Wei‐Ting Shen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
-
- Nanoparticle-Based Drug Delivery
Papers in
-
- Nanoplatforms for cancer theranostics 8
- Graphene and Nanomaterials Applications 4
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- Extracellular vesicles in disease 4
- RNA Interference and Gene Delivery 4
- Co-authors
- Li‐Han Lin (1 shared paper)Nai‐Wen Liang (1 shared paper)Joanne Kimiko Liu (1 shared paper)Yu‐Chung Liu (1 shared paper)Yi‐Hsuan Lin (1 shared paper)James J. Lai (1 shared paper)John J. Hill (1 shared paper)Katalin V. Korpany (1 shared paper)
- Journals
- ACS Nano (2 papers)Nano Letters (2 papers)Nanoscale (1 paper)Journal of the American Chemical Society (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Wei‐Ting Shen
18 papers receiving 658 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Cancer Research 192
- Biomaterials 84
- Molecular Biology 427
- Biomedical Engineering 192
- Immunology 68
Countries citing papers authored by Wei‐Ting Shen
This map shows the geographic impact of Wei‐Ting Shen'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 Wei‐Ting Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Ting Shen more than expected).
Fields of papers citing papers by Wei‐Ting Shen
This network shows the impact of papers produced by Wei‐Ting Shen. 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 Wei‐Ting Shen. The network helps show where Wei‐Ting Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Ting Shen, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Exosome Processing and Characterization Approaches for Research and Technology Development Hit paper breakdown → | 2022 | 394 |
| 2 | 2011 | 50 | |
| 3 | 2024 | 40 | |
| 4 | 2020 | 38 | |
| 5 | 2021 | 32 | |
| 6 | 2024 | 27 | |
| 7 | 2023 | 22 | |
| 8 | 2024 | 13 | |
| 9 | 2023 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2020 | 8 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Wei‐Ting Shen
Wei‐Ting Shen is a scholar working on Biomedical Engineering, Molecular Biology, Biomaterials, Materials Chemistry and Condensed Matter Physics, having authored 21 papers that have together received 666 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (8 papers), Nanoparticle-Based Drug Delivery (5 papers), Graphene and Nanomaterials Applications (4 papers), Extracellular vesicles in disease (4 papers), RNA Interference and Gene Delivery (4 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers) and Micro and Nano Robotics (2 papers). The work is most often cited by research in Cancer Research (192 citations), Biomaterials (84 citations), Molecular Biology (427 citations), Biomedical Engineering (192 citations) and Immunology (68 citations). Wei‐Ting Shen has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Li‐Han Lin, Nai‐Wen Liang, Joanne Kimiko Liu, Yu‐Chung Liu, Yi‐Hsuan Lin, James J. Lai, John J. Hill, Katalin V. Korpany, Shang‐Hsiu Hu and Weiwei Gao. Their work appears in journals such as ACS Nano, Nano Letters, Nanoscale, Journal of the American Chemical Society and Science Advances.
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.