Focal adhesion kinase links mechanical force to skin fibrosis via inflammatory signaling

378 indexed citations

Abstract

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This paper, published in 2011, received 378 indexed citations. Written by Victor W. Wong, Kristine C. Rustad, Satoshi Akaishi, Michael Sorkin, Jason P. Glotzbach, Michael Januszyk, Emily R. Nelson, Kemal Levi, Josemaria Paterno and Ivan N. Vial covering the research area of Rehabilitation, Dermatology and Cell Biology. It is primarily cited by scholars working on Rehabilitation (150 citations), Cell Biology (124 citations) and Dermatology (96 citations). Published in Nature Medicine.

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Countries where authors are citing Focal adhesion kinase links mechanical force to skin fibrosis via inflammatory signaling

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This map shows the geographic impact of Focal adhesion kinase links mechanical force to skin fibrosis via inflammatory signaling. 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 Focal adhesion kinase links mechanical force to skin fibrosis via inflammatory signaling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Focal adhesion kinase links mechanical force to skin fibrosis via inflammatory signaling more than expected).

Fields of papers citing Focal adhesion kinase links mechanical force to skin fibrosis via inflammatory signaling

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Focal adhesion kinase links mechanical force to skin fibrosis via inflammatory signaling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Focal adhesion kinase links mechanical force to skin fibrosis via inflammatory signaling.

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/10.1038/nm.2574.

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