Pharmacological Reviews

1.5k papers and 342.0k indexed citations
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About

The 1.5k papers published in Pharmacological Reviews in the last decades have received a total of 342.0k indexed citations. Papers published in Pharmacological Reviews usually cover Molecular Biology (498 papers), Cellular and Molecular Neuroscience (288 papers) and Physiology (177 papers) specifically the topics of Receptor Mechanisms and Signaling (166 papers), Neuroscience and Neuropharmacology Research (114 papers) and Neuropeptides and Animal Physiology (82 papers). The most active scholars publishing in Pharmacological Reviews are Salvador Moncada, Richard Palmer, E.A. Higgs, Ting‐Chao Chou, Philip Seeman, Allan H. Conney, William A. Catterall, Werner Sieghart, Peter Holzer and Stephen S. G. Ferguson.

In The Last Decade

Pharmacological Reviews

1.2k papers receiving 279.1k citations

Fields of papers published in Pharmacological Reviews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Pharmacological Reviews. 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 Pharmacological Reviews.

Countries where authors publish in Pharmacological Reviews

Since Specialization
Citations

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