Anionic Lipid Nanoparticles Preferentially Deliver mRNA to the Hepatic Reticuloendothelial System
- Journal
- Advanced Materials
In The Last Decade
doi.org/10.1002/adma.202201095 →Countries where authors are citing Anionic Lipid Nanoparticles Preferentially Deliver mRNA to the Hepatic Reticuloendothelial System
This map shows the geographic impact of Anionic Lipid Nanoparticles Preferentially Deliver mRNA to the Hepatic Reticuloendothelial System. 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 Anionic Lipid Nanoparticles Preferentially Deliver mRNA to the Hepatic Reticuloendothelial System with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anionic Lipid Nanoparticles Preferentially Deliver mRNA to the Hepatic Reticuloendothelial System more than expected).
Fields of papers citing Anionic Lipid Nanoparticles Preferentially Deliver mRNA to the Hepatic Reticuloendothelial System
This network shows the impact of Anionic Lipid Nanoparticles Preferentially Deliver mRNA to the Hepatic Reticuloendothelial System. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Anionic Lipid Nanoparticles Preferentially Deliver mRNA to the Hepatic Reticuloendothelial System.
About Anionic Lipid Nanoparticles Preferentially Deliver mRNA to the Hepatic Reticuloendothelial System
This paper, published in 2022, received 144 indexed citations . Written by Gabriela Arias‐Alpizar, Genc Basha, Karen Y. T. Chan, Jeroen Bussmann, Thomas H. Sharp, Mohammad‐Amin Moradi, Nico A. J. M. Sommerdijk, Edward N. Harris, Pieter R. Cullis and Alexander Kros covering the research area of Molecular Biology, Cancer Research and Animal Science and Zoology. It is primarily cited by scholars working on Molecular Biology (117 citations), Biomaterials (33 citations), Biomedical Engineering (27 citations), Immunology (17 citations) and Genetics (16 citations). Published in Advanced 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/adma.202201095.