Seung-Jae Kim

902 total citations
18 papers, 739 citations indexed

About

Seung-Jae Kim is a scholar working on Immunology, Oncology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Seung-Jae Kim has authored 18 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Oncology and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Seung-Jae Kim's work include T-cell and Retrovirus Studies (4 papers), Rheumatoid Arthritis Research and Therapies (4 papers) and Vector-Borne Animal Diseases (4 papers). Seung-Jae Kim is often cited by papers focused on T-cell and Retrovirus Studies (4 papers), Rheumatoid Arthritis Research and Therapies (4 papers) and Vector-Borne Animal Diseases (4 papers). Seung-Jae Kim collaborates with scholars based in United States, South Korea and United Kingdom. Seung-Jae Kim's co-authors include Michael D. Lairmore, Shiva Shahrara, Shiva Arami, Michael V. Volin, Suncica Volkov, Zhenlong Chen, Wei Ding, Nathan D. Chamberlain, Nadera Sweiss and William Swedler and has published in prestigious journals such as Journal of Biological Chemistry, Immunity and The Journal of Immunology.

In The Last Decade

Seung-Jae Kim

18 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seung-Jae Kim United States 14 420 196 141 140 123 18 739
Anja Windhagen Germany 18 879 2.1× 130 0.7× 55 0.4× 44 0.3× 226 1.8× 32 1.3k
Yuji Kawano Japan 20 398 0.9× 234 1.2× 42 0.3× 43 0.3× 98 0.8× 39 1.3k
Azusa Tanaka Japan 20 176 0.4× 569 2.9× 70 0.5× 73 0.5× 102 0.8× 50 1.1k
Katsuhiko Ogawa Japan 15 179 0.4× 109 0.6× 138 1.0× 113 0.8× 108 0.9× 37 602
Wessel P. Dirksen United States 21 176 0.4× 575 2.9× 63 0.4× 61 0.4× 243 2.0× 43 1.1k
Gösta Roupe Sweden 19 520 1.2× 133 0.7× 70 0.5× 66 0.5× 46 0.4× 56 1.1k
Judith Field Australia 14 301 0.7× 138 0.7× 191 1.4× 5 0.0× 71 0.6× 26 802
Kaylan Fenton United States 9 75 0.2× 75 0.4× 31 0.2× 27 0.2× 74 0.6× 13 458
Maria Grazia Ruocco United States 10 890 2.1× 401 2.0× 31 0.2× 4 0.0× 356 2.9× 13 1.3k
William Coley United States 14 87 0.2× 532 2.7× 18 0.1× 15 0.1× 18 0.1× 16 766

Countries citing papers authored by Seung-Jae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seung-Jae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung-Jae Kim. 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 Seung-Jae Kim. The network helps show where Seung-Jae Kim may publish in the future.

Co-authorship network of co-authors of Seung-Jae Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Seung-Jae Kim. A scholar is included among the top collaborators of Seung-Jae Kim 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 Seung-Jae Kim. Seung-Jae Kim 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.
Kim, Seung-Jae, et al.. (2020). The effect of complex crack shape on crack driving forces and crack tip stress fields: Experiment and FE analysis. International Journal of Pressure Vessels and Piping. 185. 104135–104135. 4 indexed citations
3.
Kim, Seung-Jae, et al.. (2019). A numerical model to simulate ductile tearing-creep crack growth interaction. International Journal of Pressure Vessels and Piping. 175. 103920–103920. 2 indexed citations
4.
Moon, Hyung‐Geun, Seung-Jae Kim, Seon‐Sook Han, et al.. (2018). Airway Epithelial Cell-Derived Colony Stimulating Factor-1 Promotes Allergen Sensitization. Immunity. 49(2). 275–287.e5. 59 indexed citations
5.
Elshabrawy, Hatem A., Michael V. Volin, Zhenlong Chen, et al.. (2018). IL-11 facilitates a novel connection between RA joint fibroblasts and endothelial cells. Angiogenesis. 21(2). 215–228. 59 indexed citations
6.
Kim, Seung-Jae, et al.. (2017). Finite element analysis of vertical micro-probe considering Joule-heating effect. International Journal of Fatigue. 101. 96–105. 5 indexed citations
7.
Kim, Seung-Jae, Zhenlong Chen, Hatem A. Elshabrawy, et al.. (2016). Differential impact of obesity on the pathogenesis of RA or preclinical models is contingent on the disease status. Annals of the Rheumatic Diseases. 76(4). 731–739. 28 indexed citations
8.
Kang, Hye Suk, Mi‐Young Kim, Seung-Jae Kim, et al.. (2015). Regulation of IGFBP-2 expression during fasting. Biochemical Journal. 467(3). 453–460. 13 indexed citations
9.
Chen, Zhenlong, Seung-Jae Kim, Michael V. Volin, et al.. (2014). Characterising the expression and function of CCL28 and its corresponding receptor, CCR10, in RA pathogenesis. Annals of the Rheumatic Diseases. 74(10). 1898–1906. 47 indexed citations
10.
Kim, Seung-Jae, Zhenlong Chen, Nathan D. Chamberlain, et al.. (2014). Ligation of TLR5 Promotes Myeloid Cell Infiltration and Differentiation into Mature Osteoclasts in Rheumatoid Arthritis and Experimental Arthritis. The Journal of Immunology. 193(8). 3902–3913. 55 indexed citations
11.
Chen, Zhenlong, Seung-Jae Kim, Nathan D. Chamberlain, et al.. (2013). The Novel Role of IL-7 Ligation to IL-7 Receptor in Myeloid Cells of Rheumatoid Arthritis and Collagen-Induced Arthritis. The Journal of Immunology. 190(10). 5256–5266. 65 indexed citations
12.
Chamberlain, Nathan D., Seung-Jae Kim, Michael V. Volin, et al.. (2012). Ligation of TLR7 by rheumatoid arthritis synovial fluid single strand RNA induces transcription of TNFα in monocytes. Annals of the Rheumatic Diseases. 72(3). 418–426. 62 indexed citations
13.
Kong, Sinyi, Seung-Jae Kim, Sang‐Myeong Lee, et al.. (2011). The Type III Histone Deacetylase Sirt1 Protein Suppresses p300-mediated Histone H3 Lysine 56 Acetylation at Bclaf1 Promoter to Inhibit T Cell Activation. Journal of Biological Chemistry. 286(19). 16967–16975. 82 indexed citations
14.
Kim, Seung-Jae, et al.. (2006). Enhancement of LFA-1-Mediated T Cell Adhesion by Human T Lymphotropic Virus Type 1 p12I1. The Journal of Immunology. 176(9). 5463–5470. 49 indexed citations
15.
Kim, Seung-Jae, et al.. (2006). Electrophysiological Mapping of Cat Primary Auditory Cortex with Multielectrode Arrays. Annals of Biomedical Engineering. 34(2). 300–309. 28 indexed citations
16.
Hiraragi, Hajime, Seung-Jae Kim, Andrew J. Phipps, et al.. (2006). Human T-Lymphotropic Virus Type 1 Mitochondrion-Localizing Protein p13 II Is Required for Viral Infectivity In Vivo. Journal of Virology. 80(7). 3469–3476. 48 indexed citations
17.
Ding, Wei, Seung-Jae Kim, Bindhu Michael, et al.. (2003). Human T-Cell Lymphotropic Virus Type 1 p12 I Enhances Interleukin-2 Production during T-Cell Activation. Journal of Virology. 77(20). 11027–11039. 39 indexed citations
18.
Ding, Wei, Björn Albrecht, Robert E. Kelley, et al.. (2002). Human T-Cell Lymphotropic Virus Type 1 p12IExpression Increases Cytoplasmic Calcium To Enhance the Activation of Nuclear Factor of Activated T Cells. Journal of Virology. 76(20). 10374–10382. 86 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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