Jin Won Cho

4.6k total citations
87 papers, 3.2k citations indexed

About

Jin Won Cho is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Jin Won Cho has authored 87 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 27 papers in Immunology and 21 papers in Cell Biology. Recurrent topics in Jin Won Cho's work include Glycosylation and Glycoproteins Research (39 papers), Galectins and Cancer Biology (17 papers) and Carbohydrate Chemistry and Synthesis (13 papers). Jin Won Cho is often cited by papers focused on Glycosylation and Glycoproteins Research (39 papers), Galectins and Cancer Biology (17 papers) and Carbohydrate Chemistry and Synthesis (13 papers). Jin Won Cho collaborates with scholars based in South Korea, United States and Japan. Jin Won Cho's co-authors include Won Ho Yang, Hyung Wook Nam, Hoe Suk Kim, Sangyoon Park, Yu Sam Kim, Jung‐Won Ju, Jeong Gu Kang, Jürgen Roth, Ji Eun Kim and Insook Jang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Society Reviews and Journal of Biological Chemistry.

In The Last Decade

Jin Won Cho

85 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Won Cho South Korea 33 2.2k 883 717 369 368 87 3.2k
Eugenio Monti Italy 31 2.3k 1.0× 755 0.9× 329 0.5× 315 0.9× 812 2.2× 112 3.3k
Koichi Honke Japan 42 3.7k 1.6× 1.2k 1.4× 948 1.3× 227 0.6× 925 2.5× 134 5.2k
Jin‐ichi Inokuchi Japan 37 3.6k 1.6× 828 0.9× 587 0.8× 254 0.7× 1.1k 3.0× 146 4.5k
Mari Kono United States 33 2.8k 1.2× 669 0.8× 332 0.5× 300 0.8× 868 2.4× 69 3.8k
Christoph C. Geilen Germany 33 1.8k 0.8× 595 0.7× 258 0.4× 380 1.0× 401 1.1× 106 3.3k
Natasha E. Zachara United States 35 4.2k 1.9× 1.9k 2.2× 2.0k 2.8× 167 0.5× 575 1.6× 64 4.9k
James F. Tobin United States 31 2.8k 1.3× 627 0.7× 217 0.3× 385 1.0× 480 1.3× 45 4.7k
Ching-Shih Chen United States 46 3.3k 1.5× 533 0.6× 545 0.8× 345 0.9× 755 2.1× 83 5.3k
David J. Meyers United States 23 2.8k 1.3× 757 0.9× 143 0.2× 375 1.0× 238 0.6× 40 4.5k
Megan J. Robinson United States 18 3.2k 1.4× 522 0.6× 306 0.4× 314 0.9× 522 1.4× 20 4.4k

Countries citing papers authored by Jin Won Cho

Since Specialization
Citations

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

Fields of papers citing papers by Jin Won Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Won Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Won Cho. A scholar is included among the top collaborators of Jin Won 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 Jin Won Cho. Jin Won 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.
Kang, Donghyun, Jeeyeon Lee, Seok Hoo Jeong, et al.. (2025). Regulation of senescence-associated secretory phenotypes in osteoarthritis by cytosolic UDP-GlcNAc retention and O-GlcNAcylation. Nature Communications. 16(1). 1094–1094. 9 indexed citations
2.
Kim, Han Byeol, Suena Ji, Dong Hyuk Shin, et al.. (2025). O-GlcNAcylation of NONO regulates paraspeckle component assembly and contributes to colon cancer cell proliferation. Cell Death Discovery. 11(1). 234–234. 1 indexed citations
3.
Lee, Yangsin, et al.. (2023). A surge of cytosolic calcium dysregulates lysosomal function and impairs autophagy flux during cupric chloride–induced neuronal death. Journal of Biological Chemistry. 300(1). 105479–105479. 5 indexed citations
4.
Kim, Min Seong, et al.. (2023). SETD5 regulates the OGT-catalyzed O-GlcNAcylation of RNA polymerase II, which is involved in the stemness of colorectal cancer cells. Scientific Reports. 13(1). 19885–19885. 2 indexed citations
5.
Cho, Yongin, et al.. (2022). Association of Metabolomic Change and Treatment Response in Patients with Non-Alcoholic Fatty Liver Disease. Biomedicines. 10(6). 1216–1216. 6 indexed citations
6.
Kim, So-Young, Zhendong Zhong, Mikhail Savitsky, et al.. (2020). LDL receptor‐related protein LRP 6 senses nutrient levels and regulates Hippo signaling. EMBO Reports. 21(9). e50103–e50103. 11 indexed citations
7.
Lee, Yong‐ho, So Ra Kim, Dai Hoon Han, et al.. (2018). Senescent T Cells Predict the Development of Hyperglycemia in Humans. Diabetes. 68(1). 156–162. 56 indexed citations
8.
Kim, Tae‐Gyun, Mi-Kyoung Kim, Sung Hee Kim, et al.. (2015). CCCTC-binding factor controls the homeostatic maintenance and migration of Langerhans cells. Journal of Allergy and Clinical Immunology. 136(3). 713–724. 16 indexed citations
9.
Banerjee, P. S., Gerald W. Hart, & Jin Won Cho. (2012). Chemical approaches to study O-GlcNAcylation. Chemical Society Reviews. 42(10). 4345–4357. 55 indexed citations
10.
Kim, Tai Hoon, Yeon Jung Kim, Jin Won Cho, & Jaegal Shim. (2010). A novel zinc-carboxypeptidase SURO-1 regulates cuticle formation and body morphogenesis inCaenorhabditis elegans. FEBS Letters. 585(1). 121–127. 14 indexed citations
11.
Roth, Jürgen, Christian Zuber, Sujin Park, et al.. (2010). Protein N-Glycosylation, Protein Folding, and Protein Quality Control. Molecules and Cells. 30(6). 497–506. 133 indexed citations
12.
Park, Sangyoon, Hyun Sil Kim, Nam Hee Kim, et al.. (2010). Snail1 is stabilized by O‐GlcNAc modification in hyperglycaemic condition. The EMBO Journal. 29(22). 3787–3796. 157 indexed citations
13.
Park, Sangyoon, et al.. (2009). Excessive O‐GlcNAcylation of proteins suppresses spontaneous cardiogenesis in ES cells. FEBS Letters. 583(15). 2474–2478. 38 indexed citations
14.
Yang, Won Ho, Sangyoon Park, Hyung Wook Nam, et al.. (2008). NFκB activation is associated with its O -GlcNAcylation state under hyperglycemic conditions. Proceedings of the National Academy of Sciences. 105(45). 17345–17350. 214 indexed citations
15.
Kim, Hoe Suk, Jin Won Cho, Kyoko Hidaka, & Takayuki Morisaki. (2007). Activation of MEK–ERK by heregulin-β1 promotes the development of cardiomyocytes derived from ES cells. Biochemical and Biophysical Research Communications. 361(3). 732–738. 33 indexed citations
16.
Yang, Won Ho, Ji Eun Kim, Hyung Wook Nam, et al.. (2006). Modification of p53 with O-linked N-acetylglucosamine regulates p53 activity and stability. Nature Cell Biology. 8(10). 1074–1083. 375 indexed citations
17.
Yang, Wonho, Jung‐Won Ju, & Jin Won Cho. (2004). Streptozotocin, an O-GlcNAcase Inhibitor, Stimulates TNFα - Induced Cell Death. 65–67.
18.
Lee, Gha Young, et al.. (2002). Genomic organization and characterization of the promoter of rat malonyl-CoA decarboxylase gene. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1577(1). 133–138. 3 indexed citations
19.
Shin, Injae, et al.. (2000). Chemoselective ligation of acetylated 1-maleimidosugars to peptides for the preparation of neoglycopeptides [2]. Bulletin of the Korean Chemical Society. 21(9). 845–846. 7 indexed citations
20.
Chung, In Kwon, et al.. (1999). Effects of retinoic acid and cAMP on the differentiation of Naegleria gruberi amoebas into flagellates. Korean Journal of Biological Sciences. 3(2). 207–213. 1 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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