S Yei
Impact in
- Genetics top 10%
- Virus-based gene therapy research
- Hepatology top 10%
- Hepatitis C virus research
Papers in
-
- Hepatitis C virus research 2
- Genetics 4
- Virus-based gene therapy research 4
- Co-authors
- Nanette Mittereder (1 shared paper)Bruce C. Trapnell (2 shared papers)Maura Kadan (1 shared paper)Jung-Hwa Lim (1 shared paper)Mario I. Gorziglia (1 shared paper)Rajyalakshmi Luthra (1 shared paper)Jack R. Barber (2 shared papers)Meichen Yu (1 shared paper)
- Journals
- Gene Therapy (2 papers)American Journal of Respiratory Cell and Molecular Biology (1 paper)Transfusion (1 paper)Journal of Virology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesThailand
In The Last Decade
S Yei
9 papers receiving 612 citations
Peers
Comparison fields: 5 of 57
- Genetics 342
- Hepatology 79
- Infectious Diseases 128
- Molecular Biology 349
- Immunology 77
Countries citing papers authored by S Yei
This map shows the geographic impact of S Yei'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 Yei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Yei more than expected).
Fields of papers citing papers by S Yei
This network shows the impact of papers produced by S Yei. 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 Yei. The network helps show where S Yei may publish in the future.
Co-authors
The 24 scholars most cited alongside S Yei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 174 | |
| 2 | Adenovirus-mediated gene transfer for cystic fibrosis: quantitative evaluation of repeated in vivo vector administration to the lung. | 1994 | 168 |
| 3 | 1992 | 72 | |
| 4 | 1997 | 65 | |
| 5 | A potential therapeutic application of hairpin ribozymes: in vitro and in vivo studies of gene therapy for hepatitis C virus infection. | 1996 | 63 |
| 6 | 1994 | 46 | |
| 7 | 1992 | 40 | |
| 8 | 2002 | 27 | |
| 9 | 1993 | 6 |
About S Yei
S Yei is a scholar working on Hepatology, Genetics, Epidemiology, Molecular Biology and Biotechnology, having authored 9 papers that have together received 661 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (3 papers), Hepatitis B Virus Studies (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Hepatitis C virus research (2 papers), RNA and protein synthesis mechanisms (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Genetics (342 citations), Hepatology (79 citations), Infectious Diseases (128 citations), Molecular Biology (349 citations) and Immunology (77 citations). S Yei has collaborated with scholars based in United States and Thailand. Frequent co-authors include Nanette Mittereder, Bruce C. Trapnell, Maura Kadan, Jung-Hwa Lim, Mario I. Gorziglia, Rajyalakshmi Luthra, Jack R. Barber, Meichen Yu, Mark C. Leavitt and Mei Yu. Their work appears in journals such as Gene Therapy, American Journal of Respiratory Cell and Molecular Biology, Transfusion, Journal of Virology and Journal of Biological Chemistry.
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.