Dae Seok Eom
Impact in
- Cell Biology top 5%
- melanin and skin pigmentation
- Zebrafish Biomedical Research Applications
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
Papers in
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- Hippo pathway signaling and YAP/TAZ 3
- Zebrafish Biomedical Research Applications 3
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- Neuroscience and Neuropharmacology Research 4
- Co-authors
- David M. Parichy (4 shared papers)Larissa B. Patterson (4 shared papers)Emily J. Bain (2 shared papers)Young Joon Oh (4 shared papers)Seema Agarwala (4 shared papers)Jennifer L. Fogel (2 shared papers)Won K. Kim (1 shared paper)Eui-Ju Choi (1 shared paper)
- Journals
- eLife (2 papers)Science (2 papers)Developmental Dynamics (2 papers)Developmental Biology (1 paper)Birth Defects Research Part A Clinical and Molecular Teratology (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Dae Seok Eom
20 papers receiving 846 citations
Peers
Comparison fields: 5 of 101
- Cell Biology 263
- Developmental Neuroscience 33
- Cellular and Molecular Neuroscience 145
- Molecular Biology 448
- Physiology 29
Countries citing papers authored by Dae Seok Eom
This map shows the geographic impact of Dae Seok Eom'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 Dae Seok Eom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae Seok Eom more than expected).
Fields of papers citing papers by Dae Seok Eom
This network shows the impact of papers produced by Dae Seok Eom. 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 Dae Seok Eom. The network helps show where Dae Seok Eom may publish in the future.
Co-authors
The 25 scholars most cited alongside Dae Seok Eom, 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 | 200 | |
| 2 | 2014 | 182 | |
| 3 | 2015 | 97 | |
| 4 | 2017 | 85 | |
| 5 | 2012 | 72 | |
| 6 | 2011 | 57 | |
| 7 | 2012 | 26 | |
| 8 | 2005 | 25 | |
| 9 | 2012 | 24 | |
| 10 | 2003 | 22 | |
| 11 | 2021 | 21 | |
| 12 | 2020 | 11 | |
| 13 | 2012 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2001 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2024 | 1 |
About Dae Seok Eom
Dae Seok Eom is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Immunology and Allergy, Neurology and Molecular Biology, having authored 20 papers that have together received 853 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Cell death mechanisms and regulation (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Cell Adhesion Molecules Research (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Zebrafish Biomedical Research Applications (3 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Cell Biology (263 citations), Developmental Neuroscience (33 citations), Cellular and Molecular Neuroscience (145 citations), Molecular Biology (448 citations) and Physiology (29 citations). Dae Seok Eom has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include David M. Parichy, Larissa B. Patterson, Emily J. Bain, Young Joon Oh, Seema Agarwala, Jennifer L. Fogel, Won K. Kim, Eui-Ju Choi, Baek‐Soo Han and Byung Hee Han. Their work appears in journals such as eLife, Science, Developmental Dynamics, Developmental Biology and Birth Defects Research Part A Clinical and Molecular Teratology.
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.