S S Yu

489 total citations
22 papers, 402 citations indexed

About

S S Yu is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, S S Yu has authored 22 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Genetics. Recurrent topics in S S Yu's work include Virus-based gene therapy research (6 papers), Cancer-related Molecular Pathways (6 papers) and CAR-T cell therapy research (3 papers). S S Yu is often cited by papers focused on Virus-based gene therapy research (6 papers), Cancer-related Molecular Pathways (6 papers) and CAR-T cell therapy research (3 papers). S S Yu collaborates with scholars based in South Korea, Japan and Germany. S S Yu's co-authors include Sujeong Kim, Seungjin Shin, Jae‐Joon Yim, Woong Hahn, Yong Won Lee, Junichi Mineno, Itaru Kato, Sung-Koo Kim, Rainer Buchholz and Hideto Chono and has published in prestigious journals such as The Journal of Immunology, Journal of General Virology and Journal of Cellular Biochemistry.

In The Last Decade

S S Yu

21 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S S Yu South Korea 13 177 142 137 122 47 22 402
Seung Shin Yu South Korea 13 271 1.5× 192 1.4× 97 0.7× 77 0.6× 32 0.7× 21 452
Denis L’Abbé Canada 13 328 1.9× 113 0.8× 51 0.4× 119 1.0× 27 0.6× 20 635
Bo Luan United States 7 251 1.4× 69 0.5× 302 2.2× 142 1.2× 23 0.5× 8 540
Alessandra Ratto Italy 12 178 1.0× 186 1.3× 204 1.5× 68 0.6× 23 0.5× 27 688
H. Chong United Kingdom 10 294 1.7× 118 0.8× 223 1.6× 146 1.2× 52 1.1× 20 587
Stefan Thoma Germany 10 113 0.6× 85 0.6× 133 1.0× 359 2.9× 47 1.0× 15 515
André Paquin Canada 5 168 0.9× 112 0.8× 62 0.5× 163 1.3× 112 2.4× 7 400
Sam Wadsworth United States 11 283 1.6× 192 1.4× 82 0.6× 174 1.4× 47 1.0× 19 546
Lori Clarke United States 8 262 1.5× 168 1.2× 159 1.2× 144 1.2× 35 0.7× 9 456
Chantal Martinache France 9 372 2.1× 342 2.4× 239 1.7× 255 2.1× 72 1.5× 14 707

Countries citing papers authored by S S Yu

Since Specialization
Citations

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

Fields of papers citing papers by S S Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S S Yu

This figure shows the co-authorship network connecting the top 25 collaborators of S S Yu. A scholar is included among the top collaborators of S S Yu 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 S S Yu. S S Yu 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.
Hiasa, Atsunori, Hiroyoshi Nishikawa, Masahiro Hirayama, et al.. (2009). Rapid αβ TCR-mediated responses in γδ T cells transduced with cancer-specific TCR genes. Gene Therapy. 16(5). 620–628. 42 indexed citations
2.
Hiasa, Atsunori, Masaaki Hirayama, Hiroyoshi Nishikawa, et al.. (2008). Long-term phenotypic, functional and genetic stability of cancer-specific T-cell receptor (TCR) αβ genes transduced to CD8+ T cells. Gene Therapy. 15(9). 695–699. 15 indexed citations
3.
Yu, S S, Ikuei Nukaya, Tatsuji Enoki, et al.. (2008). In vivo persistence of genetically modified T cells generated ex vivo using the fibronectin CH296 stimulation method. Cancer Gene Therapy. 15(8). 508–516. 26 indexed citations
4.
Hahn, Woong, et al.. (2004). Viral vector-mediated transduction of a modified thrombospondin-2 cDNA inhibits tumor growth and angiogenesis. Gene Therapy. 11(9). 739–745. 16 indexed citations
5.
Kim, Young Ho, Jong-Keun Kim, Sang‐Woo Lee, et al.. (2003). The 10 - years follow up study on serum total cholesterol levels in normal Korean adult male workers living in Pohang. The Korean Journal of Internal Medicine. 65(6). 675–681. 1 indexed citations
6.
Kim, Sujeong, Woong Hahn, HJ Lee, et al.. (2003). Electro-gene therapy of collagen-induced arthritis by using an expression plasmid for the soluble p75 tumor necrosis factor receptor-Fc fusion protein. Gene Therapy. 10(15). 1216–1224. 34 indexed citations
8.
Yu, S S, et al.. (2001). Apoptosis induced by progesterone in human ovarian cancer cell line SNU‐840. Journal of Cellular Biochemistry. 82(3). 445–451. 39 indexed citations
9.
Yu, S S, et al.. (2001). Characterization of nuclear factors binding to AT-rich element in the rat p53 promoter. Journal of Cellular Biochemistry. 80(4). 580–588. 4 indexed citations
10.
Kim, Sung-Koo, et al.. (2001). Effect of collagen concentration on the viability and metabolic function of encapsulated hepatocytes. Journal of Microbiology and Biotechnology. 11(3). 423–427. 4 indexed citations
11.
Lee, Minhyung, S S Yu, & Jong‐Sang Park. (2000). Characterization of a nuclear factor that binds to AP1-like element in the rat p53 promoter during liver regeneration. Journal of Cellular Biochemistry. 80(1). 124–132. 5 indexed citations
12.
Yu, S S, et al.. (2000). High efficiency retroviral vectors that contain no viral coding sequences. Gene Therapy. 7(9). 797–804. 40 indexed citations
13.
Yu, S S, et al.. (2000). Biochemical characterization of a nuclear factor that binds to NF1-like elements in the rat p53 promoter. Journal of Cellular Biochemistry. 78(1). 1–7. 7 indexed citations
14.
Lee, Minhyung, et al.. (1999). A 40-kDa NF1-like protein, not YY1, binds to the rat p53 promoter for transactivation in various rat organs. Biochemistry and Cell Biology. 77(3). 209–214. 7 indexed citations
15.
Yu, S S, Rainer Buchholz, & Sung-Koo Kim. (1999). Encapsulation of rat hepatocyte spheroids for the development of artificial liver. Biotechnology Techniques. 13(9). 609–614. 11 indexed citations
16.
Kim, Sujeong, S S Yu, Im‐Soon Lee, et al.. (1999). Human cytomegalovirus IE1 protein activates AP-1 through a cellular protein kinase(s).. Journal of General Virology. 80(4). 961–969. 25 indexed citations
17.
Kim, Sung-Koo, et al.. (1998). Calculations on O2 transfer in capsules with animal cells for the determination of maximum capsule size without O2 limitation. Biotechnology Letters. 20(6). 549–552. 14 indexed citations
18.
Kim, Sung-Koo, et al.. (1997). Encapsulated animal cell culture for the production of monoclonal antibody (MAb). Biotechnology and Bioprocess Engineering. 2(2). 73–76. 3 indexed citations
19.
Kitani, Atsushi, Takemasa Matsuda, Baohui Xu, et al.. (1996). T cells bound by vascular cell adhesion molecule-1/CD106 in synovial fluid in rheumatoid arthritis: inhibitory role of soluble vascular cell adhesion molecule-1 in T cell activation. The Journal of Immunology. 156(6). 2300–2308. 29 indexed citations
20.
Byun, Jun Soo, et al.. (1996). Analysis of the relative level of gene expression from different retroviral vectors used for gene therapy.. PubMed. 3(9). 780–8. 33 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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