Byungsuk Kwon

3.9k total citations · 1 hit paper
86 papers, 3.0k citations indexed

About

Byungsuk Kwon is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Byungsuk Kwon has authored 86 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Immunology, 16 papers in Molecular Biology and 10 papers in Surgery. Recurrent topics in Byungsuk Kwon's work include Immune Cell Function and Interaction (33 papers), T-cell and B-cell Immunology (32 papers) and Immunotherapy and Immune Responses (28 papers). Byungsuk Kwon is often cited by papers focused on Immune Cell Function and Interaction (33 papers), T-cell and B-cell Immunology (32 papers) and Immunotherapy and Immune Responses (28 papers). Byungsuk Kwon collaborates with scholars based in South Korea, United States and Japan. Byungsuk Kwon's co-authors include Byoung S. Kwon, Su‐Kil Seo, Linda D. Hazlett, Juyang Kim, Hong R. Cho, Jian Ni, Kang-Yeol Yu, Byoung S. Kwon, Yifan Zhai and Reinhard Ebner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Byungsuk Kwon

83 papers receiving 3.0k citations

Hit Papers

Immune regulation through... 2023 2026 2024 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Byungsuk Kwon South Korea 30 2.0k 718 573 274 246 86 3.0k
Greg Elson Switzerland 27 1.9k 0.9× 787 1.1× 702 1.2× 394 1.4× 301 1.2× 53 3.1k
Shuhua Han United States 30 2.2k 1.1× 910 1.3× 522 0.9× 322 1.2× 295 1.2× 82 3.6k
Jennifer Major United States 26 1.5k 0.8× 893 1.2× 597 1.0× 305 1.1× 428 1.7× 37 2.9k
Kurt Bachmaier Canada 26 1.8k 0.9× 1.1k 1.5× 592 1.0× 309 1.1× 255 1.0× 32 3.1k
Ana M. Gamero United States 30 1.8k 0.9× 958 1.3× 856 1.5× 337 1.2× 267 1.1× 59 2.8k
Shao Bo Su China 28 1.4k 0.7× 1.1k 1.5× 459 0.8× 325 1.2× 213 0.9× 58 2.9k
Hun Sik Kim South Korea 24 1.8k 0.9× 573 0.8× 792 1.4× 286 1.0× 207 0.8× 55 2.8k
Susanne Ebner Austria 27 2.6k 1.3× 886 1.2× 676 1.2× 240 0.9× 137 0.6× 61 3.7k
Marko Pesu Finland 26 1.3k 0.6× 822 1.1× 1.0k 1.8× 272 1.0× 279 1.1× 62 3.1k
Annalisa Del Prete Italy 31 1.9k 0.9× 1.0k 1.4× 849 1.5× 406 1.5× 255 1.0× 64 3.3k

Countries citing papers authored by Byungsuk Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Byungsuk Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byungsuk Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Byungsuk Kwon. A scholar is included among the top collaborators of Byungsuk 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 Byungsuk Kwon. Byungsuk 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
2.
Kim, Min Soo, et al.. (2023). Efficacy and Safety of Early Anti-inflammatory Drug Therapy for Secondary Injury in Traumatic Brain Injury. World Neurosurgery. 172. e646–e654. 9 indexed citations
3.
Seo, Su‐Kil & Byungsuk Kwon. (2023). Immune regulation through tryptophan metabolism. Experimental & Molecular Medicine. 55(7). 1371–1379. 158 indexed citations breakdown →
4.
Park, Ha Young, Minji Kim, Won Hee Jang, et al.. (2022). Aryl hydrocarbon receptor–targeted therapy for CD4+ T cell–mediated idiopathic pneumonia syndrome in mice. Blood. 139(22). 3325–3339. 14 indexed citations
5.
Sul, Ok‐Joo, Jin Hyoung Kim, Taehoon Lee, et al.. (2022). GSPE Protects against Bleomycin‐Induced Pulmonary Fibrosis in Mice via Ameliorating Epithelial Apoptosis through Inhibition of Oxidative Stress. Oxidative Medicine and Cellular Longevity. 2022(1). 8200189–8200189. 24 indexed citations
7.
Park, Ha Young, Juyang Kim, Won Hee Jang, et al.. (2017). Inhibition of acute lethal pulmonary inflammation by the IDO–AhR pathway. Proceedings of the National Academy of Sciences. 114(29). E5881–E5890. 59 indexed citations
8.
Kim, Juyang, Hyeon‐Woo Lee, Su K. Seo, et al.. (2017). Anti-CD137 Suppresses Tumor Growth by Blocking Reverse Signaling by CD137 Ligand. Cancer Research. 77(21). 5989–6000. 35 indexed citations
9.
Seo, Kwang Won, Hye Jin Kim, Hye‐Jeong Choi, et al.. (2014). Depletion of Alloreactive T-Cells by Anti-CD137-Saporin Immunotoxin. Cell Transplantation. 24(6). 1167–1181. 4 indexed citations
10.
Kim, Juyang, Hong R. Cho, & Byungsuk Kwon. (2014). CD137 in Chronic Graft-Versus-Host Disease. Methods in molecular biology. 1155. 95–108. 4 indexed citations
11.
Kim, Juyang, Hyun Jong Kim, Jiyoung Kim, et al.. (2008). Breaking of CD8+ T Cell Tolerance through In Vivo Ligation of CD40 Results in Inhibition of Chronic Graft-versus-Host Disease and Complete Donor Cell Engraftment. The Journal of Immunology. 181(10). 7380–7389. 12 indexed citations
12.
Kim, Juyang, et al.. (2006). Prevention of chronic graft-versus-host disease by stimulation with glucocorticoid-induced TNF receptor. Experimental & Molecular Medicine. 38(1). 94–99. 12 indexed citations
13.
Kim, Jeong‐Eun, et al.. (2006). 4-1BB (CD137) signals depend upon CD28 signals in alloimmune responses. Experimental & Molecular Medicine. 38(6). 606–615. 2 indexed citations
14.
Kim, Juyang, et al.. (2006). Conversion of Alloantigen-Specific CD8+ T Cell Anergy to CD8+ T Cell Priming through In Vivo Ligation of Glucocorticoid-Induced TNF Receptor. The Journal of Immunology. 176(9). 5223–5231. 24 indexed citations
15.
Lee, Jeong Jin, Byungsuk Kwon, Byungsuk Kwon, et al.. (2004). Humanization of agonistic anti-human 4-1BB monoclonal antibody using a phage-displayed combinatorial library. Journal of Immunological Methods. 286(1-2). 187–201. 15 indexed citations
16.
Seo, Su K., Jae‐Hoon Choi, Won Yong Kim, et al.. (2003). Blocking 4-1BB/4-1BB Ligand Interactions Prevents Herpetic Stromal Keratitis. The Journal of Immunology. 171(2). 576–583. 52 indexed citations
17.
Kim, Juyang, et al.. (2003). Newly dentified members of the TNF recept or superfamily (mTNFRH1 and mTNFRH2) inhibit T-cell proliferation. Experimental & Molecular Medicine. 35(3). 154–159. 3 indexed citations
18.
Kwon, Byungsuk, et al.. (2002). New insights into the role of 4-1BB in immune responses: beyond CD8+ T cells. Trends in Immunology. 23(8). 378–380. 55 indexed citations
19.
Kim, Juyang, et al.. (2002). Herpes Simplex Virus Type 1 Glycoprotein D Inhibits T-Cell Proliferation. Molecules and Cells. 14(3). 398–403. 23 indexed citations
20.
Kwon, Byungsuk, et al.. (1997). Signals through 4-1BB are costimulatory to previously activated splenic T cells and inhibit activation-induced cell death. The Journal of Immunology. 158(6). 2600–2609. 208 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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