Surface Plasmon Resonance Sensors for Detection of Chemical and Biological Species
- Authors
- Jiřı́ Homola
- Journal
- Chemical Reviews
In The Last Decade
doi.org/10.1021/cr068107d →Countries where authors are citing Surface Plasmon Resonance Sensors for Detection of Chemical and Biological Species
This map shows the geographic impact of Surface Plasmon Resonance Sensors for Detection of Chemical and Biological Species. 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 Surface Plasmon Resonance Sensors for Detection of Chemical and Biological Species with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surface Plasmon Resonance Sensors for Detection of Chemical and Biological Species more than expected).
Fields of papers citing Surface Plasmon Resonance Sensors for Detection of Chemical and Biological Species
This network shows the impact of Surface Plasmon Resonance Sensors for Detection of Chemical and Biological Species. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Surface Plasmon Resonance Sensors for Detection of Chemical and Biological Species.
About Surface Plasmon Resonance Sensors for Detection of Chemical and Biological Species
This paper, published in 2008, received 3.4k indexed citations . Written by Jiřı́ Homola covering the research area of Molecular Biology and Biomedical Engineering. It is primarily cited by scholars working on Biomedical Engineering (2.5k citations), Molecular Biology (1.5k citations) and Electrical and Electronic Engineering (1.3k citations). Published in Chemical Reviews.
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/cr068107d.