Tissue-specific expression and regulation of sexually dimorphic genes in mice

672 indexed citations

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This paper, published in 2006, received 672 indexed citations. Written by Xia Yang, Eric E. Schadt, Susanna Wang, Hui Wang, Arthur P. Arnold, Leslie Ingram-Drake, Thomas A. Drake and Aldons J. Lusis covering the research area of Genetics and Public Health, Environmental and Occupational Health. It is primarily cited by scholars working on Genetics (304 citations), Molecular Biology (263 citations) and Physiology (91 citations). Published in Genome Research.

Countries where authors are citing Tissue-specific expression and regulation of sexually dimorphic genes in mice

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This map shows the geographic impact of Tissue-specific expression and regulation of sexually dimorphic genes in mice. 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 Tissue-specific expression and regulation of sexually dimorphic genes in mice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tissue-specific expression and regulation of sexually dimorphic genes in mice more than expected).

Fields of papers citing Tissue-specific expression and regulation of sexually dimorphic genes in mice

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Tissue-specific expression and regulation of sexually dimorphic genes in mice. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Tissue-specific expression and regulation of sexually dimorphic genes in mice.

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/10.1101/gr.5217506.

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