Leah M. Mayo

85 total papers · 2.8k total citations
54 papers, 1.9k citations indexed

About

Leah M. Mayo is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Leah M. Mayo has authored 54 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pharmacology, 21 papers in Cellular and Molecular Neuroscience and 20 papers in Cognitive Neuroscience. Recurrent topics in Leah M. Mayo's work include Cannabis and Cannabinoid Research (20 papers), Neurotransmitter Receptor Influence on Behavior (17 papers) and Neural and Behavioral Psychology Studies (10 papers). Leah M. Mayo is often cited by papers focused on Cannabis and Cannabinoid Research (20 papers), Neurotransmitter Receptor Influence on Behavior (17 papers) and Neural and Behavioral Psychology Studies (10 papers). Leah M. Mayo collaborates with scholars based in Sweden, United States and Canada. Leah M. Mayo's co-authors include Harriet de Wit, Markus Heilig, Huda Akil, Shelly B. Flagel, Sarah M. Clinton, Jeremy J. Clark, Ingo Willuhn, Terry E. Robinson, Paul E. M. Phillips and David H. Zald and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Leah M. Mayo

45 papers receiving 1.8k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Leah M. Mayo	960	800	461	316	287	54	1.9k
Steven D. LaRowe	873 0.9×	532 0.7×	264 0.6×	417 1.3×	333 1.2×	46	2.2k
Boris D. Heifets	1.4k 1.5×	732 0.9×	928 2.0×	442 1.4×	548 1.9×	53	2.6k
Michael J. Morgan	870 0.9×	471 0.6×	405 0.9×	211 0.7×	671 2.3×	33	2.3k
G.S.F. Ruigt	645 0.7×	916 1.1×	285 0.6×	296 0.9×	145 0.5×	49	2.1k
Eric J. Nunes	1.0k 1.0×	438 0.5×	283 0.6×	450 1.4×	147 0.5×	39	1.7k
Marisa M. Silveri	1.3k 1.4×	1.2k 1.5×	418 0.9×	238 0.8×	369 1.3×	86	3.3k
Teresa R. Franklin	1.2k 1.2×	1.1k 1.4×	234 0.5×	664 2.1×	295 1.0×	54	2.7k
Erik B. Oleson	1.5k 1.6×	759 0.9×	426 0.9×	684 2.2×	154 0.5×	43	2.1k
Lauri Tuominen	528 0.6×	507 0.6×	242 0.5×	222 0.7×	394 1.4×	61	2.0k
Paul Stokes	970 1.0×	658 0.8×	447 1.0×	297 0.9×	375 1.3×	57	2.2k

Countries citing papers authored by Leah M. Mayo

Since Specialization

Citations

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

Fields of papers citing papers by Leah M. Mayo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leah M. Mayo

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