Enzyme-Coated Carbon Nanotubes as Single-Molecule Biosensors

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This paper, published in 1950, received 977 indexed citations. Written by K. Besteman, Jeong-O Lee, Frank Wiertz, Hendrik A. Heering and Cees Dekker covering the research area of Materials Chemistry, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. It is primarily cited by scholars working on Materials Chemistry (538 citations), Electrical and Electronic Engineering (468 citations) and Biomedical Engineering (413 citations). Published in Nano Letters.

Countries where authors are citing Enzyme-Coated Carbon Nanotubes as Single-Molecule Biosensors

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This map shows the geographic impact of Enzyme-Coated Carbon Nanotubes as Single-Molecule Biosensors. 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 Enzyme-Coated Carbon Nanotubes as Single-Molecule Biosensors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enzyme-Coated Carbon Nanotubes as Single-Molecule Biosensors more than expected).

Fields of papers citing Enzyme-Coated Carbon Nanotubes as Single-Molecule Biosensors

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Enzyme-Coated Carbon Nanotubes as Single-Molecule Biosensors. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Enzyme-Coated Carbon Nanotubes as Single-Molecule Biosensors.

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/nl034139u.

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