Iain A. Sharpe

667 total citations
8 papers, 570 citations indexed

About

Iain A. Sharpe is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Iain A. Sharpe has authored 8 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 1 paper in Organic Chemistry. Recurrent topics in Iain A. Sharpe's work include Nicotinic Acetylcholine Receptors Study (5 papers), Receptor Mechanisms and Signaling (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Iain A. Sharpe is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (5 papers), Receptor Mechanisms and Signaling (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Iain A. Sharpe collaborates with scholars based in Australia, France and Nepal. Iain A. Sharpe's co-authors include Richard J. Lewis, Paul F. Alewood, David J. Adams, Marion Loughnan, Linda Thomas, David J. Craik, Elka Palant, Denise A. Adams, John Gehrmann and Alun Jones and has published in prestigious journals such as Journal of Biological Chemistry, Nature Neuroscience and Biopolymers.

In The Last Decade

Iain A. Sharpe

8 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iain A. Sharpe Australia 6 512 193 66 59 44 8 570
Denise A. Adams Australia 10 643 1.3× 181 0.9× 71 1.1× 55 0.9× 50 1.1× 11 681
Elka Palant Australia 6 392 0.8× 140 0.7× 42 0.6× 63 1.1× 32 0.7× 7 456
Shrinivasan Raghuraman United States 12 277 0.5× 118 0.6× 65 1.0× 89 1.5× 39 0.9× 29 465
Lotten Ragnarsson Australia 13 334 0.7× 151 0.8× 46 0.7× 45 0.8× 71 1.6× 36 473
Joseph Ligutti United States 12 365 0.7× 106 0.5× 78 1.2× 33 0.6× 99 2.3× 18 426
David Sandall Australia 7 462 0.9× 90 0.5× 37 0.6× 63 1.1× 17 0.4× 8 496
Ron C. Hogg Australia 12 456 0.9× 115 0.6× 39 0.6× 61 1.0× 43 1.0× 15 550
Han‐Shen Tae Australia 18 696 1.4× 189 1.0× 63 1.0× 98 1.7× 62 1.4× 60 820
Norihiro Shinkai Japan 15 198 0.4× 124 0.6× 49 0.7× 44 0.7× 20 0.5× 26 414
Donald H. Jenkinson United Kingdom 13 473 0.9× 240 1.2× 73 1.1× 29 0.5× 18 0.4× 19 592

Countries citing papers authored by Iain A. Sharpe

Since Specialization
Citations

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

Fields of papers citing papers by Iain A. Sharpe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iain A. Sharpe. 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 Iain A. Sharpe. The network helps show where Iain A. Sharpe may publish in the future.

Co-authorship network of co-authors of Iain A. Sharpe

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

All Works

8 of 8 papers shown
1.
Sharpe, Iain A., et al.. (2007). χ-Conotoxin and Tricyclic Antidepressant Interactions at the Norepinephrine Transporter Define a New Transporter Model. Journal of Biological Chemistry. 282(24). 17837–17844. 46 indexed citations
2.
Nilsson, K. Peter R., Erica S. Lovelace, Nahreen Tynngård, et al.. (2005). Solution structure of χ‐conopeptide MrIA, a modulator of the human norepinephrine transporter. Biopolymers. 80(6). 815–823. 35 indexed citations
3.
Sharpe, Iain A., Elka Palant, Christina I. Schroeder, et al.. (2003). Inhibition of the Norepinephrine Transporter by the Venom Peptide χ-MrIA. Journal of Biological Chemistry. 278(41). 40317–40323. 61 indexed citations
4.
Sharpe, Iain A., Linda Thomas, Marion Loughnan, et al.. (2003). Allosteric α1-Adrenoreceptor Antagonism by the Conopeptide ρ-TIA. Journal of Biological Chemistry. 278(36). 34451–34457. 50 indexed citations
5.
Sharpe, Iain A., John Gehrmann, Marion Loughnan, et al.. (2001). Two new classes of conopeptides inhibit the α1-adrenoceptor and noradrenaline transporter. Nature Neuroscience. 4(9). 902–907. 189 indexed citations
6.
Lewis, Richard J., Katherine J. Nielsen, David J. Craik, et al.. (2000). Novel ω-Conotoxins from Conus catus Discriminate among Neuronal Calcium Channel Subtypes. Journal of Biological Chemistry. 275(45). 35335–35344. 183 indexed citations
7.
Bowles, Mark R., et al.. (1997). Bound Tris Confounds the Identification of Binding Site Residues in a Paraquat Single Chain Antibody. The Journal of Biochemistry. 122(1). 101–108. 4 indexed citations
8.
Sharpe, Iain A., et al.. (1996). Amezinium and debrisoquine are substrates of uptake1 and potent inhibitors of monoamine oxidase in perfused lungs of rats. Naunyn-Schmiedeberg s Archives of Pharmacology. 353(5). 536–44. 2 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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