Countries where authors publish in Evolutionary Bioinformatics
Since Specialization
Citations
This map shows the geographic impact of research published in Evolutionary Bioinformatics. 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 Evolutionary Bioinformatics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evolutionary Bioinformatics more than expected).
Fields of papers published in Evolutionary Bioinformatics
This network shows the impact of papers published in Evolutionary Bioinformatics. 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 Evolutionary Bioinformatics.
About Evolutionary Bioinformatics
The 564 papers published in Evolutionary Bioinformatics in the last decades have received a total of 17.8k indexed citations . Papers published in Evolutionary Bioinformatics usually cover Molecular Biology (409 papers), Genetics (141 papers), Paleontology (21 papers), Plant Science (94 papers) and Aging (4 papers) specifically the topics of Genomics and Phylogenetic Studies (211 papers), RNA and protein synthesis mechanisms (71 papers), Genetic diversity and population structure (68 papers), Bioinformatics and Genomic Networks (57 papers), Machine Learning in Bioinformatics (48 papers), RNA modifications and cancer (30 papers), Evolution and Genetic Dynamics (29 papers) and Chromosomal and Genetic Variations (28 papers). The most active scholars publishing in Evolutionary Bioinformatics are Laurent Excoffier, Stefan Schneider, Guillaume Laval, Daniel L. Rabosky, Daniel P. Faith, R. Henrik Nilsson, Karl-Henrik Larsson, Martin K. Ryberg, Erik Kristiansson and Nils Hallenberg.
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.