Evidence for coexistence of dopamine and CCK in meso-limbic neurones

600 indexed citations
published 1980

Countries where authors are citing Evidence for coexistence of dopamine and CCK in meso-limbic neurones

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Citations

This map shows the geographic impact of Evidence for coexistence of dopamine and CCK in meso-limbic neurones. 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 Evidence for coexistence of dopamine and CCK in meso-limbic neurones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evidence for coexistence of dopamine and CCK in meso-limbic neurones more than expected).

Fields of papers citing Evidence for coexistence of dopamine and CCK in meso-limbic neurones

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Evidence for coexistence of dopamine and CCK in meso-limbic neurones. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Evidence for coexistence of dopamine and CCK in meso-limbic neurones.

About Evidence for coexistence of dopamine and CCK in meso-limbic neurones

This paper, published in 1980, received 600 indexed citations . Written by Tomas Hökfelt, Jens F. Rehfeld, L.R. Skirboll, Biörn Ivemark, M. Goldstein and K. Markey covering the research area of Molecular Biology and Cellular and Molecular Neuroscience. It is primarily cited by scholars working on Cellular and Molecular Neuroscience (524 citations), Molecular Biology (367 citations) and Endocrine and Autonomic Systems (80 citations). Published in Nature.

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/10.1038/285476a0.

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