Target-enrichment strategies for next-generation sequencing

Abstract

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This paper, published in 1950, received 839 indexed citations. Written by Lira Mamanova, Alison J. Coffey, Clare L. Scott, Iwanka Kozarewa, Emily H. Turner, Akash Kumar, Eleanor Howard, Jay Shendure and Daniel J. Turner covering the research area of Molecular Biology. It is primarily cited by scholars working on Molecular Biology (541 citations), Genetics (349 citations) and Cancer Research (149 citations). Published in Nature Methods.

Countries where authors are citing Target-enrichment strategies for next-generation sequencing

Since Specialization
Citations

This map shows the geographic impact of Target-enrichment strategies for next-generation sequencing. 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 Target-enrichment strategies for next-generation sequencing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Target-enrichment strategies for next-generation sequencing more than expected).

Fields of papers citing Target-enrichment strategies for next-generation sequencing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Target-enrichment strategies for next-generation sequencing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Target-enrichment strategies for next-generation sequencing.

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/nmeth.1419.

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