Leah M. Mayo

2.9k total citations · 1 hit paper
55 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 55 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, Ingo Willuhn, Sarah M. Clinton, Jeremy J. Clark, Paul E. M. Phillips, Terry E. Robinson and Michael T. Treadway 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 1.9k citations

Hit Papers

A selective role for dopamine in stimulus–reward learning 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leah M. Mayo Sweden 20 966 802 478 316 296 55 1.9k
Eric J. Nunes United States 22 1.0k 1.0× 443 0.6× 284 0.6× 452 1.4× 147 0.5× 39 1.7k
Lauri Tuominen Finland 27 537 0.6× 518 0.6× 243 0.5× 225 0.7× 407 1.4× 61 2.0k
Erik B. Oleson United States 23 1.5k 1.6× 764 1.0× 429 0.9× 687 2.2× 155 0.5× 43 2.1k
Teresa R. Franklin United States 28 1.2k 1.2× 1.1k 1.4× 234 0.5× 666 2.1× 295 1.0× 54 2.7k
Laura López‐Cruz United States 22 951 1.0× 439 0.5× 187 0.4× 335 1.1× 165 0.6× 44 1.7k
Andre Der‐Avakian United States 26 932 1.0× 643 0.8× 236 0.5× 428 1.4× 280 0.9× 41 2.6k
Maric Tse Canada 14 1.0k 1.1× 878 1.1× 157 0.3× 349 1.1× 91 0.3× 16 1.7k
Lise Gutknecht Germany 29 1.2k 1.2× 661 0.8× 172 0.4× 605 1.9× 504 1.7× 39 2.7k
Jeremy J. Clark United States 21 1.7k 1.8× 961 1.2× 151 0.3× 753 2.4× 171 0.6× 24 2.5k
Andrew M. Farrar United States 21 1.2k 1.3× 661 0.8× 111 0.2× 487 1.5× 147 0.5× 26 2.0k

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

20 of 20 papers shown
1.
2.
Marusak, Hilary A., et al.. (2025). Research Review: What we have learned about the endocannabinoid system in developmental psychopathology. Journal of Child Psychology and Psychiatry. 66(12). 1904–1915.
3.
Cuttler, Carrie, et al.. (2025). Down the Rabbit Hole: A Large-Scale Survey of Psychedelic Users’ Patterns of Use and Perceived Effects. Journal of Psychoactive Drugs. 1–13. 1 indexed citations
4.
Thorpe, Hayley H. A., Leah M. Mayo, Lucas R. Trambaiolli, et al.. (2025). Optimizing social media initiatives to promote Neuropsychopharmacology (NPP) publications. Neuropsychopharmacology. 50(13). 2072–2078.
5.
Meshkat, Shakila, Yanbo Zhang, Andrew J. Greenshaw, et al.. (2025). Role of ketamine in the treatment of substance use disorders: A systematic review. Journal of Substance Use and Addiction Treatment. 175. 209705–209705. 4 indexed citations
7.
8.
Meshkat, Shakila, Benjamin T. Dunkley, Amy C. Reichelt, et al.. (2024). Impact of psilocybin on cognitive function: A systematic review. Psychiatry and Clinical Neurosciences. 78(12). 744–764. 3 indexed citations
9.
Mazurka, Raegan, Kate L. Harkness, Stefanie Hassel, et al.. (2024). Endocannabinoid concentrations in major depression: effects of childhood maltreatment and relation to hippocampal volume. Translational Psychiatry. 14(1). 431–431. 7 indexed citations
10.
Mayo, Leah M., et al.. (2024). Endocannabinoids and related lipids linked to social exclusion in individuals with chronic non-medical prescription opioid use. Neuropsychopharmacology. 49(10). 1630–1639. 5 indexed citations
11.
Heilig, Markus, et al.. (2023). Endocannabinoid and neuroendocrine contributions to fear learning in humans. Psychoneuroendocrinology. 153. 106152–106152.
12.
Perini, Irene, Leah M. Mayo, Andrea Johansson Capusan, et al.. (2023). Resilience to substance use disorder following childhood maltreatment: association with peripheral biomarkers of endocannabinoid function and neural indices of emotion regulation. Molecular Psychiatry. 28(6). 2563–2571. 14 indexed citations
13.
Ney, Luke J., et al.. (2023). Hair endocannabinoids predict physiological fear conditioning and salivary endocannabinoids predict subjective stress reactivity in humans. Psychoneuroendocrinology. 154. 106296–106296. 9 indexed citations
14.
Ney, Luke J., Wọlé Akóṣílè, Christopher G. Davey, et al.. (2023). Challenges and considerations for treating PTSD with medicinal cannabis: the Australian clinician’s perspective. Expert Review of Clinical Pharmacology. 16(11). 1093–1108. 2 indexed citations
15.
Perini, Irene, Per A. Gustafsson, Kajsa Igelström, et al.. (2021). Altered relationship between subjective perception and central representation of touch hedonics in adolescents with autism-spectrum disorder. Translational Psychiatry. 11(1). 224–224. 33 indexed citations
16.
Hedger, Kathryne Van, et al.. (2021). Effects of Acute Drug Administration on Emotion: a Review of Pharmacological MRI Studies. Current Addiction Reports. 8(2). 181–193. 2 indexed citations
17.
Perini, Irene, Per A. Gustafsson, J. Paul Hamilton, et al.. (2019). Brain-based Classification of Negative Social Bias in Adolescents With Nonsuicidal Self-injury: Findings From Simulated Online Social Interaction. EClinicalMedicine. 13. 81–90. 29 indexed citations
18.
Mayo, Leah M., et al.. (2018). Touch targeting C-tactile afferent fibers has a unique physiological pattern: A combined electrodermal and facial electromyography study. Biological Psychology. 140. 55–63. 28 indexed citations
19.
Mayo, Leah M., Anna Asratian, Lovisa Holm, et al.. (2018). Protective effects of elevated anandamide on stress and fear-related behaviors: translational evidence from humans and mice. Molecular Psychiatry. 25(5). 993–1005. 117 indexed citations
20.
Wardle, Margaret C., Michael T. Treadway, Leah M. Mayo, David H. Zald, & Harriet de Wit. (2011). Amping Up Effort: Effects ofd-Amphetamine on Human Effort-Based Decision-Making. Journal of Neuroscience. 31(46). 16597–16602. 208 indexed citations

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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