Inferring the historical patterns of biological evolution

4.0k indexed citations
published 1999
Authors
Mark Pagel
Journal
Nature

In The Last Decade

doi.org/10.1038/44766 →

Countries where authors are citing Inferring the historical patterns of biological evolution

Specialization
Citations

This map shows the geographic impact of Inferring the historical patterns of biological 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 Inferring the historical patterns of biological evolution with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inferring the historical patterns of biological evolution more than expected).

Fields of papers citing Inferring the historical patterns of biological evolution

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Inferring the historical patterns of biological evolution. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Inferring the historical patterns of biological evolution.

About Inferring the historical patterns of biological evolution

This paper, published in 1999, received 4.0k indexed citations . Written by Mark Pagel covering the research area of Paleontology, Genetics and Molecular Biology. It is primarily cited by scholars working on Ecology, Evolution, Behavior and Systematics (2.0k citations), Ecology (1.3k citations) and Nature and Landscape Conservation (1.1k citations). Published in Nature.

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/10.1038/44766.

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