Yan Dou
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Nanoplatforms for cancer theranostics 10
- Biosensors and Analytical Detection 2
- Co-authors
- Jin Chang (15 shared papers)Xue Li (10 shared papers)Yanyan Guo (4 shared papers)Hanjie Wang (4 shared papers)Xuening Zhang (4 shared papers)Sheng Wang (3 shared papers)Xiaoqun Gong (3 shared papers)Lin Wang (1 shared paper)
- Journals
- ACS Nano (3 papers)ACS Applied Materials & Interfaces (3 papers)Journal of Materials Chemistry B (2 papers)Theranostics (2 papers)Nano Today (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Yan Dou
67 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 134
- Biomaterials 249
- Cancer Research 182
- Biomedical Engineering 549
- Biological Psychiatry 17
- Oncology 166
Countries citing papers authored by Yan Dou
This map shows the geographic impact of Yan Dou'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 Yan Dou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Dou more than expected).
Fields of papers citing papers by Yan Dou
This network shows the impact of papers produced by Yan Dou. 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 Yan Dou. The network helps show where Yan Dou may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Dou, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 249 | |
| 2 | 2018 | 176 | |
| 3 | 2018 | 82 | |
| 4 | 2018 | 73 | |
| 5 | 2016 | 71 | |
| 6 | 2015 | 65 | |
| 7 | 2015 | 52 | |
| 8 | 2018 | 44 | |
| 9 | 2024 | 44 | |
| 10 | 2022 | 38 | |
| 11 | 2023 | 33 | |
| 12 | 2016 | 32 | |
| 13 | 2021 | 32 | |
| 14 | 2021 | 27 | |
| 15 | 2018 | 25 | |
| 16 | 2017 | 24 | |
| 17 | 2018 | 22 | |
| 18 | 2023 | 22 | |
| 19 | 2020 | 22 | |
| 20 | 2022 | 21 |
About Yan Dou
Yan Dou is a scholar working on Biomedical Engineering, Molecular Biology, Physiology, Computer Vision and Pattern Recognition and Epidemiology, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (10 papers), Alzheimer's disease research and treatments (6 papers), Nanoparticle-Based Drug Delivery (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Biochemical effects in animals (3 papers), Advanced Nanomaterials in Catalysis (3 papers), Biosensors and Analytical Detection (2 papers) and Legionella and Acanthamoeba research (2 papers). The work is most often cited by research in Biomaterials (249 citations), Cancer Research (182 citations), Biomedical Engineering (549 citations), Biological Psychiatry (17 citations) and Oncology (166 citations). Yan Dou has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jin Chang, Xue Li, Yanyan Guo, Hanjie Wang, Xuening Zhang, Sheng Wang, Xiaoqun Gong, Lin Wang, Xiaodong Li and Menglin Wu. Their work appears in journals such as ACS Nano, ACS Applied Materials & Interfaces, Journal of Materials Chemistry B, Theranostics and Nano 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.