Insup Choi

1.8k total citations · 2 hit papers
21 papers, 1.2k citations indexed

About

Insup Choi is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Insup Choi has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Neurology and 9 papers in Neurology. Recurrent topics in Insup Choi's work include Parkinson's Disease Mechanisms and Treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Autophagy in Disease and Therapy (7 papers). Insup Choi is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Autophagy in Disease and Therapy (7 papers). Insup Choi collaborates with scholars based in United States, South Korea and China. Insup Choi's co-authors include Zhenyu Yue, Bin Zhang, Yuanxi Zhang, Qian Wang, Kerry Purtell, Mathilde Pruvost, Ilo Jou, Beomsue Kim, Eun-Hye Joe and Hey‐Kyeong Jeong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Insup Choi

21 papers receiving 1.2k citations

Hit Papers

Microglia clear neuron-released α-synuclein via selective... 2020 2026 2022 2024 2020 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Insup Choi United States 18 515 455 409 325 301 21 1.2k
Kerry Purtell United States 16 358 0.7× 239 0.5× 654 1.6× 193 0.6× 333 1.1× 17 1.3k
Sara Sáez-Atiénzar United States 16 503 1.0× 190 0.4× 482 1.2× 356 1.1× 174 0.6× 24 1.2k
Hervé Rhinn United States 15 485 0.9× 510 1.1× 512 1.3× 527 1.6× 197 0.7× 25 1.5k
Mark S. Moehle United States 17 1.1k 2.1× 492 1.1× 610 1.5× 399 1.2× 568 1.9× 27 1.7k
Irene Fernández‐Carasa Spain 9 560 1.1× 193 0.4× 380 0.9× 290 0.9× 321 1.1× 13 1.1k
Adamantios Mamais United States 22 1.0k 2.0× 316 0.7× 552 1.3× 610 1.9× 300 1.0× 33 1.6k
Kateřina Venderová United States 13 574 1.1× 172 0.4× 438 1.1× 227 0.7× 436 1.4× 17 1.2k
Isabella Russo Italy 22 692 1.3× 509 1.1× 583 1.4× 514 1.6× 438 1.5× 39 1.5k
Amanda M. Gysbers Australia 11 818 1.6× 243 0.5× 260 0.6× 520 1.6× 282 0.9× 11 1.2k
Roberta Marongiu United States 14 609 1.2× 184 0.4× 438 1.1× 203 0.6× 387 1.3× 25 1.1k

Countries citing papers authored by Insup Choi

Since Specialization
Citations

This map shows the geographic impact of Insup Choi'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 Insup Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Insup Choi more than expected).

Fields of papers citing papers by Insup Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Insup Choi. 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 Insup Choi. The network helps show where Insup Choi may publish in the future.

Co-authorship network of co-authors of Insup Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Insup Choi. A scholar is included among the top collaborators of Insup Choi 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 Insup Choi. Insup Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Qian, Minghui Wang, Insup Choi, et al.. (2024). Molecular profiling of human substantia nigra identifies diverse neuron types associated with vulnerability in Parkinson’s disease. Science Advances. 10(2). eadi8287–eadi8287. 28 indexed citations
2.
Zhu, Hanwen, Xianting Li, Hee‐Soo Kim, et al.. (2024). RAB12-LRRK2 complex suppresses primary ciliogenesis and regulates centrosome homeostasis in astrocytes. Nature Communications. 15(1). 8434–8434. 6 indexed citations
3.
Choi, Insup, Minghui Wang, Seungyeul Yoo, et al.. (2023). Autophagy enables microglia to engage amyloid plaques and prevents microglial senescence. Nature Cell Biology. 25(7). 963–974. 106 indexed citations breakdown →
4.
Choi, Insup, et al.. (2022). Regulation of α-synuclein homeostasis and inflammasome activation by microglial autophagy. Science Advances. 8(43). eabn1298–eabn1298. 27 indexed citations
5.
Deng, Zhiqiang, Xianting Li, Marian Blanca Ramírez, et al.. (2021). Selective autophagy of AKAP11 activates cAMP/PKA to fuel mitochondrial metabolism and tumor cell growth. Proceedings of the National Academy of Sciences. 118(14). 34 indexed citations
6.
Choi, Insup, Yuanxi Zhang, Mathilde Pruvost, et al.. (2020). Microglia clear neuron-released α-synuclein via selective autophagy and prevent neurodegeneration. Nature Communications. 11(1). 1386–1386. 381 indexed citations breakdown →
7.
8.
Heaton, George R., Dongxiao Liang, Insup Choi, et al.. (2020). Progress in LRRK2-Associated Parkinson’s Disease Animal Models. Frontiers in Neuroscience. 14. 674–674. 40 indexed citations
9.
Choi, Insup, et al.. (2020). Synucleinphagy: a microglial “community cleanup program” for neuroprotection. Autophagy. 16(9). 1718–1720. 22 indexed citations
10.
Wang, Qian, Yuanxi Zhang, Minghui Wang, et al.. (2019). The landscape of multiscale transcriptomic networks and key regulators in Parkinson’s disease. Nature Communications. 10(1). 5234–5234. 68 indexed citations
11.
Lachance, Véronik, Qian Wang, Eric S. Sweet, et al.. (2019). Autophagy protein NRBF2 has reduced expression in Alzheimer’s brains and modulates memory and amyloid-beta homeostasis in mice. Molecular Neurodegeneration. 14(1). 43–43. 62 indexed citations
12.
Choi, Insup, Dong‐Joo Choi, Hai‐Jie Yang, et al.. (2016). PINK1 expression increases during brain development and stem cell differentiation, and affects the development of GFAP-positive astrocytes. Molecular Brain. 9(1). 18–18. 49 indexed citations
13.
Choi, Insup, et al.. (2016). Interplay between Leucine-Rich Repeat Kinase 2 (LRRK2) and p62/SQSTM-1 in Selective Autophagy. PLoS ONE. 11(9). e0163029–e0163029. 37 indexed citations
14.
Choi, Insup, et al.. (2016). LRRK2 Inhibits FAK Activity by Promoting FERM-mediated Autoinhibition of FAK and Recruiting the Tyrosine Phosphatase, SHP-2. Experimental Neurobiology. 25(5). 269–276. 4 indexed citations
15.
Choi, Insup, Joo Hong Woo, Ilo Jou, & Eun-Hye Joe. (2016). PINK1 Deficiency Decreases Expression Levels of mir-326, mir-330, and mir-3099 during Brain Development and Neural Stem Cell Differentiation. Experimental Neurobiology. 25(1). 14–23. 32 indexed citations
16.
Choi, Insup, Beomsue Kim, Sung-Hoon Baik, et al.. (2015). LRRK2 G2019S mutation attenuates microglial motility by inhibiting focal adhesion kinase. Nature Communications. 6(1). 8255–8255. 86 indexed citations
17.
Jeong, Hey‐Kyeong, Kyungmin Ji, Kyoung‐jin Min, et al.. (2014). Astrogliosis Is a Possible Player in Preventing Delayed Neuronal Death. Molecules and Cells. 37(4). 345–355. 20 indexed citations
18.
Choi, Hyo‐Kyoung, Youngsok Choi, Hee‐Bum Kang, et al.. (2014). PINK1 positively regulates HDAC3 to suppress dopaminergic neuronal cell death. Human Molecular Genetics. 24(4). 1127–1141. 40 indexed citations
19.
20.
Kim, Jun, Insup Choi, Beomsue Kim, et al.. (2013). PINK1 Deficiency Enhances Inflammatory Cytokine Release from Acutely Prepared Brain Slices. Experimental Neurobiology. 22(1). 38–44. 56 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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