Young‐Ki Bae
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 1%
- Zebrafish Biomedical Research Applications
Papers in
-
- Neurogenesis and neuroplasticity mechanisms 10
- Cell Biology 23
- Zebrafish Biomedical Research Applications 16
- Microtubule and mitosis dynamics 4
- Hippo pathway signaling and YAP/TAZ 4
- Co-authors
- Masahiko HibiTakashi ShimizuOsamu MuraokaHideaki NojimaTaijiro YabeShuichi KaniCheol‐Hee KimKoji Tanabe
- Journals
- Development (6 papers)Molecules and Cells (4 papers)Developmental Biology (4 papers)Mechanisms of Development (4 papers)Journal of Neuroscience (2 papers)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Young‐Ki Bae
42 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 104
- Developmental Neuroscience 306
- Cell Biology 835
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 325
- Cancer Research 262
Countries citing papers authored by Young‐Ki Bae
This map shows the geographic impact of Young‐Ki Bae'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 Young‐Ki Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young‐Ki Bae more than expected).
Fields of papers citing papers by Young‐Ki Bae
This network shows the impact of papers produced by Young‐Ki Bae. 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 Young‐Ki Bae. The network helps show where Young‐Ki Bae may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Young‐Ki Bae, 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 | 2020 | 17 | |
| 2 | 2019 | 30 | |
| 3 | 2017 | 4 | |
| 4 | 2016 | 10 | |
| 5 | 2016 | 73 | |
| 6 | 2013 | 23 | |
| 7 | 2012 | 27 | |
| 8 | 2010 | 64 | |
| 9 | 2010 | 105 | |
| 10 | 2010 | 57 | |
| 11 | 2010 | 10 | |
| 12 | 2009 | 209 | |
| 13 | 2006 | 85 | |
| 14 | 2005 | 122 | |
| 15 | 2005 | 172 | |
| 16 | 2004 | 50 | |
| 17 | 2004 | 18 | |
| 18 | 2000 | 103 | |
| 19 | 2000 | 62 | |
| 20 | Enzymatic hydrolysis of crystalline chitin in an agitated bead reaction system and its reaction characteristics. | 1996 | 3 |
About Young‐Ki Bae
Young‐Ki Bae is a scholar working on Developmental Neuroscience, Cell Biology, Molecular Biology, Cancer Research and Geriatrics and Gerontology, having authored 42 papers that have together received 2.3k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (16 papers), Developmental Biology and Gene Regulation (15 papers), Neurogenesis and neuroplasticity mechanisms (10 papers), Congenital heart defects research (9 papers), Wnt/β-catenin signaling in development and cancer (7 papers), MicroRNA in disease regulation (6 papers), Microtubule and mitosis dynamics (4 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). The work is most often cited by research in Developmental Neuroscience (306 citations), Cell Biology (835 citations), Molecular Biology (1.6k citations), Cellular and Molecular Neuroscience (325 citations) and Cancer Research (262 citations). Young‐Ki Bae has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Masahiko Hibi, Takashi Shimizu, Osamu Muraoka, Hideaki Nojima, Taijiro Yabe, Shuichi Kani, Cheol‐Hee Kim, Koji Tanabe, Toshio Hirano and Tsutomu Hirata. Their work appears in journals such as Development, Molecules and Cells, Developmental Biology, Mechanisms of Development and Journal of Neuroscience.
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.