S S Yu
Impact in
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
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- CAR-T cell therapy research
Papers in
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- RNA Interference and Gene Delivery 3
- Viral Infectious Diseases and Gene Expression in Insects 3
- Ubiquitin and proteasome pathways 2
- Oncology 9
- Cancer-related Molecular Pathways 6
- CAR-T cell therapy research 3
- Co-authors
- Sujeong Kim (3 shared papers)Seungjin Shin (1 shared paper)Woong Hahn (3 shared papers)Jae‐Joon Yim (2 shared papers)Sung-Koo Kim (3 shared papers)Junichi Mineno (3 shared papers)Itaru Kato (3 shared papers)Rainer Buchholz (2 shared papers)
- Journals
- Gene Therapy (6 papers)Journal of Cellular Biochemistry (4 papers)Biochemistry and Cell Biology (2 papers)Cancer Gene Therapy (1 paper)Journal of General Virology (1 paper)
- Partner nations
- South KoreaJapanGermany
In The Last Decade
S S Yu
21 papers receiving 394 citations
Peers
Comparison fields: 5 of 61
- Immunology 110
- Oncology 127
- Genetics 130
- Immunology and Allergy 21
- Molecular Biology 159
Countries citing papers authored by S S Yu
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
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-authors
The 25 scholars most cited alongside S S Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 42 | |
| 2 | 2000 | 40 | |
| 3 | 2001 | 38 | |
| 4 | 2003 | 35 | |
| 5 | 2003 | 34 | |
| 6 | Analysis of the relative level of gene expression from different retroviral vectors used for gene therapy. | 1996 | 33 |
| 7 | 1996 | 29 | |
| 8 | 2008 | 26 | |
| 9 | 1999 | 25 | |
| 10 | 2004 | 16 | |
| 11 | 2008 | 15 | |
| 12 | 1998 | 14 | |
| 13 | 2016 | 12 | |
| 14 | 1999 | 11 | |
| 15 | 1999 | 7 | |
| 16 | 2000 | 7 | |
| 17 | 2000 | 5 | |
| 18 | 2001 | 4 | |
| 19 | 2001 | 4 | |
| 20 | 1997 | 3 |
About S S Yu
S S Yu is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Surgery, having authored 22 papers that have together received 402 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (3 papers), CAR-T cell therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Immunotherapy and Immune Responses (3 papers), Pancreatic function and diabetes (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Immunology (110 citations), Oncology (127 citations), Genetics (130 citations), Immunology and Allergy (21 citations) and Molecular Biology (159 citations). S S Yu has collaborated with scholars based in South Korea, Japan and Germany. Frequent co-authors include Sujeong Kim, Seungjin Shin, Woong Hahn, Jae‐Joon Yim, Sung-Koo Kim, Junichi Mineno, Itaru Kato, Rainer Buchholz, Hideto Chono and Hiroyoshi Nishikawa. Their work appears in journals such as Gene Therapy, Journal of Cellular Biochemistry, Biochemistry and Cell Biology, Cancer Gene Therapy and Journal of General Virology.
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.