Nucleic Acid–Metal Organic Framework (MOF) Nanoparticle Conjugates

423 indexed citations
published 2014

Countries where authors are citing Nucleic Acid–Metal Organic Framework (MOF) Nanoparticle Conjugates

Specialization
Citations

This map shows the geographic impact of Nucleic Acid–Metal Organic Framework (MOF) Nanoparticle Conjugates. 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 Nucleic Acid–Metal Organic Framework (MOF) Nanoparticle Conjugates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nucleic Acid–Metal Organic Framework (MOF) Nanoparticle Conjugates more than expected).

Fields of papers citing Nucleic Acid–Metal Organic Framework (MOF) Nanoparticle Conjugates

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Nucleic Acid–Metal Organic Framework (MOF) Nanoparticle Conjugates. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Nucleic Acid–Metal Organic Framework (MOF) Nanoparticle Conjugates.

About Nucleic Acid–Metal Organic Framework (MOF) Nanoparticle Conjugates

This paper, published in 2014, received 423 indexed citations . Written by William Morris, William E. Briley, Evelyn Auyeung, Maria D. Cabezas and Chad A. Mirkin covering the research area of Oncology, Inorganic Chemistry and Polymers and Plastics. It is primarily cited by scholars working on Inorganic Chemistry (298 citations), Materials Chemistry (205 citations) and Biomedical Engineering (148 citations). Published in Journal of the American Chemical Society.

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/ja503215w.

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