Rapid and selective induction of BDNF expression in the hippocampus during contextual learning
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- Nature Neuroscience
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doi.org/10.1038/75698 →Countries where authors are citing Rapid and selective induction of BDNF expression in the hippocampus during contextual learning
This map shows the geographic impact of Rapid and selective induction of BDNF expression in the hippocampus during contextual learning. 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 Rapid and selective induction of BDNF expression in the hippocampus during contextual learning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rapid and selective induction of BDNF expression in the hippocampus during contextual learning more than expected).
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This network shows the impact of Rapid and selective induction of BDNF expression in the hippocampus during contextual learning. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Rapid and selective induction of BDNF expression in the hippocampus during contextual learning.
About Rapid and selective induction of BDNF expression in the hippocampus during contextual learning
This paper, published in 2000, received 528 indexed citations . Written by Jérémy Hall, Kerrie L. Thomas and Barry J. Everitt covering the research area of Cellular and Molecular Neuroscience and Developmental Neuroscience. It is primarily cited by scholars working on Cellular and Molecular Neuroscience (347 citations), Developmental Neuroscience (199 citations) and Cognitive Neuroscience (153 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/10.1038/75698.