Practical Chemical Sensors from Chemically Derived Graphene
- Journal
- ACS Nano
In The Last Decade
doi.org/10.1021/nn800593m →Countries where authors are citing Practical Chemical Sensors from Chemically Derived Graphene
This map shows the geographic impact of Practical Chemical Sensors from Chemically Derived Graphene. 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 Practical Chemical Sensors from Chemically Derived Graphene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Practical Chemical Sensors from Chemically Derived Graphene more than expected).
Fields of papers citing Practical Chemical Sensors from Chemically Derived Graphene
This network shows the impact of Practical Chemical Sensors from Chemically Derived Graphene. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Practical Chemical Sensors from Chemically Derived Graphene.
About Practical Chemical Sensors from Chemically Derived Graphene
This paper, published in 2009, received 1.2k indexed citations . Written by Jesse D. Fowler, Matthew J. Allen, Vincent Tung, Yang Yang, Richard B. Kaner and Bruce H. Weiller covering the research area of Materials Chemistry and Bioengineering. It is primarily cited by scholars working on Materials Chemistry (806 citations), Electrical and Electronic Engineering (773 citations) and Biomedical Engineering (434 citations). Published in ACS Nano.
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/nn800593m.