Byoung S. Kwon

9.0k total citations
157 papers, 7.6k citations indexed

About

Byoung S. Kwon is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Byoung S. Kwon has authored 157 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Immunology, 47 papers in Molecular Biology and 38 papers in Oncology. Recurrent topics in Byoung S. Kwon's work include Immune Cell Function and Interaction (40 papers), T-cell and B-cell Immunology (35 papers) and Immune Response and Inflammation (34 papers). Byoung S. Kwon is often cited by papers focused on Immune Cell Function and Interaction (40 papers), T-cell and B-cell Immunology (35 papers) and Immune Response and Inflammation (34 papers). Byoung S. Kwon collaborates with scholars based in United States, South Korea and Japan. Byoung S. Kwon's co-authors include S M Weissman, Ruth Halaban, Dass S. Vinay, Karen E. Pollok, Seymour H. Pomerantz, Michael Croft, Kack K. Kim, Richard T. Pickard, Byungsuk Kwon and David Barton 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

Byoung S. Kwon

157 papers receiving 7.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Byoung S. Kwon United States 50 4.3k 2.2k 1.9k 1.4k 846 157 7.6k
Susan R. Rittling United States 51 1.4k 0.3× 5.2k 2.4× 1.6k 0.9× 809 0.6× 405 0.5× 119 10.5k
Jean‐Paul Ortonne France 54 2.9k 0.7× 2.6k 1.2× 578 0.3× 4.5k 3.3× 1.3k 1.5× 140 9.9k
Carol Basbaum United States 50 1.5k 0.4× 3.6k 1.6× 1.0k 0.6× 548 0.4× 249 0.3× 131 8.1k
Donald C. Foster United States 43 1.4k 0.3× 2.2k 1.0× 742 0.4× 351 0.3× 938 1.1× 77 8.2k
Eugene Healy United Kingdom 39 745 0.2× 1.6k 0.7× 1.4k 0.7× 1.8k 1.3× 787 0.9× 112 5.5k
Maureen R. Horton United States 42 3.1k 0.7× 2.3k 1.1× 960 0.5× 1.3k 0.9× 94 0.1× 91 7.3k
Khashayarsha Khazaie United States 52 5.6k 1.3× 3.9k 1.8× 2.8k 1.5× 373 0.3× 133 0.2× 125 11.1k
Timothy F. Lane United States 44 1.1k 0.3× 4.6k 2.1× 2.0k 1.1× 688 0.5× 279 0.3× 69 8.9k
Christine J. Watson United Kingdom 50 1.1k 0.3× 3.3k 1.5× 3.3k 1.8× 440 0.3× 439 0.5× 113 7.1k
Tomoki Nakashima Japan 47 2.4k 0.6× 7.0k 3.2× 3.9k 2.1× 387 0.3× 281 0.3× 133 11.4k

Countries citing papers authored by Byoung S. Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Byoung S. Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byoung S. Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Byoung S. Kwon. A scholar is included among the top collaborators of Byoung S. 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 Byoung S. Kwon. Byoung S. 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, Seon-Hee, Rohit Kumar Singh, Chungyong Han, et al.. (2020). Chronic activation of 4-1BB signaling induces granuloma development in tumor-draining lymph nodes that is detrimental to subsequent CD8+ T cell responses. Cellular and Molecular Immunology. 18(8). 1956–1968. 11 indexed citations
3.
Rai, Rajani, Vishal Chandra, & Byoung S. Kwon. (2015). A Hyaluronic Acid-Rich Node and Duct System in Which Pluripotent Adult Stem Cells Circulate. Stem Cells and Development. 24(19). 2243–2258. 5 indexed citations
4.
Hwang, Sunhee, Seung Joon Lee, Sang H. Park, et al.. (2014). Nonmarrow Hematopoiesis Occurs in a Hyaluronic-Acid-Rich Node and Duct System in Mice. Stem Cells and Development. 23(21). 2661–2671. 20 indexed citations
5.
Sul, Ok‐Joo, et al.. (2008). Regulation of the murine TR2/HVEM gene expression by IRF. Biochemical and Biophysical Research Communications. 367(2). 277–283. 1 indexed citations
6.
Lee, Seungjoo, Robert J. Rossi, Sun‐Kyeong Lee, et al.. (2007). CD134 Costimulation Couples the CD137 Pathway to Induce Production of Supereffector CD8 T Cells That Become IL-7 Dependent. The Journal of Immunology. 179(4). 2203–2214. 48 indexed citations
7.
Heo, Sook‐Kyoung, Sang‐Chul Lee, Seong‐A Ju, et al.. (2007). HVEM Signaling in Monocytes Is Mediated by Intracellular Calcium Mobilization. The Journal of Immunology. 179(9). 6305–6310. 14 indexed citations
8.
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
9.
Son, Kyung‐No, et al.. (2005). Human CC chemokine CCL23 enhances expression of matrix metalloproteinase-2 and invasion of vascular endothelial cells. Biochemical and Biophysical Research Communications. 340(2). 498–504. 40 indexed citations
10.
Nam, Kyung‐Ok, et al.. (2005). Cross-Linking of 4-1BB Activates TCR-Signaling Pathways in CD8+ T Lymphocytes. The Journal of Immunology. 174(4). 1898–1905. 51 indexed citations
11.
Myers, Lara, Michael Croft, Byoung S. Kwon, Robert S. Mittler, & Anthony T. Vella. (2005). Peptide-Specific CD8 T Regulatory Cells Use IFN-γ to Elaborate TGF-β-Based Suppression. The Journal of Immunology. 174(12). 7625–7632. 88 indexed citations
12.
Shin, Hyun‐Hee, et al.. (2003). Soluble glucocorticoid-induced TNF receptor (sGITR) induces inflammation in mice. Experimental & Molecular Medicine. 35(5). 358–364. 14 indexed citations
13.
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
14.
Khlebnikov, Аndrei I., Igor A. Schepetkin, & Byoung S. Kwon. (2002). Modeling of the Anticancer Action for Radical Derivatives of Nitroazoles: Quantitative Structure-Activity Relationship (QSAR) Study. Cancer Biotherapy and Radiopharmaceuticals. 17(2). 193–203. 4 indexed citations
15.
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
16.
Kondabagil, Kiran & Byoung S. Kwon. (2001). Proteomics and microarrays in cancer research. Journal of Microbiology and Biotechnology. 11(6). 907–914. 2 indexed citations
17.
Kwon, Byoung S., et al.. (1999). Molecules of the Tumor Necrosis Factor(TNA) Receptor and Ligand Superfamilies: Endless Stories. BMB Reports. 32(5). 419–428. 2 indexed citations
18.
Wang, S, et al.. (1998). The Potential Roles of 4-IBB Costimulation in HIV Type 1 Infection. AIDS Research and Human Retroviruses. 14(3). 223–231. 48 indexed citations
19.
Koizumi, Hirotaka, Maria Fátima Horta, Byung‐S. Youn, et al.. (1993). Identification of a Killer Cell-Specific Regulatory Element of the Mouse Perforin Gene: an Ets-Binding Site-Homologous Motif That Interacts with Ets-Related Proteins. Molecular and Cellular Biology. 13(11). 6690–6701. 34 indexed citations
20.
Kwon, Byoung S., et al.. (1988). Sequence analysis of mouse tyrosinase cDNA and the effect of melanotropin on its gene expression. Biochemical and Biophysical Research Communications. 153(3). 1301–1309. 141 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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