Mesolimbic dopamine signals the value of work

526 indexed citations

Abstract

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About

This paper, published in 2015, received 526 indexed citations. Written by Arif Hamid, Jeffrey R. Pettibone, Omar S. Mabrouk, Vaughn L. Hetrick, Robert Schmidt, Caitlin M. Vander Weele, Robert T. Kennedy, Brandon J. Aragona and Joshua D. Berke covering the research area of Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. It is primarily cited by scholars working on Cellular and Molecular Neuroscience (336 citations), Cognitive Neuroscience (321 citations) and Molecular Biology (177 citations). Published in Nature Neuroscience.

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doi.org/10.1038/nn.4173 →

Countries where authors are citing Mesolimbic dopamine signals the value of work

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Citations

This map shows the geographic impact of Mesolimbic dopamine signals the value of work. 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 Mesolimbic dopamine signals the value of work with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mesolimbic dopamine signals the value of work more than expected).

Fields of papers citing Mesolimbic dopamine signals the value of work

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Mesolimbic dopamine signals the value of work. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Mesolimbic dopamine signals the value of work.

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/nn.4173.

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