Genome-wide association study of quantitative resistance to southern leaf blight in the maize nested association mapping population

Abstract

loading...

About

This paper, published in 1950, received 427 indexed citations. Written by Kristen L. Kump, Peter J. Bradbury, Randall J. Wisser, Edward S. Buckler, Araby R. Belcher, John C. Zwonitzer, Stephen Kresovich, Michael D. McMullen, Doreen Ware and Peter Balint‐Kurti covering the research area of Genetics and Plant Science. It is primarily cited by scholars working on Plant Science (386 citations), Genetics (267 citations) and Molecular Biology (71 citations). Published in Nature Genetics.

In The Last Decade

doi.org/10.1038/ng.747 →

Countries where authors are citing Genome-wide association study of quantitative resistance to southern leaf blight in the maize nested association mapping population

Since Specialization
Citations

This map shows the geographic impact of Genome-wide association study of quantitative resistance to southern leaf blight in the maize nested association mapping population. 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 Genome-wide association study of quantitative resistance to southern leaf blight in the maize nested association mapping population with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genome-wide association study of quantitative resistance to southern leaf blight in the maize nested association mapping population more than expected).

Fields of papers citing Genome-wide association study of quantitative resistance to southern leaf blight in the maize nested association mapping population

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Genome-wide association study of quantitative resistance to southern leaf blight in the maize nested association mapping population. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Genome-wide association study of quantitative resistance to southern leaf blight in the maize nested association mapping population.

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/ng.747.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026