Enzyme-Coated Carbon Nanotubes as Single-Molecule Biosensors
- Journal
- Nano Letters
In The Last Decade
doi.org/10.1021/nl034139u →Countries where authors are citing Enzyme-Coated Carbon Nanotubes as Single-Molecule Biosensors
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
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.
About Enzyme-Coated Carbon Nanotubes as Single-Molecule Biosensors
This paper, published in 2003, received 978 indexed citations . Written by K. Besteman, Jeong-O Lee, Frank Wiertz, Hendrik A. Heering and Cees Dekker covering the research area of Materials Chemistry, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. It is primarily cited by scholars working on Materials Chemistry (538 citations), Electrical and Electronic Engineering (469 citations) and Biomedical Engineering (412 citations). Published in Nano Letters.
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.