Engineering Lipid Nanoparticles for Enhanced Intracellular Delivery of mRNA through Inhalation

169 indexed citations

Abstract

loading...

About

This paper, published in 2022, received 169 indexed citations. Written by Jeonghwan Kim, Antony Jozić, Yuxin Lin, Yulia Eygeris, Xiaochen Tan, Kelvin D. MacDonald, Kevin Welsher and Gaurav Sahay covering the research area of Molecular Biology and Pulmonary and Respiratory Medicine. It is primarily cited by scholars working on Molecular Biology (132 citations), Pulmonary and Respiratory Medicine (44 citations) and Infectious Diseases (25 citations). Published in ACS Nano.

Countries where authors are citing Engineering Lipid Nanoparticles for Enhanced Intracellular Delivery of mRNA through Inhalation

Specialization
Citations

This map shows the geographic impact of Engineering Lipid Nanoparticles for Enhanced Intracellular Delivery of mRNA through Inhalation. 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 Engineering Lipid Nanoparticles for Enhanced Intracellular Delivery of mRNA through Inhalation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Engineering Lipid Nanoparticles for Enhanced Intracellular Delivery of mRNA through Inhalation more than expected).

Fields of papers citing Engineering Lipid Nanoparticles for Enhanced Intracellular Delivery of mRNA through Inhalation

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Engineering Lipid Nanoparticles for Enhanced Intracellular Delivery of mRNA through Inhalation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Engineering Lipid Nanoparticles for Enhanced Intracellular Delivery of mRNA through Inhalation.

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/acsnano.2c05647.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026