Dae Seok Eom
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- melanin and skin pigmentation
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
-
- Neurobiology and Insect Physiology Research
Papers in
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- Developmental Biology and Gene Regulation 8
- Cell death mechanisms and regulation 3
- TGF-β signaling in diseases 2
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- Neuroscience and Neuropharmacology Research 4
- Neurobiology and Insect Physiology Research 2
- Co-authors
- David M. Parichy (5 shared papers)Larissa B. Patterson (4 shared papers)Emily J. Bain (2 shared papers)Young J. Oh (4 shared papers)Seema Agarwala (5 shared papers)Baek‐Soo Han (2 shared papers)Tae Hwan Oh (2 shared papers)Byung Hee Han (1 shared paper)
- Journals
- Science (2 papers)eLife (2 papers)Developmental Dynamics (2 papers)Birth Defects Research Part A Clinical and Molecular Teratology (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Dae Seok Eom
18 papers receiving 786 citations
Peers
Comparison fields: 5 of 101
- Cell Biology 241
- Cellular and Molecular Neuroscience 148
- Developmental Neuroscience 33
- Physiology 30
- Molecular Biology 442
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 | 197 | |
| 2 | 2014 | 165 | |
| 3 | 2015 | 83 | |
| 4 | 2017 | 77 | |
| 5 | 2012 | 66 | |
| 6 | 2011 | 57 | |
| 7 | 2005 | 26 | |
| 8 | 2012 | 24 | |
| 9 | 2021 | 22 | |
| 10 | 2003 | 22 | |
| 11 | 2012 | 20 | |
| 12 | 2020 | 10 | |
| 13 | 2012 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2001 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2012 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Dae Seok Eom
Dae Seok Eom is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Immunology and Allergy and Neurology, having authored 20 papers that have together received 793 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (8 papers), Neuroscience and Neuropharmacology Research (4 papers), Cell Adhesion Molecules Research (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Zebrafish Biomedical Research Applications (3 papers), Cell death mechanisms and regulation (3 papers), TGF-β signaling in diseases (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Cell Biology (241 citations), Cellular and Molecular Neuroscience (148 citations), Developmental Neuroscience (33 citations), Physiology (30 citations) and Molecular Biology (442 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 J. Oh, Seema Agarwala, Baek‐Soo Han, Tae Hwan Oh, Byung Hee Han, Jennifer L. Fogel and George J. Markelonis. Their work appears in journals such as Science, eLife, Developmental Dynamics, Birth Defects Research Part A Clinical and Molecular Teratology and Frontiers in Cell and Developmental Biology.
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.