Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae

1.1k indexed citations

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This paper, published in 2004, received 1.1k indexed citations. Written by Manolis Kellis, Bruce W. Birren and Eric S. Lander covering the research area of Molecular Biology and Plant Science. It is primarily cited by scholars working on Molecular Biology (955 citations), Plant Science (382 citations) and Genetics (232 citations). Published in Nature.

Countries where authors are citing Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae

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This map shows the geographic impact of Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae. 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 Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae more than expected).

Fields of papers citing Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae.

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/nature02424.

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