Lgr5 marks cycling, yet long-lived, hair follicle stem cells

758 indexed citations

Abstract

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About

This paper, published in 2008, received 758 indexed citations. Written by Viljar Jaks, Nick Barker, Maria Kasper, Johan H. van Es, Hugo J.G. Snippert, Hans Clevers and Rune Toftgård covering the research area of Molecular Biology, Urology and Developmental Neuroscience. It is primarily cited by scholars working on Molecular Biology (429 citations), Urology (275 citations) and Oncology (235 citations). Published in Nature Genetics.

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doi.org/10.1038/ng.239 →

Countries where authors are citing Lgr5 marks cycling, yet long-lived, hair follicle stem cells

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Citations

This map shows the geographic impact of Lgr5 marks cycling, yet long-lived, hair follicle stem cells. 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 Lgr5 marks cycling, yet long-lived, hair follicle stem cells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lgr5 marks cycling, yet long-lived, hair follicle stem cells more than expected).

Fields of papers citing Lgr5 marks cycling, yet long-lived, hair follicle stem cells

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Lgr5 marks cycling, yet long-lived, hair follicle stem cells. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Lgr5 marks cycling, yet long-lived, hair follicle stem cells.

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/ng.239.

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