Byeong Jang

653 total citations
9 papers, 577 citations indexed

About

Byeong Jang is a scholar working on Pharmacology, Genetics and Immunology. According to data from OpenAlex, Byeong Jang has authored 9 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmacology, 3 papers in Genetics and 2 papers in Immunology. Recurrent topics in Byeong Jang's work include Inflammatory mediators and NSAID effects (4 papers), Estrogen and related hormone effects (3 papers) and Immune Response and Inflammation (2 papers). Byeong Jang is often cited by papers focused on Inflammatory mediators and NSAID effects (4 papers), Estrogen and related hormone effects (3 papers) and Immune Response and Inflammation (2 papers). Byeong Jang collaborates with scholars based in South Korea, United States and Japan. Byeong Jang's co-authors include Daniel Hwang, Gang Yu, Mary D. Boudreau, Jin K. Kim, Wan Lee, Nikolaus H. Fischer, Heekyung Tak, Lili Feng, Yiyang Xia and Teruhiko Beppu and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Biochemical Pharmacology.

In The Last Decade

Byeong Jang

9 papers receiving 563 citations

Peers

Byeong Jang

MB

PHARM

CR

IMMUN

BIOCH

Miriam Zeini Spain

Myoung Suk Choi South Korea

Kyu Hyung Han South Korea

Yoon-Yub Park South Korea

Jeong-Hyung Lee South Korea

Ji-Hong Lim South Korea

Julia Art Germany

Byung Chul Park South Korea

Kazuhisa Nishishita Japan

Masao Murakawa Japan

Miriam Zeini Spain

Byeong Jang

337 ×1.3

MB

66 ×0.4

PHARM

82 ×0.5

CR

120 ×0.8

IMMUN

30 ×0.6

BIOCH

Citations per year, relative to Byeong Jang Byeong Jang (= 1×) peers Miriam Zeini

Countries citing papers authored by Byeong Jang

Since Specialization

Citations

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

Fields of papers citing papers by Byeong Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byeong Jang

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

All Works

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9 of 9 papers shown

1.

Park, Young‐Jun, Byeong Jang, Young Gun Pu, et al.. (2018). Design of Peak Efficiency of 85.3% WPC/PMA Wireless Power Receiver Using Synchronous Active Rectifier and Multi Feedback Low-Dropout Regulator. Energies. 11(3). 479–479. 3 indexed citations

2.

Park, Young Min, Byeong Jang, Danial Khan, et al.. (2018). Single Inductor-Multiple Output DPWM DC-DC Boost Converter with a High Efficiency and Small Area. Energies. 11(4). 725–725. 6 indexed citations

3.

Hwang, Ilseon, et al.. (2014). Prognostic Significance of Claudin 4 in Completely Resected Adenocarcinoma of the Lung. The Korean Journal of Thoracic and Cardiovascular Surgery. 47(3). 262–268. 11 indexed citations

4.

Kim, Soon Ae, Sung Hee Hyun, Chul Hee Choi, et al.. (2008). Global gene expression patterns and induction of innate immune response in human laryngeal epithelial cells in response toAcinetobacter baumanniiouter membrane protein A. FEMS Immunology & Medical Microbiology. 54(1). 45–52. 27 indexed citations

5.

Lee, Joo Young, Clifford A. Lowell, Danielle G. Lemay, et al.. (2005). The regulation of the expression of inducible nitric oxide synthase by Src-family tyrosine kinases mediated through MyD88-independent signaling pathways of Toll-like receptor 4. Biochemical Pharmacology. 70(8). 1231–1240. 53 indexed citations

6.

Feng, Lili, Byeong Jang, & Daniel Duck-Jin Hwang. (1997). Inhibitor of Protein Tyrosine Kinase, Radicicol, Suprresses the Expression of Cyclooxygenase and Pro-Inflammatory Cytokines in LPS-Stimulated Rat Alveolar Macrophage in Part by Accelerating Degradation of mRNA. Advances in experimental medicine and biology. 407. 281–288. 3 indexed citations

7.

Hwang, Daniel, Byeong Jang, Gang Yu, & Mary D. Boudreau. (1997). Expression of mitogen-inducible cyclooxygenase induced by lipopolysaccharide. Biochemical Pharmacology. 54(1). 87–96. 232 indexed citations

8.

Hwang, Daniel, Nikolaus H. Fischer, Byeong Jang, et al.. (1996). Inhibition of the Expression of Inducible Cyclooxygenase and Proinflammatory Cytokines by Sesquiterpene Lactones in Macrophages Correlates with the Inhibition of MAP Kinases. Biochemical and Biophysical Research Communications. 226(3). 810–818. 136 indexed citations

9.

Chanmugam, Prithiva, Lili Feng, Shuenn Liou, et al.. (1995). Radicicol, a Protein Tyrosine Kinase Inhibitor, Suppresses the Expression of Mitogen-inducible Cyclooxygenase in Macrophages Stimulated with Lipopolysaccharide and in Experimental Glomerulonephritis. Journal of Biological Chemistry. 270(10). 5418–5426. 106 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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