in diseases 3
- Single-cell and spatial transcriptomics 2
- Cell Biology 12
- Zebrafish Biomedical Research Applications 9
- Hippo pathway signaling and YAP/TAZ 4
- Co-authors
- Suk-Won Jin (10 shared papers)Victoria L. Bautch (2 shared papers)Charles C. Hong (1 shared paper)Jijun Hao (1 shared paper)David M. Wiley (1 shared paper)Jongmin Kim (3 shared papers)Hyung J. Chun (2 shared papers)Yujung Kang (2 shared papers)
- Journals
- Molecules and Cells (4 papers)Biochemical and Biophysical Research Communications (4 papers)Nature Communications (3 papers)Frontiers in Cell and Developmental Biology (2 papers)Circulation Research (2 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Jun‐Dae Kim
29 papers receiving 918 citations
Peers
Comparison fields: 5 of 83
- Cell Biology 222
- Cancer Research 136
- Molecular Biology 606
- Pharmacology 115
- Cellular and Molecular Neuroscience 120
Countries citing papers authored by Jun‐Dae Kim
This map shows the geographic impact of Jun‐Dae Kim'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 Jun‐Dae Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Dae Kim more than expected).
Fields of papers citing papers by Jun‐Dae Kim
This network shows the impact of papers produced by Jun‐Dae Kim. 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 Jun‐Dae Kim. The network helps show where Jun‐Dae Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Dae Kim, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 156 | |
| 2 | 2013 | 127 | |
| 3 | 2016 | 80 | |
| 4 | 2013 | 78 | |
| 5 | 2012 | 53 | |
| 6 | 2013 | 51 | |
| 7 | 2015 | 50 | |
| 8 | 2018 | 49 | |
| 9 | 2013 | 40 | |
| 10 | 2014 | 26 | |
| 11 | 2012 | 26 | |
| 12 | 2015 | 25 | |
| 13 | 2023 | 19 | |
| 14 | 2014 | 16 | |
| 15 | 2009 | 15 | |
| 16 | 2012 | 14 | |
| 17 | 2014 | 14 | |
| 18 | 2006 | 13 | |
| 19 | 2021 | 11 | |
| 20 | 2014 | 11 |
About Jun‐Dae Kim
Jun‐Dae Kim is a scholar working on Molecular Biology, Cell Biology, Oncology, Cancer Research and Surgery, having authored 31 papers that have together received 925 indexed citations. Recurring topics across this work include Congenital heart defects research (12 papers), Zebrafish Biomedical Research Applications (9 papers), Angiogenesis and VEGF in Cancer (8 papers), Lymphatic System and Diseases (6 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Developmental Biology and Gene Regulation (4 papers), TGF-β signaling in diseases (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cell Biology (222 citations), Cancer Research (136 citations), Molecular Biology (606 citations), Pharmacology (115 citations) and Cellular and Molecular Neuroscience (120 citations). Jun‐Dae Kim has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Suk-Won Jin, Victoria L. Bautch, Charles C. Hong, Jijun Hao, David M. Wiley, Jongmin Kim, Hyung J. Chun, Yujung Kang, Jingxia Wu and Yibing Qyang. Their work appears in journals such as Molecules and Cells, Biochemical and Biophysical Research Communications, Nature Communications, Frontiers in Cell and Developmental Biology and Circulation Research.
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.