Jaewoong Jang

476 total citations
18 papers, 377 citations indexed

About

Jaewoong Jang is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Jaewoong Jang has authored 18 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Jaewoong Jang's work include Wnt/β-catenin signaling in development and cancer (7 papers), Cancer-related gene regulation (5 papers) and NF-κB Signaling Pathways (4 papers). Jaewoong Jang is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (7 papers), Cancer-related gene regulation (5 papers) and NF-κB Signaling Pathways (4 papers). Jaewoong Jang collaborates with scholars based in South Korea and United States. Jaewoong Jang's co-authors include Yoosik Yoon, Sang‐In Chung, Eek‐hoon Jho, Youngeun Kim, Seok‐min Kim, Hyunji Lee, Jaewon Song, Young V. Kwon, Soo Hyun Cho and Minwoo Park and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Jaewoong Jang

18 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaewoong Jang South Korea 10 181 72 65 50 43 18 377
Jinque Luo China 14 233 1.3× 80 1.1× 50 0.8× 63 1.3× 54 1.3× 28 541
Honggang Chi China 14 157 0.9× 66 0.9× 40 0.6× 43 0.9× 32 0.7× 26 390
Qingchun Diao China 13 159 0.9× 66 0.9× 52 0.8× 29 0.6× 40 0.9× 37 436
Katrin Fischhuber Austria 8 224 1.2× 68 0.9× 46 0.7× 32 0.6× 43 1.0× 10 413
Linan Zhao China 11 201 1.1× 57 0.8× 49 0.8× 44 0.9× 58 1.3× 25 495
Chi‐Fu Chiang Taiwan 10 172 1.0× 107 1.5× 57 0.9× 71 1.4× 53 1.2× 31 454
Yanting You China 13 234 1.3× 49 0.7× 44 0.7× 40 0.8× 39 0.9× 36 517
Harrison M. Penrose United States 12 220 1.2× 59 0.8× 60 0.9× 62 1.2× 79 1.8× 22 473
Fangxue Ma China 6 251 1.4× 69 1.0× 28 0.4× 51 1.0× 44 1.0× 9 388
Kuo-Juei Lin Taiwan 9 114 0.6× 66 0.9× 65 1.0× 42 0.8× 69 1.6× 12 400

Countries citing papers authored by Jaewoong Jang

Since Specialization
Citations

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

Fields of papers citing papers by Jaewoong Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaewoong Jang

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

All Works

18 of 18 papers shown
1.
Jang, Jaewoong, Jaewon Song, Jong‐Kyu Lee, et al.. (2022). Paeonia lactiflora extract improves the muscle function of mdx mice, an animal model of Duchenne muscular dystrophy, via downregulating the high mobility group box 1 protein. Journal of Ethnopharmacology. 289. 115079–115079. 2 indexed citations
2.
3.
Jang, Jaewoong, Jaewon Song, Hyunji Lee, et al.. (2021). LGK974 suppresses lipopolysaccharide-induced endotoxemia in mice by modulating the crosstalk between the Wnt/β-catenin and NF-κB pathways. Experimental & Molecular Medicine. 53(3). 407–421. 23 indexed citations
4.
Jang, Jaewoong, et al.. (2021). Wnt-C59 inhibits proinflammatory cytokine expression by reducing the interaction between β-catenin and NF-κB in LPS-stimulated epithelial and macrophage cells. Korean Journal of Physiology and Pharmacology. 25(4). 307–319. 4 indexed citations
5.
Jang, Jaewoong, Hyunji Lee, Jaewon Song, et al.. (2020). Paeonia lactiflora extract suppresses cisplatin-induced muscle wasting via downregulation of muscle-specific ubiquitin E3 ligases, NF-κB signaling, and cytokine levels. Journal of Ethnopharmacology. 266. 113403–113403. 6 indexed citations
6.
Jang, Jaewoong, Hyunji Lee, Jaewon Song, et al.. (2019). Paeonia lactiflora root extract suppresses cancer cachexia by down-regulating muscular NF-κB signalling and muscle-specific E3 ubiquitin ligases in cancer-bearing mice. Journal of Ethnopharmacology. 246. 112222–112222. 31 indexed citations
7.
Yoon, Yoosik, et al.. (2018). LPS-induced inflammatory response is suppressed by Wnt inhibitors, Dickkopf-1 and LGK974. Proceedings for Annual Meeting of The Japanese Pharmacological Society. WCP2018(0). PO4–3. 1 indexed citations
8.
Jang, Jaewoong, et al.. (2018). XAV939, a Wnt/β-catenin pathway modulator, has inhibitory effects on LPS-induced inflammatory response. Immunopharmacology and Immunotoxicology. 41(3). 394–402. 20 indexed citations
9.
Jang, Jaewoong, et al.. (2017). WNT/β-catenin pathway modulates the TNF-α-induced inflammatory response in bronchial epithelial cells. Biochemical and Biophysical Research Communications. 484(2). 442–449. 28 indexed citations
10.
Jang, Jaewoong, et al.. (2017). LPS-induced inflammatory response is suppressed by Wnt inhibitors, Dickkopf-1 and LGK974. Scientific Reports. 7(1). 41612–41612. 70 indexed citations
11.
Oh, Dong‐Jin, Jaewoong Jang, & Yoosik Yoon. (2017). A calpain inhibitor protects against fractalkine production in lipopolysaccharide-treated endothelial cells. Kidney Research and Clinical Practice. 36(3). 224–231. 6 indexed citations
12.
Jang, Jaewoong, Seong Jun Seo, Seok‐min Kim, et al.. (2017). Berberine activates AMPK to suppress proteolytic processing, nuclear translocation and target DNA binding of SREBP-1c in 3T3-L1 adipocytes. Molecular Medicine Reports. 15(6). 4139–4147. 35 indexed citations
13.
14.
Jang, Jaewoong, et al.. (2016). AMPK and SREBP-1c mediate the anti-adipogenic effect of β-hydroxyisovalerylshikonin. International Journal of Molecular Medicine. 37(3). 816–824. 52 indexed citations
15.
Jang, Jaewoong, Wonyong Kim, Kijeong Kim, et al.. (2015). Lipoteichoic acid upregulates NF-κB and proinflammatory cytokines by modulating β-catenin in bronchial epithelial cells. Molecular Medicine Reports. 12(3). 4720–4726. 11 indexed citations
16.
Jang, Jaewoong, et al.. (2014). β-catenin regulates NF-κB activity and inflammatory cytokine expression in bronchial epithelial cells treated with lipopolysaccharide. International Journal of Molecular Medicine. 34(2). 632–638. 44 indexed citations
17.
Jang, Jaewoong, Seok‐min Kim, Wonyong Kim, et al.. (2013). β-catenin mediates the inflammatory cytokine expression induced by the Der p 1 house dust mite allergen. Molecular Medicine Reports. 9(2). 633–638. 9 indexed citations
18.
Lee, Haeyong, Sungmin Bae, Jaewoong Jang, et al.. (2013). CD53, a suppressor of inflammatory cytokine production, is associated with population asthma risk via the functional promoter polymorphism −1560 C>T. Biochimica et Biophysica Acta (BBA) - General Subjects. 1830(4). 3011–3018. 20 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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