Dan Wei
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 5%
- Nanoplatforms for cancer theranostics
- Biosensors and Analytical Detection
Papers in
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- Single-cell and spatial transcriptomics 3
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- Nanoplatforms for cancer theranostics 4
- Biosensors and Analytical Detection 3
- Co-authors
- Xunbin Wei (19 shared papers)Xiaoling Gao (4 shared papers)Jun Chen (3 shared papers)Qingxiang Song (3 shared papers)Jingxian Feng (2 shared papers)Tianze Jiang (2 shared papers)Ting Kang (2 shared papers)Hongzhuan Chen (2 shared papers)
- Journals
- Cytometry Part A (3 papers)Molecular and Cellular Biochemistry (2 papers)Advanced Functional Materials (2 papers)Biomedical Optics Express (2 papers)Journal of Controlled Release (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Dan Wei
60 papers receiving 1.4k citations
Dan Wei's Hit Papers
Peers
Comparison fields: 5 of 130
- Biomaterials 273
- Biomedical Engineering 605
- Immunology 209
- Genetics 73
- Molecular Biology 491
Countries citing papers authored by Dan Wei
This map shows the geographic impact of Dan Wei'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 Dan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wei more than expected).
Fields of papers citing papers by Dan Wei
This network shows the impact of papers produced by Dan Wei. 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 Dan Wei. The network helps show where Dan Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Wei, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nanoparticles Coated with Neutrophil Membranes Can Effectively Treat Cancer Metastasis Hit paper breakdown → | 2017 | 484 |
| 2 | 2019 | 91 | |
| 3 | 2020 | 74 | |
| 4 | 2016 | 69 | |
| 5 | 2017 | 66 | |
| 6 | 2017 | 51 | |
| 7 | 2016 | 50 | |
| 8 | 2022 | 41 | |
| 9 | 2013 | 37 | |
| 10 | 1994 | 33 | |
| 11 | 2014 | 24 | |
| 12 | 2018 | 23 | |
| 13 | 2016 | 21 | |
| 14 | 2015 | 20 | |
| 15 | 2019 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2017 | 19 | |
| 18 | 2019 | 17 | |
| 19 | 2014 | 16 | |
| 20 | 1992 | 16 |
About Dan Wei
Dan Wei is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Genetics and Hematology, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Mesenchymal stem cell research (6 papers), Viral Infections and Immunology Research (5 papers), Nanoplatforms for cancer theranostics (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Single-cell and spatial transcriptomics (3 papers), Biosensors and Analytical Detection (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). The work is most often cited by research in Biomaterials (273 citations), Biomedical Engineering (605 citations), Immunology (209 citations), Genetics (73 citations) and Molecular Biology (491 citations). Dan Wei has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Xunbin Wei, Xiaoling Gao, Jun Chen, Qingxiang Song, Jingxian Feng, Tianze Jiang, Ting Kang, Hongzhuan Chen, Qianqian Zhu and Yuanzhen Suo. Their work appears in journals such as Cytometry Part A, Molecular and Cellular Biochemistry, Advanced Functional Materials, Biomedical Optics Express and Journal of Controlled Release.
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.