Youngdae Gwon
Impact in
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- RNA Research and Splicing 3
- RNA modifications and cancer 3
- Ubiquitin and proteasome pathways 2
- Glycosylation and Glycoproteins Research 2
-
- Alzheimer's disease research and treatments 6
- Co-authors
- Hong Joo Kim (3 shared papers)Brian A. Maxwell (3 shared papers)J. Paul Taylor (3 shared papers)Yong‐Keun Jung (10 shared papers)Tae‐In Kam (7 shared papers)Peipei Zhang (1 shared paper)Regina‐Maria Kolaitis (1 shared paper)Junmin Peng (2 shared papers)
- Journals
- Science (2 papers)Molecular Cell (1 paper)Human Molecular Genetics (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Redox Biology (1 paper)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Youngdae Gwon
16 papers receiving 887 citations
Youngdae Gwon's Hit Papers
Peers
Comparison fields: 5 of 82
- Cell Biology 182
- Aging 18
- Physiology 218
- Neurology 70
- Molecular Biology 548
Countries citing papers authored by Youngdae Gwon
This map shows the geographic impact of Youngdae Gwon'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 Youngdae Gwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngdae Gwon more than expected).
Fields of papers citing papers by Youngdae Gwon
This network shows the impact of papers produced by Youngdae Gwon. 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 Youngdae Gwon. The network helps show where Youngdae Gwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Youngdae Gwon, 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 | Ubiquitination of G3BP1 mediates stress granule disassembly in a context-specific manner Hit paper breakdown → | 2021 | 221 |
| 2 | 2021 | 142 | |
| 3 | 2019 | 137 | |
| 4 | 2013 | 108 | |
| 5 | 2012 | 74 | |
| 6 | 2014 | 48 | |
| 7 | 2016 | 38 | |
| 8 | 2023 | 29 | |
| 9 | 2018 | 25 | |
| 10 | 2021 | 17 | |
| 11 | 2018 | 13 | |
| 12 | 2023 | 12 | |
| 13 | 2019 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Youngdae Gwon
Youngdae Gwon is a scholar working on Molecular Biology, Physiology, Cell Biology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 19 papers that have together received 894 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers), Ubiquitin and proteasome pathways (2 papers), Glycosylation and Glycoproteins Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Cell Biology (182 citations), Aging (18 citations), Physiology (218 citations), Neurology (70 citations) and Molecular Biology (548 citations). Youngdae Gwon has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Hong Joo Kim, Brian A. Maxwell, J. Paul Taylor, Yong‐Keun Jung, Tae‐In Kam, Peipei Zhang, Regina‐Maria Kolaitis, Junmin Peng, Ashutosh Mishra and Hyejin Park. Their work appears in journals such as Science, Molecular Cell, Human Molecular Genetics, Bioorganic & Medicinal Chemistry Letters and Redox 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.