Electrogenerated Chemiluminescence Detection in Paper-Based Microfluidic Sensors
- Journal
- Analytical Chemistry
In The Last Decade
doi.org/10.1021/ac102392t →Countries where authors are citing Electrogenerated Chemiluminescence Detection in Paper-Based Microfluidic Sensors
This map shows the geographic impact of Electrogenerated Chemiluminescence Detection in Paper-Based Microfluidic Sensors. 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 Electrogenerated Chemiluminescence Detection in Paper-Based Microfluidic Sensors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Electrogenerated Chemiluminescence Detection in Paper-Based Microfluidic Sensors more than expected).
Fields of papers citing Electrogenerated Chemiluminescence Detection in Paper-Based Microfluidic Sensors
This network shows the impact of Electrogenerated Chemiluminescence Detection in Paper-Based Microfluidic Sensors. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Electrogenerated Chemiluminescence Detection in Paper-Based Microfluidic Sensors.
About Electrogenerated Chemiluminescence Detection in Paper-Based Microfluidic Sensors
This paper, published in 2011, received 496 indexed citations . Written by Conor F. Hogan, Junfei Tian and Wei Shen covering the research area of Molecular Biology and Biomedical Engineering. It is primarily cited by scholars working on Biomedical Engineering (439 citations), Molecular Biology (382 citations) and Electrical and Electronic Engineering (130 citations). Published in Analytical Chemistry.
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/ac102392t.