Brian C. Shonesy

27 total papers · 1.3k total citations
20 papers, 1.0k citations indexed

About

Brian C. Shonesy is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Brian C. Shonesy has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 8 papers in Pharmacology. Recurrent topics in Brian C. Shonesy's work include Neuroscience and Neuropharmacology Research (17 papers), Cannabis and Cannabinoid Research (7 papers) and Receptor Mechanisms and Signaling (4 papers). Brian C. Shonesy is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Cannabis and Cannabinoid Research (7 papers) and Receptor Mechanisms and Signaling (4 papers). Brian C. Shonesy collaborates with scholars based in United States, Germany and Russia. Brian C. Shonesy's co-authors include Roger Colbran, Sachin Patel, Danny G. Winder, Nidhi Jalan‐Sakrikar, Victoria S. Cavener, Lawrence J. Marnett, Vishnu Suppiramaniam, Daniel Hermanson, Kodeeswaran Parameshwaran and Muralikrishnan Dhanasekaran and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Brian C. Shonesy

20 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Brian C. Shonesy 562 408 294 209 181 20 1.0k
Rose Chesworth 505 0.9× 415 1.0× 290 1.0× 121 0.6× 141 0.8× 39 1.0k
Caroline Biojone 450 0.8× 380 0.9× 250 0.9× 141 0.7× 125 0.7× 37 1.1k
José Antonio López‐Moreno 563 1.0× 506 1.2× 269 0.9× 137 0.7× 129 0.7× 44 1.1k
Rita Báldi 667 1.2× 322 0.8× 221 0.8× 440 2.1× 153 0.8× 20 1.2k
Alberto J. Rico 609 1.1× 373 0.9× 396 1.3× 158 0.8× 105 0.6× 38 1.1k
Marja D. Sepers 754 1.3× 289 0.7× 503 1.7× 232 1.1× 127 0.7× 24 1.2k
Fuencisla Pilar-Cuéllar 610 1.1× 482 1.2× 298 1.0× 163 0.8× 128 0.7× 40 1.2k
Lianne Robinson 480 0.9× 480 1.2× 194 0.7× 392 1.9× 107 0.6× 28 979
Márton B. Dobszay 753 1.3× 302 0.7× 255 0.9× 270 1.3× 408 2.3× 13 1.2k
S Wendlandt 396 0.7× 343 0.8× 280 1.0× 160 0.8× 159 0.9× 20 1.2k

Countries citing papers authored by Brian C. Shonesy

Since Specialization
Citations

This map shows the geographic impact of Brian C. Shonesy's research. 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 Brian C. Shonesy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian C. Shonesy more than expected).

Fields of papers citing papers by Brian C. Shonesy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian C. Shonesy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brian C. Shonesy. The network helps show where Brian C. Shonesy may publish in the future.

Co-authorship network of co-authors of Brian C. Shonesy

This figure shows the co-authorship network connecting the top 25 collaborators of Brian C. Shonesy. A scholar is included among the top collaborators of Brian C. Shonesy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian C. Shonesy. Brian C. Shonesy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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