M. R. Fennessy

68 total papers · 1.1k total citations
63 papers, 911 citations indexed

About

M. R. Fennessy is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, M. R. Fennessy has authored 63 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cellular and Molecular Neuroscience, 26 papers in Physiology and 22 papers in Molecular Biology. Recurrent topics in M. R. Fennessy's work include Neurotransmitter Receptor Influence on Behavior (25 papers), Cannabis and Cannabinoid Research (14 papers) and Asthma and respiratory diseases (14 papers). M. R. Fennessy is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (25 papers), Cannabis and Cannabinoid Research (14 papers) and Asthma and respiratory diseases (14 papers). M. R. Fennessy collaborates with scholars based in Australia, United Kingdom and Switzerland. M. R. Fennessy's co-authors include David A. Taylor, Jung Ryeol Lee, Alastair G. Stewart, M. J. Rand, D. C. Thompson, Stephen J. Lewis, Jeong Rim Lee, Gary P. Anderson, Anthony J.M. Verberne and L. G. Howes and has published in prestigious journals such as The Lancet, Trends in Pharmacological Sciences and British Journal of Pharmacology.

In The Last Decade

M. R. Fennessy

63 papers receiving 833 citations

Author Peers

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

Author Last Decade Papers Cites
M. R. Fennessy 449 329 266 261 72 63 911
Joanna Listos 387 0.9× 169 0.5× 375 1.4× 135 0.5× 53 0.7× 49 1.1k
Carlos Goicoechea 333 0.7× 519 1.6× 320 1.2× 340 1.3× 33 0.5× 78 1.2k
James L. Perhach 201 0.4× 291 0.9× 217 0.8× 236 0.9× 84 1.2× 40 1.2k
William R. Ford 203 0.5× 242 0.7× 280 1.1× 311 1.2× 109 1.5× 59 1.0k
Carmela Belardo 290 0.6× 448 1.4× 270 1.0× 396 1.5× 28 0.4× 40 1.1k
Takeo Fukuda 466 1.0× 222 0.7× 289 1.1× 221 0.8× 25 0.3× 80 1.2k
W. Schaumann 297 0.7× 228 0.7× 318 1.2× 118 0.5× 69 1.0× 90 1.1k
Nick M. Clayton 383 0.9× 425 1.3× 288 1.1× 532 2.0× 48 0.7× 43 1.2k
Toshikatsu Nakashima 428 1.0× 224 0.7× 490 1.8× 108 0.4× 35 0.5× 61 1.1k
Magdalena Bujalska‐Zadrożny 253 0.6× 380 1.2× 271 1.0× 184 0.7× 35 0.5× 107 1.0k

Countries citing papers authored by M. R. Fennessy

Since Specialization
Citations

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

Fields of papers citing papers by M. R. Fennessy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. R. Fennessy. 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 M. R. Fennessy. The network helps show where M. R. Fennessy may publish in the future.

Co-authorship network of co-authors of M. R. Fennessy

This figure shows the co-authorship network connecting the top 25 collaborators of M. R. Fennessy. A scholar is included among the top collaborators of M. R. Fennessy 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 M. R. Fennessy. M. R. Fennessy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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