Neurobiology of Learning and Memory

3.1k papers and 115.8k indexed citations i.

About

The 3.1k papers published in Neurobiology of Learning and Memory in the last decades have received a total of 115.8k indexed citations. Papers published in Neurobiology of Learning and Memory usually cover Cognitive Neuroscience (2.1k papers), Cellular and Molecular Neuroscience (1.7k papers) and Behavioral Neuroscience (714 papers) specifically the topics of Memory and Neural Mechanisms (1.7k papers), Neuroscience and Neuropharmacology Research (1.4k papers) and Stress Responses and Cortisol (714 papers). The most active scholars publishing in Neurobiology of Learning and Memory are James L. McGaugh, Larry R. Squire, Benno Roozendaal, Mark G. Packard, Iván Izquierdo, Paul E. Gold, Raymond P. Kesner, Jorge H. Medina, Ann M. Graybiel and Norman M. Weinberger.

In The Last Decade

Fields of papers published in Neurobiology of Learning and Memory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Neurobiology of Learning and Memory. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Neurobiology of Learning and Memory.

Countries where authors publish in Neurobiology of Learning and Memory

Since Specialization
Citations

This map shows the geographic impact of research published in Neurobiology of Learning and Memory. 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 papers published in Neurobiology of Learning and Memory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neurobiology of Learning and Memory more than expected).

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.

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2025