Hyug Moo Kwon

2.9k total citations
85 papers, 2.4k citations indexed

About

Hyug Moo Kwon is a scholar working on Cell Biology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Hyug Moo Kwon has authored 85 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cell Biology, 41 papers in Molecular Biology and 17 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Hyug Moo Kwon's work include Aldose Reductase and Taurine (53 papers), Heme Oxygenase-1 and Carbon Monoxide (15 papers) and Prenatal Substance Exposure Effects (11 papers). Hyug Moo Kwon is often cited by papers focused on Aldose Reductase and Taurine (53 papers), Heme Oxygenase-1 and Carbon Monoxide (15 papers) and Prenatal Substance Exposure Effects (11 papers). Hyug Moo Kwon collaborates with scholars based in South Korea, United States and Japan. Hyug Moo Kwon's co-authors include Soo Youn Choi, Whaseon Lee‐Kwon, Joseph S. Handler, Sang Do Lee, Brian R. Wamhoff, Udo Hasler, Pierre‐Yves Martin, Eric Féraille, Un Sil Jeon and Seung Kyoon Woo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Hyug Moo Kwon

83 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyug Moo Kwon South Korea 32 1.1k 964 365 295 227 85 2.4k
Stephen S. Chung United States 27 1.1k 1.0× 944 1.0× 324 0.9× 382 1.3× 189 0.8× 90 2.2k
Ka Chen China 33 1.6k 1.5× 1.0k 1.1× 434 1.2× 77 0.3× 242 1.1× 56 3.1k
Meng‐Ru Shen Taiwan 34 1.9k 1.7× 400 0.4× 256 0.7× 105 0.4× 274 1.2× 86 3.1k
Grisha Pirianov United Kingdom 23 2.1k 1.9× 615 0.6× 317 0.9× 73 0.2× 506 2.2× 39 3.2k
Paulo Costa Portugal 25 1.9k 1.7× 463 0.5× 579 1.6× 79 0.3× 257 1.1× 112 2.8k
Ruth Kornreich United States 26 845 0.8× 331 0.3× 814 2.2× 200 0.7× 120 0.5× 63 2.5k
Timothy L. Reudelhuber Canada 38 1.7k 1.6× 485 0.5× 631 1.7× 75 0.3× 267 1.2× 81 3.8k
Kimihiko Sano Japan 24 1.3k 1.2× 290 0.3× 231 0.6× 165 0.6× 341 1.5× 60 2.7k
Ryoko Suzuki Japan 28 1.2k 1.1× 254 0.3× 135 0.4× 114 0.4× 180 0.8× 99 2.3k
David J. Figueroa United States 23 2.0k 1.8× 458 0.5× 551 1.5× 83 0.3× 557 2.5× 44 3.8k

Countries citing papers authored by Hyug Moo Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Hyug Moo Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyug Moo Kwon. 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 Hyug Moo Kwon. The network helps show where Hyug Moo Kwon may publish in the future.

Co-authorship network of co-authors of Hyug Moo Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Hyug Moo Kwon. A scholar is included among the top collaborators of Hyug Moo Kwon 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 Hyug Moo Kwon. Hyug Moo Kwon 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.
Kim, Hyun‐Soo, et al.. (2025). Golgi condensation causes intestinal lipid accumulation through HIF-1α-mediated GM130 ubiquitination by NEDD4. Experimental & Molecular Medicine. 57(2). 349–363. 1 indexed citations
2.
Park, Hyun, et al.. (2024). A Gain-of-Function Cleavage of TonEBP by Coronavirus NSP5 to Suppress IFN-β Expression. Cells. 13(19). 1614–1614. 2 indexed citations
3.
Kwon, Hyug Moo, et al.. (2024). TonEBP degradation is essential for microtubule nucleation and regrowth. Biochemical and Biophysical Research Communications. 734. 150791–150791. 1 indexed citations
4.
Park, Channy, et al.. (2024). TMEM135 deficiency improves hepatic steatosis by suppressing CD36 in a SIRT1-dependent manner. Molecular Metabolism. 92. 102080–102080.
5.
Yoo, Eun Jin, Palanivel Kandasamy, Julie Refardt, et al.. (2023). Extracellular sodium regulates fibroblast growth factor 23 (FGF23) formation. Journal of Biological Chemistry. 300(1). 105480–105480. 5 indexed citations
6.
Choi, Soo Youn, Whaseon Lee‐Kwon, & Hyug Moo Kwon. (2020). The evolving role of TonEBP as an immunometabolic stress protein. Nature Reviews Nephrology. 16(6). 352–364. 60 indexed citations
7.
Lee, Jun Ho, Jae Hee Suh, Hyun Je Kang, et al.. (2020). Tonicity-responsive enhancer-binding protein promotes stemness of liver cancer and cisplatin resistance. EBioMedicine. 58. 102926–102926. 10 indexed citations
8.
Yoo, Eun Jin, Hwan Hee Lee, Byeong Jin Ye, et al.. (2019). TonEBP Suppresses the HO-1 Gene by Blocking Recruitment of Nrf2 to Its Promoter. Frontiers in Immunology. 10. 850–850. 17 indexed citations
9.
Park, Jeong Woo, et al.. (2019). Tonicity‐responsive enhancer binding protein (TonEBP) regulates TNF‐α‐induced hypothalamic inflammation. FEBS Letters. 593(19). 2762–2770. 5 indexed citations
10.
Min, Eunjung, et al.. (2018). Optical properties of acute kidney injury measured by quantitative phase imaging. Biomedical Optics Express. 9(3). 921–921. 19 indexed citations
11.
Kim, Min, Jun Ho Lee, Jiyoung Oh, et al.. (2018). COL6A3‐derived endotrophin links reciprocal interactions among hepatic cells in the pathology of chronic liver disease. The Journal of Pathology. 247(1). 99–109. 31 indexed citations
12.
Lee, Jong Youl, Ju‐Hong Jeon, Kyung Eun Kim, et al.. (2017). TonEBP/NFAT5 haploinsufficiency attenuates hippocampal inflammation in high-fat diet/streptozotocin-induced diabetic mice. Scientific Reports. 7(1). 7837–7837. 18 indexed citations
13.
Jeong, Ga Ram, Sun‐Kyoung Im, Yun-Hee Bae, et al.. (2016). Inflammatory signals induce the expression of tonicity-responsive enhancer binding protein (TonEBP) in microglia. Journal of Neuroimmunology. 295-296. 21–29. 22 indexed citations
14.
Kim, Hwajin, Sun Woo Lim, Yoon Sook Kim, et al.. (2014). Tonicity-responsive enhancer binding protein regulates the expression of aldose reductase and protein kinase C δ in a mouse model of diabetic retinopathy. Experimental Eye Research. 122. 13–19. 21 indexed citations
15.
Yang, Yong Ryoul, Jang Hyun Choi, Jong‐Soo Chang, et al.. (2011). Diverse cellular and physiological roles of phospholipase C-γ1. Advances in Biological Regulation. 52(1). 138–151. 26 indexed citations
16.
Shin, Jung‐A, et al.. (2011). Renal ischemia–reperfusion injury causes intercalated cell-specific disruption of occludin in the collecting duct. Histochemistry and Cell Biology. 136(6). 637–647. 23 indexed citations
17.
Hashimoto, Yasuhiro, Shin‐Ichiro Yamagishi, Hiroki Mizukami, et al.. (2010). Polyol pathway and diabetic nephropathy revisited: Early tubular cell changes and glomerulopathy in diabetic mice overexpressing human aldose reductase. Journal of Diabetes Investigation. 2(2). 111–122. 31 indexed citations
18.
Sheen, Mee Rie, Jeong‐Ah Kim, Sun Woo Lim, et al.. (2008). Interstitial tonicity controls TonEBP expression in the renal medulla. Kidney International. 75(5). 518–525. 33 indexed citations
19.
20.

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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