Journal of Molecular Evolution

4.7k papers and 256.1k indexed citations i.

About

The 4.7k papers published in Journal of Molecular Evolution in the last decades have received a total of 256.1k indexed citations. Papers published in Journal of Molecular Evolution usually cover Molecular Biology (3.4k papers), Genetics (1.3k papers) and Plant Science (816 papers) specifically the topics of Genomics and Phylogenetic Studies (1.5k papers), RNA and protein synthesis mechanisms (1.3k papers) and Genetic diversity and population structure (492 papers). The most active scholars publishing in Journal of Molecular Evolution are Makoto Kimura, Joseph Felsenstein, Ziheng Yang, Masami Hasegawa, Hirohisa Kishino, Taka-aki Yano, Allan C. Wilson, Wen‐Hsiung Li, Masatoshi Nei and Thomas D. Kocher.

In The Last Decade

Fields of papers published in Journal of Molecular Evolution

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Molecular Evolution. 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 Journal of Molecular Evolution.

Countries where authors publish in Journal of Molecular Evolution

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Molecular Evolution. 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 Journal of Molecular Evolution with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Molecular Evolution 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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