Patterning Self-Assembled Monolayers: Applications in Materials Science
- Biomedical Engineering
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics
- Journal
- Langmuir
In The Last Decade
doi.org/10.1021/la00017a030 →Countries where authors are citing Patterning Self-Assembled Monolayers: Applications in Materials Science
This map shows the geographic impact of Patterning Self-Assembled Monolayers: Applications in Materials Science. 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 Patterning Self-Assembled Monolayers: Applications in Materials Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patterning Self-Assembled Monolayers: Applications in Materials Science more than expected).
Fields of papers citing Patterning Self-Assembled Monolayers: Applications in Materials Science
This network shows the impact of Patterning Self-Assembled Monolayers: Applications in Materials Science. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Patterning Self-Assembled Monolayers: Applications in Materials Science.
About Patterning Self-Assembled Monolayers: Applications in Materials Science
This paper, published in 1994, received 928 indexed citations . Written by Amit Kumar, Hans A. Biebuyck and George M. Whitesides covering the research area of Biomedical Engineering, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. It is primarily cited by scholars working on Biomedical Engineering (559 citations), Electrical and Electronic Engineering (504 citations) and Atomic and Molecular Physics, and Optics (268 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/la00017a030.