CREB required for the stability of new and reactivated fear memories
- Journal
- Nature Neuroscience
In The Last Decade
doi.org/10.1038/nn819 →Countries where authors are citing CREB required for the stability of new and reactivated fear memories
This map shows the geographic impact of CREB required for the stability of new and reactivated fear memories. 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 CREB required for the stability of new and reactivated fear memories with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CREB required for the stability of new and reactivated fear memories more than expected).
Fields of papers citing CREB required for the stability of new and reactivated fear memories
This network shows the impact of CREB required for the stability of new and reactivated fear memories. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the CREB required for the stability of new and reactivated fear memories.
About CREB required for the stability of new and reactivated fear memories
This paper, published in 2002, received 505 indexed citations . Written by Satoshi Kida, Sheena A. Josselyn, Sandra Peña de Ortı́z, Jeffrey H. Kogan, Shoichi Masushige and Alcino J. Silva covering the research area of Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. It is primarily cited by scholars working on Cellular and Molecular Neuroscience (349 citations), Cognitive Neuroscience (287 citations) and Molecular Biology (167 citations). Published in Nature Neuroscience.
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/nn819.