Superomniphobic Surfaces for Effective Chemical Shielding
In The Last Decade
doi.org/10.1021/ja310517s →Countries where authors are citing Superomniphobic Surfaces for Effective Chemical Shielding
This map shows the geographic impact of Superomniphobic Surfaces for Effective Chemical Shielding. 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 Superomniphobic Surfaces for Effective Chemical Shielding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Superomniphobic Surfaces for Effective Chemical Shielding more than expected).
Fields of papers citing Superomniphobic Surfaces for Effective Chemical Shielding
This network shows the impact of Superomniphobic Surfaces for Effective Chemical Shielding. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Superomniphobic Surfaces for Effective Chemical Shielding.
About Superomniphobic Surfaces for Effective Chemical Shielding
This paper, published in 2012, received 434 indexed citations . Written by Shuaijun Pan, Arun K. Kota, Joseph M. Mabry and Anish Tuteja covering the research area of Surfaces, Coatings and Films, Biomedical Engineering and Mechanics of Materials. It is primarily cited by scholars working on Surfaces, Coatings and Films (389 citations), Biomedical Engineering (189 citations) and Mechanics of Materials (145 citations). Published in Journal of the American Chemical Society.
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/ja310517s.