Lisa M. McFadden

48 total papers · 922 total citations
37 papers, 728 citations indexed

About

Lisa M. McFadden is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Lisa M. McFadden has authored 37 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cellular and Molecular Neuroscience, 16 papers in Molecular Biology and 7 papers in Behavioral Neuroscience. Recurrent topics in Lisa M. McFadden's work include Neurotransmitter Receptor Influence on Behavior (27 papers), Receptor Mechanisms and Signaling (12 papers) and Neuroscience and Neuropharmacology Research (9 papers). Lisa M. McFadden is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (27 papers), Receptor Mechanisms and Signaling (12 papers) and Neuroscience and Neuropharmacology Research (9 papers). Lisa M. McFadden collaborates with scholars based in United States. Lisa M. McFadden's co-authors include Glen R. Hanson, Annette E. Fleckenstein, Christopher L. German, Paula L. Vieira‐Brock, Amanda J. Hoonakker, Michelle Baladi, Leslie Matuszewich, Diana G. Wilkins, Jonathan Ellis and David M. Andrenyak and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Pharmacological Reviews.

In The Last Decade

Lisa M. McFadden

35 papers receiving 711 citations

Author Peers

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

Author Last Decade Papers Cites
Lisa M. McFadden 498 245 211 137 85 37 728
Amy Goodwin 423 0.8× 173 0.7× 223 1.1× 207 1.5× 138 1.6× 40 848
Michael A. Sherer 591 1.2× 259 1.1× 200 0.9× 76 0.6× 146 1.7× 18 908
Lucas R. Watterson 493 1.0× 188 0.8× 445 2.1× 291 2.1× 98 1.2× 25 790
Peter R. Kufahl 502 1.0× 209 0.9× 158 0.7× 118 0.9× 211 2.5× 19 652
Thomas Steinkellner 490 1.0× 332 1.4× 71 0.3× 58 0.4× 99 1.2× 29 728
Joseph M. Paris 491 1.0× 222 0.9× 90 0.4× 63 0.5× 144 1.7× 28 631
Rómeó D. Andó 305 0.6× 146 0.6× 111 0.5× 109 0.8× 45 0.5× 28 729
William D. Wessinger 407 0.8× 279 1.1× 183 0.9× 50 0.4× 57 0.7× 45 813
Barbara A. Bennett 373 0.7× 214 0.9× 70 0.3× 51 0.4× 43 0.5× 32 652
Donald R. Sweeney 240 0.5× 98 0.4× 67 0.3× 140 1.0× 63 0.7× 31 716

Countries citing papers authored by Lisa M. McFadden

Since Specialization
Citations

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

Fields of papers citing papers by Lisa M. McFadden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa M. McFadden

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa M. McFadden. A scholar is included among the top collaborators of Lisa M. McFadden 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 Lisa M. McFadden. Lisa M. McFadden 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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