Taesun Eom
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA regulation and disease
Papers in
-
- RNA Research and Splicing 9
- RNA and protein synthesis mechanisms 5
- RNA regulation and disease 3
- CRISPR and Genetic Engineering 2
-
- Cellular Mechanics and Interactions 3
- Co-authors
- Gary J. Bassell (3 shared papers)Robert H. Singer (3 shared papers)Laura N. Antar (2 shared papers)Yuri Oleynikov (1 shared paper)Shailesh M. Shenoy (1 shared paper)David A. Liebelt (1 shared paper)Jason B. Dictenberg (1 shared paper)John J. Fak (2 shared papers)
- Journals
- Journal of Neuroscience (2 papers)The Journal of Cell Biology (1 paper)Science (1 paper)Learning & Memory (1 paper)eLife (1 paper)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Taesun Eom
11 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 57
- Developmental Neuroscience 70
- Molecular Biology 938
- Cellular and Molecular Neuroscience 217
- Cancer Research 130
- Genetics 67
Countries citing papers authored by Taesun Eom
This map shows the geographic impact of Taesun 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 Taesun Eom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taesun Eom more than expected).
Fields of papers citing papers by Taesun Eom
This network shows the impact of papers produced by Taesun 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 Taesun Eom. The network helps show where Taesun Eom may publish in the future.
Co-authors
The 25 scholars most cited alongside Taesun 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 | 2001 | 332 | |
| 2 | 2010 | 225 | |
| 3 | 2003 | 161 | |
| 4 | 2003 | 158 | |
| 5 | 2013 | 85 | |
| 6 | 2014 | 47 | |
| 7 | 2011 | 35 | |
| 8 | 2019 | 16 | |
| 9 | 2017 | 9 | |
| 10 | 2018 | 5 | |
| 11 | 2025 | 2 |
About Taesun Eom
Taesun Eom is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Rheumatology, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (5 papers), RNA regulation and disease (3 papers), Cellular Mechanics and Interactions (3 papers), CRISPR and Genetic Engineering (2 papers), Gas Sensing Nanomaterials and Sensors (1 paper), Nerve injury and regeneration (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Developmental Neuroscience (70 citations), Molecular Biology (938 citations), Cellular and Molecular Neuroscience (217 citations), Cancer Research (130 citations) and Genetics (67 citations). Taesun Eom has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Gary J. Bassell, Robert H. Singer, Laura N. Antar, Yuri Oleynikov, Shailesh M. Shenoy, David A. Liebelt, Jason B. Dictenberg, John J. Fak, Chaolin Zhang and Robert B. Darnell. Their work appears in journals such as Journal of Neuroscience, The Journal of Cell Biology, Science, Learning & Memory and eLife.
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.