Biocompatible Graphene Oxide-Based Glucose Biosensors
- Journal
- Langmuir
In The Last Decade
doi.org/10.1021/la100886x →Countries where authors are citing Biocompatible Graphene Oxide-Based Glucose Biosensors
This map shows the geographic impact of Biocompatible Graphene Oxide-Based Glucose 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 Biocompatible Graphene Oxide-Based Glucose Biosensors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biocompatible Graphene Oxide-Based Glucose Biosensors more than expected).
Fields of papers citing Biocompatible Graphene Oxide-Based Glucose Biosensors
This network shows the impact of Biocompatible Graphene Oxide-Based Glucose Biosensors. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Biocompatible Graphene Oxide-Based Glucose Biosensors.
About Biocompatible Graphene Oxide-Based Glucose Biosensors
This paper, published in 2010, received 584 indexed citations . Written by Yong Liu, Dingshan Yu, Chao Zeng, Zongcheng Miao and Liming Dai covering the research area of Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Biomedical Engineering. It is primarily cited by scholars working on Biomedical Engineering (332 citations), Materials Chemistry (317 citations) and Electrical and Electronic Engineering (285 citations). Published in Langmuir.
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/la100886x.