Quantum dots in biomedical applications

459 indexed citations
published 2019

Countries where authors are citing Quantum dots in biomedical applications

Specialization
Citations

This map shows the geographic impact of Quantum dots in biomedical 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 Quantum dots in biomedical applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quantum dots in biomedical applications more than expected).

Fields of papers citing Quantum dots in biomedical applications

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Quantum dots in biomedical applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Quantum dots in biomedical applications.

About Quantum dots in biomedical applications

This paper, published in 2019, received 459 indexed citations . Written by Angela M. Wagner, Jennifer M. Knipe, Gorka Orive and Nicholas A. Peppas covering the research area of Molecular Biology and Materials Chemistry. It is primarily cited by scholars working on Materials Chemistry (270 citations), Biomedical Engineering (174 citations), Molecular Biology (157 citations), Biomaterials (80 citations) and Electrical and Electronic Engineering (57 citations). Published in Acta Biomaterialia.

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/10.1016/j.actbio.2019.05.022.

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