REV-ERB and ROR nuclear receptors as drug targets

415 indexed citations
published 2014

Countries where authors are citing REV-ERB and ROR nuclear receptors as drug targets

Specialization
Citations

This map shows the geographic impact of REV-ERB and ROR nuclear receptors as drug targets. 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 REV-ERB and ROR nuclear receptors as drug targets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites REV-ERB and ROR nuclear receptors as drug targets more than expected).

Fields of papers citing REV-ERB and ROR nuclear receptors as drug targets

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of REV-ERB and ROR nuclear receptors as drug targets. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the REV-ERB and ROR nuclear receptors as drug targets.

About REV-ERB and ROR nuclear receptors as drug targets

This paper, published in 2014, received 415 indexed citations . Written by Douglas J. Kojetin and Thomas P. Burris covering the research area of Organic Chemistry, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. It is primarily cited by scholars working on Endocrine and Autonomic Systems (184 citations), Molecular Biology (139 citations) and Physiology (123 citations). Published in Nature Reviews Drug Discovery.

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/nrd4100.

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