S.‐Ja Tseng
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
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- Nanoplatforms for cancer theranostics
Papers in
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- RNA Interference and Gene Delivery 14
- Advanced biosensing and bioanalysis techniques 6
- CRISPR and Genetic Engineering 2
- Genetics 11
- Virus-based gene therapy research 11
- Co-authors
- Ivan M. Kempson (14 shared papers)Pan‐Chyr Yang (11 shared papers)Zi‐Xian Liao (10 shared papers)Shiue–Cheng Tang (9 shared papers)Kuo‐Yen Huang (4 shared papers)Yi‐Fang Zeng (4 shared papers)Hsin‐Jung Li (3 shared papers)Yi‐Cheng Ho (2 shared papers)
- Journals
- Bioconjugate Chemistry (3 papers)Biomaterials (3 papers)Nanotechnology (3 papers)ACS Nano (2 papers)Drug Discovery Today (2 papers)
- Partner nations
- TaiwanAustraliaUnited States
In The Last Decade
S.‐Ja Tseng
27 papers receiving 715 citations
Peers
Comparison fields: 5 of 79
- Biomaterials 174
- Biomedical Engineering 253
- Biotechnology 46
- Cancer Research 71
- Genetics 138
Countries citing papers authored by S.‐Ja Tseng
This map shows the geographic impact of S.‐Ja Tseng'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.‐Ja Tseng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.‐Ja Tseng more than expected).
Fields of papers citing papers by S.‐Ja Tseng
This network shows the impact of papers produced by S.‐Ja Tseng. 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.‐Ja Tseng. The network helps show where S.‐Ja Tseng may publish in the future.
Co-authors
The 25 scholars most cited alongside S.‐Ja Tseng, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 98 | |
| 2 | 2018 | 75 | |
| 3 | 2013 | 38 | |
| 4 | 2019 | 38 | |
| 5 | 2016 | 37 | |
| 6 | 2012 | 37 | |
| 7 | 2005 | 36 | |
| 8 | 2021 | 35 | |
| 9 | 2006 | 29 | |
| 10 | 2007 | 28 | |
| 11 | 2011 | 26 | |
| 12 | 2022 | 25 | |
| 13 | 2007 | 23 | |
| 14 | 2013 | 22 | |
| 15 | 2013 | 20 | |
| 16 | 2009 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2008 | 17 | |
| 19 | 2006 | 17 | |
| 20 | 2008 | 15 |
About S.‐Ja Tseng
S.‐Ja Tseng is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Biomaterials and Oncology, having authored 28 papers that have together received 721 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (14 papers), Virus-based gene therapy research (11 papers), Advanced biosensing and bioanalysis techniques (6 papers), Nanoplatforms for cancer theranostics (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), CRISPR and Genetic Engineering (2 papers), Silk-based biomaterials and applications (2 papers) and Quantum Dots Synthesis And Properties (2 papers). The work is most often cited by research in Biomaterials (174 citations), Biomedical Engineering (253 citations), Biotechnology (46 citations), Cancer Research (71 citations) and Genetics (138 citations). S.‐Ja Tseng has collaborated with scholars based in Taiwan, Australia and United States. Frequent co-authors include Ivan M. Kempson, Pan‐Chyr Yang, Zi‐Xian Liao, Shiue–Cheng Tang, Kuo‐Yen Huang, Yi‐Fang Zeng, Hsin‐Jung Li, Yi‐Cheng Ho, Shuenn‐Chen Yang and Shih-Han Kao. Their work appears in journals such as Bioconjugate Chemistry, Biomaterials, Nanotechnology, ACS Nano and Drug Discovery Today.
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.