Liposomes and polymersomes: a comparative review towards cell mimicking

842 indexed citations
published 2018

Countries where authors are citing Liposomes and polymersomes: a comparative review towards cell mimicking

Specialization
Citations

This map shows the geographic impact of Liposomes and polymersomes: a comparative review towards cell mimicking. 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 Liposomes and polymersomes: a comparative review towards cell mimicking with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liposomes and polymersomes: a comparative review towards cell mimicking more than expected).

Fields of papers citing Liposomes and polymersomes: a comparative review towards cell mimicking

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Liposomes and polymersomes: a comparative review towards cell mimicking. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Liposomes and polymersomes: a comparative review towards cell mimicking.

About Liposomes and polymersomes: a comparative review towards cell mimicking

This paper, published in 2018, received 842 indexed citations . Written by Emeline Rideau, Rumiana Dimova, Petra Schwille, Frederik R. Wurm and Katharina Landfester covering the research area of Molecular Biology and Biomaterials. It is primarily cited by scholars working on Molecular Biology (412 citations), Biomaterials (285 citations) and Biomedical Engineering (249 citations). Published in Chemical Society Reviews.

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/10.1039/c8cs00162f.

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