Prospects for whole-genome linkage disequilibrium mapping of common disease genes

1.1k indexed citations
published 1999

In The Last Decade

doi.org/10.1038/9642 →

Countries where authors are citing Prospects for whole-genome linkage disequilibrium mapping of common disease genes

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Citations

This map shows the geographic impact of Prospects for whole-genome linkage disequilibrium mapping of common disease genes. 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 Prospects for whole-genome linkage disequilibrium mapping of common disease genes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prospects for whole-genome linkage disequilibrium mapping of common disease genes more than expected).

Fields of papers citing Prospects for whole-genome linkage disequilibrium mapping of common disease genes

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Prospects for whole-genome linkage disequilibrium mapping of common disease genes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Prospects for whole-genome linkage disequilibrium mapping of common disease genes.

About Prospects for whole-genome linkage disequilibrium mapping of common disease genes

This paper, published in 1999, received 1.1k indexed citations . Written by Leonid Kruglyak covering the research area of Genetics and Molecular Biology. It is primarily cited by scholars working on Genetics (725 citations), Molecular Biology (459 citations) and Plant Science (101 citations). Published in Nature Genetics.

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/10.1038/9642.

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