Wetting Transition from the Cassie–Baxter State to the Wenzel State on Textured Polymer Surfaces

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About

This paper, published in 1950, received 400 indexed citations. Written by Daiki Murakami, Hiroshi Jinnai and Atsushi Takahara covering the research area of Surfaces, Coatings and Films, Mechanics of Materials and Condensed Matter Physics. It is primarily cited by scholars working on Surfaces, Coatings and Films (260 citations), Biomedical Engineering (128 citations) and Electrical and Electronic Engineering (119 citations). Published in Langmuir.

Countries where authors are citing Wetting Transition from the Cassie–Baxter State to the Wenzel State on Textured Polymer Surfaces

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This map shows the geographic impact of Wetting Transition from the Cassie–Baxter State to the Wenzel State on Textured Polymer Surfaces. 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 Wetting Transition from the Cassie–Baxter State to the Wenzel State on Textured Polymer Surfaces with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wetting Transition from the Cassie–Baxter State to the Wenzel State on Textured Polymer Surfaces more than expected).

Fields of papers citing Wetting Transition from the Cassie–Baxter State to the Wenzel State on Textured Polymer Surfaces

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Wetting Transition from the Cassie–Baxter State to the Wenzel State on Textured Polymer Surfaces. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Wetting Transition from the Cassie–Baxter State to the Wenzel State on Textured Polymer Surfaces.

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/la4049067.

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