Youngdae Gwon

1.2k total citations · 1 hit paper
19 papers, 837 citations indexed

About

Youngdae Gwon is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Youngdae Gwon has authored 19 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Physiology and 4 papers in Cell Biology. Recurrent topics in Youngdae Gwon's work include Alzheimer's disease research and treatments (6 papers), RNA modifications and cancer (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Youngdae Gwon is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), RNA modifications and cancer (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Youngdae Gwon collaborates with scholars based in South Korea, United States and Puerto Rico. Youngdae Gwon's co-authors include J. Paul Taylor, Hong Joo Kim, Brian A. Maxwell, Yong‐Keun Jung, Tae‐In Kam, Peipei Zhang, Regina‐Maria Kolaitis, Junmin Peng, Ashutosh Mishra and Hyejin Park and has published in prestigious journals such as Science, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Youngdae Gwon

16 papers receiving 830 citations

Hit Papers

Ubiquitination of G3BP1 mediates stress granule disassemb... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Youngdae Gwon South Korea 12 546 221 183 110 84 19 837
Sungmin Song South Korea 18 687 1.3× 271 1.2× 281 1.5× 119 1.1× 130 1.5× 22 1.0k
Lara Wahlster United States 12 388 0.7× 190 0.9× 160 0.9× 137 1.2× 163 1.9× 20 761
Sarah van Veen Belgium 11 369 0.7× 165 0.7× 145 0.8× 123 1.1× 62 0.7× 13 647
Courtney L. Klaips Germany 7 561 1.0× 165 0.7× 225 1.2× 86 0.8× 78 0.9× 7 784
Jose F. Moruno-Manchon United States 16 539 1.0× 180 0.8× 106 0.6× 207 1.9× 49 0.6× 26 896
Delfina Larrea United States 12 399 0.7× 277 1.3× 109 0.6× 53 0.5× 84 1.0× 18 643
Mattia Vicario Italy 11 408 0.7× 169 0.8× 124 0.7× 90 0.8× 128 1.5× 18 623
Parvathi Rudrabhatla United States 18 513 0.9× 199 0.9× 192 1.0× 41 0.4× 137 1.6× 22 918
Daniel J. Colacurcio United States 5 324 0.6× 237 1.1× 143 0.8× 191 1.7× 55 0.7× 7 657
Helma van den Hurk Netherlands 12 569 1.0× 212 1.0× 257 1.4× 101 0.9× 95 1.1× 18 791

Countries citing papers authored by Youngdae Gwon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Youngdae Gwon

This figure shows the co-authorship network connecting the top 25 collaborators of Youngdae Gwon. A scholar is included among the top collaborators of Youngdae Gwon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Youngdae Gwon. Youngdae Gwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Kim, Seong Hyun, Yong Hwan Kim, Joon Bum Kim, et al.. (2025). Suppression of stress granule assembly by pyridoxal hydrochloride attenuates oxidative damage in skin fibroblasts. Bioorganic & Medicinal Chemistry Letters. 123. 130238–130238.
2.
Lee, Joongku, et al.. (2025). Imbalanced chromatin distribution in cellular senescence specifies paraspeckle dynamics. Genome biology. 26(1). 264–264.
3.
Shrestha, Prakash, Shiva Pathak, Shobha Regmi, et al.. (2024). Catechol-modified stabilizer facilitates impulsive ligand functionalization of particulates and membrane modification of cells. Journal of Drug Delivery Science and Technology. 101. 106161–106161.
4.
Duwa, Ramesh, Lyndon D. Bastatas, Youngdae Gwon, et al.. (2024). Strengthened binding affinity of bispecific antibody nanoplatforms improved the anti-tumor efficacy. Chemical Engineering Journal. 494. 153128–153128. 1 indexed citations
5.
6.
Gwon, Youngdae, et al.. (2023). Neuronal biomolecular condensates and their implications in neurodegenerative diseases. Frontiers in Aging Neuroscience. 15. 1145420–1145420. 9 indexed citations
7.
Kim, Seohyun, Jisu Park, Seungmin Yoo, et al.. (2023). Endolysosomal impairment by binding of amyloid beta or MAPT/Tau to V-ATPase and rescue via the HYAL-CD44 axis in Alzheimer disease. Autophagy. 19(8). 2318–2337. 23 indexed citations
8.
Gwon, Youngdae, Brian A. Maxwell, Regina‐Maria Kolaitis, et al.. (2021). Ubiquitination of G3BP1 mediates stress granule disassembly in a context-specific manner. Science. 372(6549). eabf6548–eabf6548. 209 indexed citations breakdown →
9.
Maxwell, Brian A., Youngdae Gwon, Ashutosh Mishra, et al.. (2021). Ubiquitination is essential for recovery of cellular activities after heat shock. Science. 372(6549). eabc3593–eabc3593. 132 indexed citations
10.
Park, Jisu, Hyunwoo Choi, Youngdae Gwon, et al.. (2021). Aberrant role of ALK in tau proteinopathy through autophagosomal dysregulation. Molecular Psychiatry. 26(10). 5542–5556. 11 indexed citations
11.
Jung, Sunmin, Jihoon Nah, Jonghee Han, et al.. (2020). SERP1 is an assembly regulator of γ-secretase in metabolic stress conditions. Science Signaling. 13(623). 11 indexed citations
12.
Gwon, Youngdae, Jae Gyun Oh, Changwon Kho, et al.. (2019). Cardioprotective role of APIP in myocardial infarction through ADORA2B. Cell Death and Disease. 10(7). 511–511. 10 indexed citations
13.
Wang, Bo, Brian A. Maxwell, Joung Hyuck Joo, et al.. (2019). ULK1 and ULK2 Regulate Stress Granule Disassembly Through Phosphorylation and Activation of VCP/p97. Molecular Cell. 74(4). 742–757.e8. 135 indexed citations
14.
Gwon, Youngdae, Tae‐In Kam, Sungmin Song, et al.. (2018). TOM1 Regulates Neuronal Accumulation of Amyloid-β Oligomers by FcγRIIb2 Variant in Alzheimer's Disease. Journal of Neuroscience. 38(42). 9001–9018. 24 indexed citations
15.
Gwon, Youngdae, Hyun Tae Kim, Tae‐In Kam, et al.. (2018). Amelioration of amyloid β‐FcγRIIb neurotoxicity and tau pathologies by targeting LYN. The FASEB Journal. 33(3). 4300–4313. 11 indexed citations
16.
Kam, Tae‐In, Hyejin Park, Youngdae Gwon, et al.. (2016). FcγRIIb-SHIP2 axis links Aβ to tau pathology by disrupting phosphoinositide metabolism in Alzheimer's disease model. eLife. 5. 37 indexed citations
17.
Kam, Tae‐In, Youngdae Gwon, & Yong‐Keun Jung. (2014). Amyloid beta receptors responsible for neurotoxicity and cellular defects in Alzheimer’s disease. Cellular and Molecular Life Sciences. 71(24). 4803–4813. 47 indexed citations
18.
Kam, Tae‐In, Sungmin Song, Youngdae Gwon, et al.. (2013). FcγRIIb mediates amyloid-β neurotoxicity and memory impairment in Alzheimer’s disease. Journal of Clinical Investigation. 123(7). 2791–2802. 102 indexed citations
19.
Park, Hyejin, Tae‐In Kam, Young-Doo Kim, et al.. (2012). Neuropathogenic role of adenylate kinase-1 in Aβ-mediated tau phosphorylation via AMPK and GSK3β. Human Molecular Genetics. 21(12). 2725–2737. 71 indexed citations

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.

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