Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A review of central 5-HT receptors and their function
This map shows the geographic impact of Trevor Sharp'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 Trevor Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trevor Sharp more than expected).
This network shows the impact of papers produced by Trevor Sharp. 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 Trevor Sharp. The network helps show where Trevor Sharp may publish in the future.
Co-authorship network of co-authors of Trevor Sharp
This figure shows the co-authorship network connecting the top 25 collaborators of Trevor Sharp.
A scholar is included among the top collaborators of Trevor Sharp 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 Trevor Sharp. Trevor Sharp is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Glotch, T. D., et al.. (2019). The Behavior of Calcium-Rich Plagioclase Under Impact Relevent Conditions and Implications for Impact Studies. LPI. 2691.1 indexed citations
Cragg, Stephanie J., et al.. (2008). Fast scan cyclic voltammetry evidence that 5-HT transporter overexpression impairs the function of 5-HT nerve terminals. Fundamental and Clinical Pharmacology. 22. 128–128.1 indexed citations
Boothman, L J, Trevor Sharp, & S.N. Mitchell. (2004). Investigation of the SSRI augmentation properties of 5-HT2 receptor antagonists using in vivo microdialysis. Fundamental and Clinical Pharmacology. 18. 144–144.1 indexed citations
13.
Jennings, Katie A., et al.. (2003). Mice over-expressing the 5-HT transporter show evidence of increased central 5-HT2A function. British Journal of Pharmacology. 138.2 indexed citations
14.
Boothman, L J, Kelly A. Allers, K. Rasmussen, & Trevor Sharp. (2003). Evidence that 5-HT2 receptor agonist induced inhibtion of 5-HT cell firing is mediated by central and not peripheral 5-HT2 receptors. British Journal of Pharmacology. 138.1 indexed citations
15.
Hirani, Ella, et al.. (2003). Effect of endogenous 5-HT on [C-11]MDL 100907 binding investigated in rat brain using PET. British Journal of Pharmacology. 138.1 indexed citations
16.
Tordera, R.M., et al.. (2002). Effect of paroxetine in combination with the 5-HT1A antagonists, NAD-299 and LY 426965, on expression of the immediate early gene arc in the rat brain. British Journal of Pharmacology. 135.1 indexed citations
17.
Boothman, L J, Kelly A. Allers, K. Rasmussen, & Trevor Sharp. (2001). Electrophysiological evidence for 5-HT2 receptor-mediated control of 5-HT cell firing in the dorsal raphe nucleus of the anaesthetised rat. British Journal of Pharmacology. 134.1 indexed citations
18.
Pei, Qi, et al.. (2000). Administration of lithium altered mRNA expression of voltage-dependent potassium channel subunits in the rat brain. European Journal of Neuroscience. 12. 103–103.1 indexed citations
Ungerstedt, Urban, Mario Herrera‐Marschitz, & Trevor Sharp. (1985). Pharmacologic characterization of dogmatil. Pre- and postsynaptic effects on dopaminergic receptors. 61. 1283–1287.1 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.