Genome-Wide Evolutionary Analysis of Eukaryotic DNA Methylation

1.2k indexed citations

Abstract

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This paper, published in 2010, received 1.2k indexed citations. Written by Assaf Zemach and Daniel Zilberman covering the research area of Molecular Biology. It is primarily cited by scholars working on Molecular Biology (859 citations), Plant Science (511 citations) and Genetics (238 citations). Published in Science.

Countries where authors are citing Genome-Wide Evolutionary Analysis of Eukaryotic DNA Methylation

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Citations

This map shows the geographic impact of Genome-Wide Evolutionary Analysis of Eukaryotic DNA Methylation. 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 Genome-Wide Evolutionary Analysis of Eukaryotic DNA Methylation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genome-Wide Evolutionary Analysis of Eukaryotic DNA Methylation more than expected).

Fields of papers citing Genome-Wide Evolutionary Analysis of Eukaryotic DNA Methylation

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Genome-Wide Evolutionary Analysis of Eukaryotic DNA Methylation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Genome-Wide Evolutionary Analysis of Eukaryotic DNA Methylation.

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/10.1126/science.1186366.

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