FOXA1 is a key determinant of estrogen receptor function and endocrine response

Abstract

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About

This paper, published in 1950, received 620 indexed citations. Written by Antoni Hurtado, Kelly A. Holmes, Caryn S. Ross-Innes, Dominic Schmidt and Jason S. Carroll covering the research area of Molecular Biology and Genetics. It is primarily cited by scholars working on Molecular Biology (485 citations), Genetics (218 citations) and Oncology (179 citations). Published in Nature Genetics.

In The Last Decade

doi.org/10.1038/ng.730 →

Countries where authors are citing FOXA1 is a key determinant of estrogen receptor function and endocrine response

Since Specialization
Citations

This map shows the geographic impact of FOXA1 is a key determinant of estrogen receptor function and endocrine response. 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 FOXA1 is a key determinant of estrogen receptor function and endocrine response with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites FOXA1 is a key determinant of estrogen receptor function and endocrine response more than expected).

Fields of papers citing FOXA1 is a key determinant of estrogen receptor function and endocrine response

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of FOXA1 is a key determinant of estrogen receptor function and endocrine response. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the FOXA1 is a key determinant of estrogen receptor function and endocrine response.

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.730.

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