Linkage disequilibrium in finite populations

1.6k indexed citations
published 1968
Authors
William G. HillAlan Robertson
Journal
Theoretical and Applied Genetics

In The Last Decade

doi.org/10.1007/bf01245622 →

Countries where authors are citing Linkage disequilibrium in finite populations

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Citations

This map shows the geographic impact of Linkage disequilibrium in finite populations. 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 Linkage disequilibrium in finite populations with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linkage disequilibrium in finite populations more than expected).

Fields of papers citing Linkage disequilibrium in finite populations

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Linkage disequilibrium in finite populations. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Linkage disequilibrium in finite populations.

About Linkage disequilibrium in finite populations

This paper, published in 1968, received 1.6k indexed citations . Written by William G. Hill and Alan Robertson covering the research area of Genetics and Public Health, Environmental and Occupational Health. It is primarily cited by scholars working on Genetics (1.2k citations), Plant Science (465 citations) and Molecular Biology (370 citations). Published in Theoretical and Applied Genetics.

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/10.1007/bf01245622.

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