G3 Genes Genomes Genetics

4.0k papers and 68.5k indexed citations i.

About

The 4.0k papers published in G3 Genes Genomes Genetics in the last decades have received a total of 68.5k indexed citations. Papers published in G3 Genes Genomes Genetics usually cover Molecular Biology (2.3k papers), Genetics (1.5k papers) and Plant Science (1.4k papers) specifically the topics of Genetic Mapping and Diversity in Plants and Animals (671 papers), Genetic and phenotypic traits in livestock (504 papers) and Genomics and Phylogenetic Studies (424 papers). The most active scholars publishing in G3 Genes Genomes Genetics are José Crossa, William A. Cresko, Angel Amores, Julian Catchen, John H. Postlethwait, Paul A. Hohenlohe, Jean‐Luc Jannink, Bryan Howie, Matthew Stephens and Jonathan Marchini.

In The Last Decade

Fields of papers published in G3 Genes Genomes Genetics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in G3 Genes Genomes Genetics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in G3 Genes Genomes Genetics.

Countries where authors publish in G3 Genes Genomes Genetics

Since Specialization
Citations

This map shows the geographic impact of research published in G3 Genes Genomes Genetics. 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 papers published in G3 Genes Genomes Genetics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G3 Genes Genomes Genetics more than expected).

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.

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