Mesoporous Silica Nanoparticles for Drug Delivery and Biosensing Applications
- Journal
- Advanced Functional Materials
In The Last Decade
doi.org/10.1002/adfm.200601191 →Countries where authors are citing Mesoporous Silica Nanoparticles for Drug Delivery and Biosensing Applications
This map shows the geographic impact of Mesoporous Silica Nanoparticles for Drug Delivery and Biosensing Applications. 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 Mesoporous Silica Nanoparticles for Drug Delivery and Biosensing Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mesoporous Silica Nanoparticles for Drug Delivery and Biosensing Applications more than expected).
Fields of papers citing Mesoporous Silica Nanoparticles for Drug Delivery and Biosensing Applications
This network shows the impact of Mesoporous Silica Nanoparticles for Drug Delivery and Biosensing Applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Mesoporous Silica Nanoparticles for Drug Delivery and Biosensing Applications.
About Mesoporous Silica Nanoparticles for Drug Delivery and Biosensing Applications
This paper, published in 2007, received 1.4k indexed citations . Written by Igor I. Slowing, Brian G. Trewyn, Supratim Giri and Victor S.-Y. Lin covering the research area of Materials Chemistry, Bioengineering and Biomaterials. It is primarily cited by scholars working on Materials Chemistry (799 citations), Biomaterials (525 citations) and Biomedical Engineering (457 citations). Published in Advanced Functional Materials.
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.
This paper is also available at doi.org/10.1002/adfm.200601191.