Virus-Inspired Membrane Encapsulation of DNA Nanostructures To Achieve In Vivo Stability

423 indexed citations

Abstract

loading...

About

This paper, published in 2014, received 423 indexed citations. Written by Steven D. Perrault and William M. Shih covering the research area of Molecular Biology and Ecology. It is primarily cited by scholars working on Molecular Biology (401 citations), Biomedical Engineering (123 citations) and Ecology (72 citations). Published in ACS Nano.

Countries where authors are citing Virus-Inspired Membrane Encapsulation of DNA Nanostructures To Achieve In Vivo Stability

Specialization
Citations

This map shows the geographic impact of Virus-Inspired Membrane Encapsulation of DNA Nanostructures To Achieve In Vivo Stability. 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 Virus-Inspired Membrane Encapsulation of DNA Nanostructures To Achieve In Vivo Stability with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virus-Inspired Membrane Encapsulation of DNA Nanostructures To Achieve In Vivo Stability more than expected).

Fields of papers citing Virus-Inspired Membrane Encapsulation of DNA Nanostructures To Achieve In Vivo Stability

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Virus-Inspired Membrane Encapsulation of DNA Nanostructures To Achieve In Vivo Stability. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Virus-Inspired Membrane Encapsulation of DNA Nanostructures To Achieve In Vivo Stability.

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/10.1021/nn5011914.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026