Kwangmin Cho

1.2k total citations
22 papers, 1.0k citations indexed

About

Kwangmin Cho is a scholar working on Epidemiology, Cell Biology and Physiology. According to data from OpenAlex, Kwangmin Cho has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 7 papers in Cell Biology and 7 papers in Physiology. Recurrent topics in Kwangmin Cho's work include Alzheimer's disease research and treatments (7 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Immune Cell Function and Interaction (5 papers). Kwangmin Cho is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Immune Cell Function and Interaction (5 papers). Kwangmin Cho collaborates with scholars based in South Korea, United States and Netherlands. Kwangmin Cho's co-authors include Kwangseog Ahn, Boyoun Park, Dong‐Hou Kim, Seung‐Yong Yoon, Mi‐Hyang Cho, Eunkyung Kim, Jinwook Shin, Hyung‐Joon Kwon, Eun‐Young Jeon and Sunglim Cho and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Kwangmin Cho

20 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kwangmin Cho South Korea 14 407 323 301 178 163 22 1.0k
Ann De Mazière Netherlands 13 291 0.7× 868 2.7× 424 1.4× 247 1.4× 219 1.3× 19 1.6k
Philip Hublitz United Kingdom 15 312 0.8× 807 2.5× 220 0.7× 167 0.9× 97 0.6× 26 1.3k
Marek Kujawa Poland 13 74 0.2× 388 1.2× 113 0.4× 238 1.3× 168 1.0× 38 869
Michał Krawczyk Poland 21 499 1.2× 715 2.2× 156 0.5× 96 0.5× 42 0.3× 43 1.6k
Richard J. Noel Puerto Rico 18 193 0.5× 733 2.3× 165 0.5× 144 0.8× 101 0.6× 46 1.6k
Carolyn Jack Canada 15 761 1.9× 228 0.7× 100 0.3× 196 1.1× 22 0.1× 27 1.5k
Amy Lewis United Kingdom 18 253 0.6× 371 1.1× 171 0.6× 137 0.8× 73 0.4× 44 965
Lijun Sun China 10 357 0.9× 1.2k 3.7× 193 0.6× 75 0.4× 153 0.9× 24 1.7k
John Ashkenas United States 17 525 1.3× 557 1.7× 173 0.6× 103 0.6× 148 0.9× 37 1.7k
Ute Woehlbier Chile 17 181 0.4× 395 1.2× 281 0.9× 88 0.5× 358 2.2× 28 1.1k

Countries citing papers authored by Kwangmin Cho

Since Specialization
Citations

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

Fields of papers citing papers by Kwangmin Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kwangmin Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Kwangmin Cho. A scholar is included among the top collaborators of Kwangmin Cho 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 Kwangmin Cho. Kwangmin Cho 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.
Cho, Kwangmin, et al.. (2023). Neuronal MHC-I complex is destabilized by amyloid-β and its implications in Alzheimer’s disease. Cell & Bioscience. 13(1). 181–181. 5 indexed citations
2.
Park, Jung‐Hyun, et al.. (2023). In Silico Screening and Optimization of Cell-Penetrating Peptides Using Deep Learning Methods. Biomolecules. 13(3). 522–522. 13 indexed citations
3.
Kim, Nayoung, Kwangmin Cho, Chan‐Gi Pack, et al.. (2023). Monoclonal antibody Y01 prevents tauopathy progression induced by lysine 280–acetylated tau in cell and mouse models. Journal of Clinical Investigation. 133(8). 17 indexed citations
4.
5.
Cho, Kwangmin, et al.. (2020). TLQP-21 mediated activation of microglial BV2 cells promotes clearance of extracellular fibril amyloid-β. Biochemical and Biophysical Research Communications. 524(3). 764–771. 11 indexed citations
6.
Cho, Mi‐Hyang, et al.. (2019). V232M substitution restricts a distinct O-glycosylation of PLD3 and its neuroprotective function. Neurobiology of Disease. 129. 182–194. 11 indexed citations
7.
Jung, Joo-Young, et al.. (2018). Exploring the Effects of Contextual Factors on Home Lighting Experience. Archives of Design Research. 31(1). 5–21. 3 indexed citations
8.
Song, Jaeki, Junghwan Kim, & Kwangmin Cho. (2017). Understanding users’ continuance intentions to use smart-connected sports products. Sport Management Review. 21(5). 477–490. 48 indexed citations
9.
Cho, Kwangmin, et al.. (2015). Calpain‐mediated cleavage of DARPP‐32 in Alzheimer's disease. Aging Cell. 14(5). 878–886. 21 indexed citations
10.
Cho, Mi‐Hyang, Kwangmin Cho, Eun‐Young Jeon, et al.. (2014). Autophagy in microglia degrades extracellular β-amyloid fibrils and regulates the NLRP3 inflammasome. Autophagy. 10(10). 1761–1775. 328 indexed citations
11.
Cho, Kwangmin, et al.. (2013). CA-074Me, a cathepsin B inhibitor, decreases APP accumulation and protects primary rat cortical neurons treated with okadaic acid. Neuroscience Letters. 548. 222–227. 25 indexed citations
12.
Cho, Kwangmin, Sunglim Cho, Changhoon Oh, et al.. (2011). Redox-Regulated Peptide Transfer from the Transporter Associated with Antigen Processing to Major Histocompatibility Complex Class I Molecules by Protein Disulfide Isomerase. Antioxidants and Redox Signaling. 15(3). 621–633. 18 indexed citations
13.
Cho, Kwangmin, et al.. (2009). Protein disulphide isomerase is required for signal peptide peptidase‐mediated protein degradation. The EMBO Journal. 29(2). 363–375. 53 indexed citations
14.
Kang, Kwonyoon, Boyoun Park, Changhoon Oh, Kwangmin Cho, & Kwangseog Ahn. (2009). A Role for Protein Disulfide Isomerase in the Early Folding and Assembly of MHC Class I Molecules. Antioxidants and Redox Signaling. 11(10). 2553–2561. 26 indexed citations
15.
Kim, Young‐Kyun, Boyoun Park, Sunglim Cho, et al.. (2008). Human Cytomegalovirus UL18 Utilizes US6 for Evading the NK and T-Cell Responses. PLoS Pathogens. 4(8). e1000123–e1000123. 26 indexed citations
16.
Park, Boyoun, Sungwook Lee, Eunkyung Kim, et al.. (2006). Redox Regulation Facilitates Optimal Peptide Selection by MHC Class I during Antigen Processing. Cell. 127(2). 369–382. 131 indexed citations
17.
Hwang, SuJin, Jung‐Hyun Park, Boyoun Park, et al.. (2005). Functional dissection of HCMV US11 in mediating the degradation of MHC class I molecules. Biochemical and Biophysical Research Communications. 330(4). 1262–1267. 13 indexed citations
18.
Park, Boyoun, Young‐Kyun Kim, Jinwook Shin, et al.. (2004). Human Cytomegalovirus Inhibits Tapasin-Dependent Peptide Loading and Optimization of the MHC Class I Peptide Cargo for Immune Evasion. Immunity. 20(1). 71–85. 115 indexed citations
19.
Shin, Jinwook, Boyoun Park, Sunglim Cho, et al.. (2004). Promyelocytic Leukemia Is a Direct Inhibitor of SAPK2/p38 Mitogen-activated Protein Kinase. Journal of Biological Chemistry. 279(39). 40994–41003. 6 indexed citations
20.
Lee, Sunray, Boyoun Park, Eunkyung Kim, et al.. (2003). Soluble HLA-G generated by proteolytic shedding inhibits NK-mediated cell lysis. Biochemical and Biophysical Research Communications. 313(3). 606–611. 142 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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