Learning & Memory

2.1k papers and 111.5k indexed citations i.

About

The 2.1k papers published in Learning & Memory in the last decades have received a total of 111.5k indexed citations. Papers published in Learning & Memory usually cover Cognitive Neuroscience (1.4k papers), Cellular and Molecular Neuroscience (1.3k papers) and Molecular Biology (374 papers) specifically the topics of Memory and Neural Mechanisms (1.2k papers), Neuroscience and Neuropharmacology Research (987 papers) and Stress Responses and Cortisol (349 papers). The most active scholars publishing in Learning & Memory are Mark E. Bouton, Larry R. Squire, Susan J. Sara, Stephen Maren, Bai Lu, Elizabeth F. Loftus, Randolf Menzel, Eric R. Kandel, Joseph E. LeDoux and Martin Heisenberg.

In The Last Decade

Fields of papers published in Learning & Memory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Learning & 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 Learning & Memory.

Countries where authors publish in Learning & Memory

Since Specialization
Citations

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

Explore journals with similar magnitude of impact

Rankless by CCL
2025