Alexandra E. Conibear

523 total citations
8 papers, 394 citations indexed

About

Alexandra E. Conibear is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Alexandra E. Conibear has authored 8 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 1 paper in Social Psychology. Recurrent topics in Alexandra E. Conibear's work include Neuropeptides and Animal Physiology (6 papers), Pharmacological Receptor Mechanisms and Effects (5 papers) and Receptor Mechanisms and Signaling (5 papers). Alexandra E. Conibear is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Pharmacological Receptor Mechanisms and Effects (5 papers) and Receptor Mechanisms and Signaling (5 papers). Alexandra E. Conibear collaborates with scholars based in United Kingdom, United States and Sweden. Alexandra E. Conibear's co-authors include Eamonn Kelly, Graeme Henderson, R. W. Hill, Christopher Bailey, Stephen M. Husbands, Katy J. Sutcliffe, Alex Disney, William L. Dewey, Mark Butler and Andrew Mumford and has published in prestigious journals such as Blood, Journal of Pharmacology and Experimental Therapeutics and British Journal of Pharmacology.

In The Last Decade

Alexandra E. Conibear

7 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexandra E. Conibear United Kingdom 6 288 260 73 44 24 8 394
Wendy Hope Australia 14 175 0.6× 191 0.7× 106 1.5× 59 1.3× 10 0.4× 23 462
Brett M. Antonio United States 11 331 1.1× 184 0.7× 104 1.4× 100 2.3× 12 0.5× 14 461
E. Sch�mig Germany 15 267 0.9× 294 1.1× 61 0.8× 52 1.2× 26 1.1× 20 567
Qiansheng Liang China 13 273 0.9× 127 0.5× 34 0.5× 108 2.5× 17 0.7× 32 432
David Printzenhoff United States 7 254 0.9× 140 0.5× 95 1.3× 73 1.7× 9 0.4× 9 321
Ryuichi Tsujita Japan 12 157 0.5× 74 0.3× 62 0.8× 17 0.4× 17 0.7× 17 369
Anne Renouard France 9 212 0.7× 191 0.7× 86 1.2× 28 0.6× 28 1.2× 10 373
Jimmy Kong United States 8 185 0.6× 87 0.3× 27 0.4× 51 1.2× 12 0.5× 9 298
Vaibhavkumar S. Gawali Austria 12 144 0.5× 86 0.3× 16 0.2× 43 1.0× 22 0.9× 21 270
Keisuke Obara Japan 10 149 0.5× 58 0.2× 55 0.8× 47 1.1× 18 0.8× 79 358

Countries citing papers authored by Alexandra E. Conibear

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra E. Conibear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandra E. Conibear. 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 Alexandra E. Conibear. The network helps show where Alexandra E. Conibear may publish in the future.

Co-authorship network of co-authors of Alexandra E. Conibear

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra E. Conibear. A scholar is included among the top collaborators of Alexandra E. Conibear 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 Alexandra E. Conibear. Alexandra E. Conibear 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.
Conibear, Alexandra E., Christopher Bailey, & Eamonn Kelly. (2024). Biased signalling in analgesic research and development. Current Opinion in Pharmacology. 76. 102465–102465. 1 indexed citations
2.
Wegner, Sven, Mino D. C. Belle, Pishan Chang, et al.. (2024). Loss of neuropeptide signalling alters temporal expression of mouse suprachiasmatic neuronal state and excitability. European Journal of Neuroscience. 60(11). 6617–6633.
3.
Kelly, Eamonn, Alexandra E. Conibear, & Graeme Henderson. (2022). Biased Agonism: Lessons from Studies of Opioid Receptor Agonists. The Annual Review of Pharmacology and Toxicology. 63(1). 491–515. 51 indexed citations
4.
Conibear, Alexandra E., R. W. Hill, Stephen M. Husbands, et al.. (2020). A novel G protein‐biased agonist at the μ opioid receptor induces substantial receptor desensitisation through G protein‐coupled receptor kinase. British Journal of Pharmacology. 180(7). 943–957. 9 indexed citations
5.
Conibear, Alexandra E. & Eamonn Kelly. (2019). A Biased View of μ-Opioid Receptors?. Molecular Pharmacology. 96(5). 542–549. 81 indexed citations
6.
Conibear, Alexandra E., Junaid Asghar, R. W. Hill, et al.. (2019). A Novel G Protein–Biased Agonist at the δ Opioid Receptor with Analgesic Efficacy in Models of Chronic Pain. Journal of Pharmacology and Experimental Therapeutics. 372(2). 224–236. 48 indexed citations
7.
Hill, R. W., Alex Disney, Alexandra E. Conibear, et al.. (2018). The novel μ‐opioid receptor agonist PZM21 depresses respiration and induces tolerance to antinociception. British Journal of Pharmacology. 175(13). 2653–2661. 137 indexed citations
8.
Conibear, Alexandra E., Mark Butler, Eamonn Kelly, et al.. (2016). Inverse agonism at the P2Y12 receptor and ENT1 transporter blockade contribute to platelet inhibition by ticagrelor. Blood. 128(23). 2717–2728. 67 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Wendy Hope Breakdown of academic impact, for papers by Brett M. Antonio Breakdown of academic impact, for papers by E. Sch�mig Breakdown of academic impact, for papers by Qiansheng Liang Breakdown of academic impact, for papers by David Printzenhoff Breakdown of academic impact, for papers by Ryuichi Tsujita Breakdown of academic impact, for papers by Anne Renouard Breakdown of academic impact, for papers by Jimmy Kong Breakdown of academic impact, for papers by Vaibhavkumar S. Gawali Breakdown of academic impact, for papers by Keisuke Obara
Rankless by CCL
2026