Lin Wu
Impact in
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 5%
- Nanoplatforms for cancer theranostics
- Graphene and Nanomaterials Applications
Papers in
- Biomaterials 29
- Nanoparticle-Based Drug Delivery 26
-
- Nanoplatforms for cancer theranostics 24
- Co-authors
- Song Shen (40 shared papers)Yanru Ge (14 shared papers)Xueyong Qi (23 shared papers)Jin Cao (20 shared papers)Haijun Shen (3 shared papers)Yi Jin (3 shared papers)Meng Xie (3 shared papers)Qunwei Xu (4 shared papers)
- Journals
- Colloids and Surfaces B Biointerfaces (5 papers)Chemistry Letters (5 papers)ACS Applied Nano Materials (4 papers)Biomaterials (3 papers)Journal of Materials Chemistry B (3 papers)
- Partner nations
- ChinaCzechiaUnited States
In The Last Decade
Lin Wu
76 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 128
- Biomaterials 702
- Biomedical Engineering 905
- Renewable Energy, Sustainability and the Environment 238
- Pharmaceutical Science 76
- Materials Chemistry 516
Countries citing papers authored by Lin Wu
This map shows the geographic impact of Lin Wu'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 Lin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Wu more than expected).
Fields of papers citing papers by Lin Wu
This network shows the impact of papers produced by Lin Wu. 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 Lin Wu. The network helps show where Lin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Wu, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 146 | |
| 2 | 2015 | 138 | |
| 3 | 2022 | 116 | |
| 4 | 2015 | 103 | |
| 5 | 2020 | 92 | |
| 6 | 2021 | 92 | |
| 7 | 2021 | 86 | |
| 8 | 2014 | 85 | |
| 9 | 2018 | 79 | |
| 10 | 2020 | 75 | |
| 11 | 2014 | 69 | |
| 12 | 2018 | 67 | |
| 13 | 2019 | 59 | |
| 14 | 2017 | 55 | |
| 15 | 2013 | 54 | |
| 16 | 2017 | 51 | |
| 17 | 2013 | 48 | |
| 18 | 2019 | 45 | |
| 19 | 2022 | 44 | |
| 20 | 2020 | 44 |
About Lin Wu
Lin Wu is a scholar working on Biomaterials, Biomedical Engineering, Molecular Biology, Materials Chemistry and Mechanical Engineering, having authored 77 papers that have together received 2.1k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (26 papers), Nanoplatforms for cancer theranostics (24 papers), RNA Interference and Gene Delivery (8 papers), Extracellular vesicles in disease (8 papers), Gold and Silver Nanoparticles Synthesis and Applications (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Ferroptosis and cancer prognosis (5 papers) and Nanoparticles: synthesis and applications (5 papers). The work is most often cited by research in Biomaterials (702 citations), Biomedical Engineering (905 citations), Renewable Energy, Sustainability and the Environment (238 citations), Pharmaceutical Science (76 citations) and Materials Chemistry (516 citations). Lin Wu has collaborated with scholars based in China, Czechia and United States. Frequent co-authors include Song Shen, Yanru Ge, Xueyong Qi, Jin Cao, Haijun Shen, Yi Jin, Meng Xie, Qunwei Xu, Hongliang Xin and Wen Wen. Their work appears in journals such as Colloids and Surfaces B Biointerfaces, Chemistry Letters, ACS Applied Nano Materials, Biomaterials and Journal of Materials Chemistry B.
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.