A Unified Approach to Surface-Enhanced Raman Spectroscopy
- Molecular Biology
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics
- Authors
- John R. LombardiRonald L. Birke
In The Last Decade
doi.org/10.1021/jp800167v →Countries where authors are citing A Unified Approach to Surface-Enhanced Raman Spectroscopy
This map shows the geographic impact of A Unified Approach to Surface-Enhanced Raman Spectroscopy. 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 A Unified Approach to Surface-Enhanced Raman Spectroscopy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Unified Approach to Surface-Enhanced Raman Spectroscopy more than expected).
Fields of papers citing A Unified Approach to Surface-Enhanced Raman Spectroscopy
This network shows the impact of A Unified Approach to Surface-Enhanced Raman Spectroscopy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A Unified Approach to Surface-Enhanced Raman Spectroscopy.
About A Unified Approach to Surface-Enhanced Raman Spectroscopy
This paper, published in 2008, received 760 indexed citations . Written by John R. Lombardi and Ronald L. Birke covering the research area of Molecular Biology, Electronic, Optical and Magnetic Materials and Atomic and Molecular Physics, and Optics. It is primarily cited by scholars working on Electronic, Optical and Magnetic Materials (612 citations), Materials Chemistry (405 citations) and Biomedical Engineering (226 citations). Published in The Journal of Physical Chemistry C.
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/jp800167v.