Jaeyul Kwon

4.1k total citations · 3 hit papers
32 papers, 3.5k citations indexed

About

Jaeyul Kwon is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jaeyul Kwon has authored 32 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 15 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Jaeyul Kwon's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (11 papers), Immune Response and Inflammation (7 papers) and Redox biology and oxidative stress (7 papers). Jaeyul Kwon is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (11 papers), Immune Response and Inflammation (7 papers) and Redox biology and oxidative stress (7 papers). Jaeyul Kwon collaborates with scholars based in United States, South Korea and China. Jaeyul Kwon's co-authors include Sue Goo Rhee, Kap‐Seok Yang, Mark S. Williams, Chung-Hee Lee, Yun Soo Bae, Woojin Jeong, Satish Devadas, Sharon H. Jackson, Lígia A. Pinto and Yeun Ju Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Jaeyul Kwon

29 papers receiving 3.4k citations

Hit Papers

Reversible Inactivation of the Tumor Suppressor PTEN by H2O2 2000 2026 2008 2017 2002 2000 2004 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaeyul Kwon United States 19 2.2k 1.1k 483 337 309 32 3.5k
Yoshihito Nakatani Japan 28 1.9k 0.9× 521 0.5× 487 1.0× 646 1.9× 181 0.6× 54 4.2k
Vittoria Infantino Italy 30 2.1k 0.9× 672 0.6× 402 0.8× 698 2.1× 121 0.4× 65 3.3k
Martha K. Cathcart United States 39 1.4k 0.6× 2.1k 1.9× 589 1.2× 301 0.9× 450 1.5× 80 4.6k
Tsung-I Peng Taiwan 7 3.5k 1.6× 585 0.5× 299 0.6× 429 1.3× 225 0.7× 7 4.7k
Susan W.S. Leung Hong Kong 23 3.0k 1.4× 859 0.8× 747 1.5× 879 2.6× 137 0.4× 76 5.0k
Hans‐Erik Claesson Sweden 34 1.2k 0.6× 1.0k 0.9× 1.0k 2.1× 207 0.6× 283 0.9× 109 3.6k
Vito Iacobazzi Italy 39 3.6k 1.6× 643 0.6× 564 1.2× 728 2.2× 153 0.5× 80 5.0k
Elizabeth C. Ledgerwood New Zealand 24 2.0k 0.9× 388 0.3× 399 0.8× 243 0.7× 150 0.5× 50 2.9k
Minerva T. Garcia-Barrio United States 35 2.4k 1.1× 668 0.6× 663 1.4× 373 1.1× 151 0.5× 64 4.1k
Iok In Christine Chio United States 17 2.3k 1.0× 406 0.4× 231 0.5× 801 2.4× 471 1.5× 25 3.8k

Countries citing papers authored by Jaeyul Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Jaeyul Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaeyul Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Jaeyul Kwon. A scholar is included among the top collaborators of Jaeyul 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 Jaeyul Kwon. Jaeyul 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
3.
Kang, Ju‐Gyeong, et al.. (2023). Gene Set Enrichment Analysis Reveals That Fucoidan Induces Type I IFN Pathways in BMDC. The Journal of Immunology. 210(Supplement_1). 221.20–221.20.
4.
Kang, Ju‐Gyeong, et al.. (2022). Gene Set Enrichment Analysis Reveals That Fucoidan Induces Type I IFN Pathways in BMDC. Nutrients. 14(11). 2242–2242. 8 indexed citations
5.
Kwon, Jaeyul, Hyewon Ryu, Hyo Jin Lee, et al.. (2021). Impact of pre-transplant use of antibiotics on the graft-versus-host disease in adult patients with hematological malignancies. Hematology. 26(1). 96–102. 6 indexed citations
6.
Kang, Ju‐Gyeong, Cory U. Lago, Ji‐Eun Lee, et al.. (2020). A Mouse Homolog of a Human TP53 Germline Mutation Reveals a Lipolytic Activity of p53. Cell Reports. 30(3). 783–792.e5. 17 indexed citations
7.
Gao, Fei Fei, Wei Zhou, Jae–Min Yuk, et al.. (2019). Dipenyleneiodonium Induces Growth Inhibition of Toxoplasma gondii through ROS Induction in ARPE-19 Cells. Korean Journal of Parasitology. 57(2). 83–92. 6 indexed citations
8.
Kim, Mi‐Ok, Su‐Jin Yoo, Seong Wook Kang, et al.. (2017). TNFα and IL-1β in the synovial fluid facilitate mucosal-associated invariant T (MAIT) cell migration. Cytokine. 99. 91–98. 26 indexed citations
9.
Lee, Jina, Jaeyul Kwon, Guang‐Ho Cha, et al.. (2017). NADPH oxidase 4 is required for the generation of macrophage migration inhibitory factor and host defense against Toxoplasma gondii infection. Scientific Reports. 7(1). 6361–6361. 36 indexed citations
10.
Kwon, Jaeyul, Aibing Wang, Howard E. Boudreau, et al.. (2016). Peroxiredoxin 6 (Prdx6) supports NADPH oxidase1 (Nox1)-based superoxide generation and cell migration. Free Radical Biology and Medicine. 96. 99–115. 44 indexed citations
11.
Kang, Ju‐Gyeong, Ho Joong Sung, Marcelo Amar, et al.. (2016). Low ambient oxygen prevents atherosclerosis. Journal of Molecular Medicine. 94(3). 277–286. 15 indexed citations
12.
Quan, Juan‐Hua, Jiaqi Chu, Jaeyul Kwon, et al.. (2015). Intracellular Networks of the PI3K/AKT and MAPK Pathways for Regulating Toxoplasma gondii-Induced IL-23 and IL-12 Production in Human THP-1 Cells. PLoS ONE. 10(11). e0141550–e0141550. 31 indexed citations
13.
Quan, Juan‐Hua, Byung Hun Kang, Guang‐Ho Cha, et al.. (2014). Trichonomas vaginalis Metalloproteinase Induces Apoptosis of SiHa Cells through Disrupting the Mcl-1/Bim and Bcl-xL/Bim Complexes. PLoS ONE. 9(10). e110659–e110659. 14 indexed citations
14.
Kwon, Jaeyul, Cheng‐Kui Qu, Jin-Soo Maeng, et al.. (2005). Receptor‐stimulated oxidation of SHP‐2 promotes T‐cell adhesion through SLP‐76–ADAP. The EMBO Journal. 24(13). 2331–2341. 100 indexed citations
15.
Kim, Jae‐Ryong, Seung‐Hyun Cho, Jung‐Hyun Kim, et al.. (2004). Oxidation of thioredoxin reductase in HeLa cells stimulated with tumor necrosis factor‐α. FEBS Letters. 567(2-3). 189–196. 28 indexed citations
16.
Jackson, Sharon H., Satish Devadas, Jaeyul Kwon, Lígia A. Pinto, & Mark S. Williams. (2004). T cells express a phagocyte-type NADPH oxidase that is activated after T cell receptor stimulation. Nature Immunology. 5(8). 818–827. 386 indexed citations
17.
Kwon, Jaeyul, Satish Devadas, & Mark S. Williams. (2003). T cell receptor-stimulated generation of hydrogen peroxide inhibits MEK-ERK activation and lck serine phosphorylation. Free Radical Biology and Medicine. 35(4). 406–417. 65 indexed citations
18.
Davidson, Wendy F., Christian C. Haudenschild, Jaeyul Kwon, & Mark S. Williams. (2002). T Cell Receptor Ligation Triggers Novel Nonapoptotic Cell Death Pathways That Are Fas-Independent or Fas-Dependent. The Journal of Immunology. 169(11). 6218–6230. 35 indexed citations
19.
Yang, Kap‐Seok, et al.. (2002). Reversible Inactivation of the Tumor Suppressor PTEN by H2O2. Journal of Biological Chemistry. 277(23). 20336–20342. 863 indexed citations breakdown →
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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