Wilson Poon
- Biomedical Engineering top 2%
- Biomaterials top 0.5%
- Molecular Biology top 10%
- Materials Chemistry top 10%
- Immunology top 5%
- Co-authors
- Warren C. W. ChanYi-Nan ZhangAnthony J. TavaresBen OuyangIan D. McGilvrayBenjamin R. KingstonWayne NgoJamie L. Y. Wu
- Topics
- Nanoparticle-Based Drug Delivery (10 papers)Nanoplatforms for cancer theranostics (5 papers)RNA Interference and Gene Delivery (4 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Wilson Poon
20 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Biomedical Engineering 1.3k
- Biomaterials 1.3k
- Molecular Biology 1.1k
- Materials Chemistry 618
- Immunology 431
Countries citing papers authored by Wilson Poon
This map shows the geographic impact of Wilson Poon'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 Wilson Poon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wilson Poon more than expected).
Fields of papers citing papers by Wilson Poon
This network shows the impact of papers produced by Wilson Poon. 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 Wilson Poon. The network helps show where Wilson Poon may publish in the future.
Co-authorship network of co-authors of Wilson Poon
This figure shows the co-authorship network connecting the top 25 collaborators of Wilson Poon. A scholar is included among the top collaborators of Wilson Poon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wilson Poon. Wilson Poon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | Engineered 3D Cardiovascular Tissue Models Within Dynamic Microfluidic Platforms for Personalized Medicine Applications. | 2 |
| 8 | 10 | |
| 9 | 2 | |
| 10 | A framework for designing delivery systemsbreakdown → | 422 |
| 11 | The dose threshold for nanoparticle tumour deliverybreakdown → | 412 |
| 12 | 40 | |
| 13 | 154 | |
| 14 | 242 | |
| 15 | Nanoparticle–liver interactions: Cellular uptake and hepatobiliary eliminationbreakdown → | 1050 |
| 16 | 31 | |
| 17 | 17 | |
| 18 | 12 | |
| 19 | 8 | |
| 20 | 6 |
About Wilson Poon
Wilson Poon is a scholar working on Biomaterials, Immunology and Allergy and Biomedical Engineering, having authored 21 papers that have together received 2.8k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (10 papers), Nanoplatforms for cancer theranostics (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Biomaterials (1.3k citations), Biomedical Engineering (1.3k citations) and Pharmaceutical Science (134 citations). Wilson Poon has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Warren C. W. Chan, Yi-Nan Zhang, Anthony J. Tavares, Ben Ouyang, Ian D. McGilvray, Benjamin R. Kingston, Wayne Ngo, Jamie L. Y. Wu, Stefan Wilhelm and Juan Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Materials and Nano Letters.
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.