A signature motif in transcriptional co-activators mediates binding to nuclear receptors
Impact in
- Molecular Biology 1.2k
- Genetics 1.1k
Classified as
- Journal
- Nature
In The Last Decade
doi.org/10.1038/42750 →Countries where authors are citing A signature motif in transcriptional co-activators mediates binding to nuclear receptors
This map shows the geographic impact of A signature motif in transcriptional co-activators mediates binding to nuclear receptors. 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 A signature motif in transcriptional co-activators mediates binding to nuclear receptors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A signature motif in transcriptional co-activators mediates binding to nuclear receptors more than expected).
Fields of papers citing A signature motif in transcriptional co-activators mediates binding to nuclear receptors
This network shows the impact of A signature motif in transcriptional co-activators mediates binding to nuclear receptors. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A signature motif in transcriptional co-activators mediates binding to nuclear receptors.
About A signature motif in transcriptional co-activators mediates binding to nuclear receptors
This paper, published in 1997, received 1.8k indexed citations . Written by David M. Heery, Eric Kalkhoven, Susan Hoare and Malcolm G. Parker covering the research area of Genetics, Molecular Biology and Cancer Research. It is primarily cited by scholars working on Molecular Biology (1.2k citations), Genetics (1.1k citations), Endocrinology, Diabetes and Metabolism (301 citations), Oncology (262 citations) and Immunology (182 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/10.1038/42750.