Supramolecular architectures generated by self-assembly of guanosine derivatives

591 indexed citations
published 2006

Countries where authors are citing Supramolecular architectures generated by self-assembly of guanosine derivatives

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Citations

This map shows the geographic impact of Supramolecular architectures generated by self-assembly of guanosine derivatives. 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 Supramolecular architectures generated by self-assembly of guanosine derivatives with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supramolecular architectures generated by self-assembly of guanosine derivatives more than expected).

Fields of papers citing Supramolecular architectures generated by self-assembly of guanosine derivatives

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Supramolecular architectures generated by self-assembly of guanosine derivatives. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Supramolecular architectures generated by self-assembly of guanosine derivatives.

About Supramolecular architectures generated by self-assembly of guanosine derivatives

This paper, published in 2006, received 591 indexed citations . Written by Jeffery T. Davis and Gian Piero Spada covering the research area of Molecular Biology and Spectroscopy. It is primarily cited by scholars working on Molecular Biology (340 citations), Biomaterials (205 citations) and Organic Chemistry (185 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/b600282j.

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