Taesun Eom
Impact in
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- Neuroscience and Neuropharmacology Research
- Axon Guidance and Neuronal Signaling
- Nerve injury and regeneration
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
Papers in
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- Neuroscience and Neuropharmacology Research 2
- Axon Guidance and Neuronal Signaling 1
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- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 3
- RNA Interference and Gene Delivery 1
- Epigenetics and DNA Methylation 1
- Co-authors
- Robert H. Singer (2 shared papers)Gary Jonathan Bassell (2 shared papers)Laura N. Antar (1 shared paper)Jason B. Dictenberg (1 shared paper)Shailesh M. Shenoy (1 shared paper)David A. Liebelt (1 shared paper)Huidong Wang (2 shared papers)Chaolin Zhang (2 shared papers)
- Journals
- Journal of Neuroscience (2 papers)The Journal of Cell Biology (1 paper)Nature Medicine (1 paper)eLife (1 paper)Neuron (1 paper)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Taesun Eom
10 papers receiving 983 citations
Taesun Eom's Hit Papers
Peers
Comparison fields: 5 of 44
- Cellular and Molecular Neuroscience 229
- Molecular Biology 685
- Developmental Neuroscience 11
- Genetics 26
- Cancer Research 38
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 | 230 | |
| 3 | 2003 | 172 | |
| 4 | 2013 | 93 | |
| 5 | A potent epigenetic editor targeting human PCSK9 for durable reduction of low-density lipoprotein cholesterol levels Hit paper breakdown → | 2025 | 59 |
| 6 | 2014 | 46 | |
| 7 | 2011 | 36 | |
| 8 | 2019 | 16 | |
| 9 | 2018 | 4 | |
| 10 | 2018 | 4 |
About Taesun Eom
Taesun Eom is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Rheumatology, Genetics and Surgery, having authored 10 papers that have together received 992 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), RNA Interference and Gene Delivery (1 paper), Axon Guidance and Neuronal Signaling (1 paper), Epigenetics and DNA Methylation (1 paper) and Systemic Lupus Erythematosus Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (229 citations), Molecular Biology (685 citations), Developmental Neuroscience (11 citations), Genetics (26 citations) and Cancer Research (38 citations). Taesun Eom has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Robert H. Singer, Gary Jonathan Bassell, Laura N. Antar, Jason B. Dictenberg, Shailesh M. Shenoy, David A. Liebelt, Huidong Wang, Chaolin Zhang, John J. Fak and Robert B. Darnell. Their work appears in journals such as Journal of Neuroscience, The Journal of Cell Biology, Nature Medicine, eLife and Neuron.
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.