Ian Dainty

1.1k total citations
19 papers, 879 citations indexed

About

Ian Dainty is a scholar working on Physiology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ian Dainty has authored 19 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 7 papers in Molecular Biology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ian Dainty's work include Asthma and respiratory diseases (6 papers), Adenosine and Purinergic Signaling (5 papers) and Receptor Mechanisms and Signaling (5 papers). Ian Dainty is often cited by papers focused on Asthma and respiratory diseases (6 papers), Adenosine and Purinergic Signaling (5 papers) and Receptor Mechanisms and Signaling (5 papers). Ian Dainty collaborates with scholars based in United Kingdom, Sweden and United States. Ian Dainty's co-authors include Paul Leff, Stephen E. O'Connor, Iain G. Dougall, Tania E. Webb, Duncan J. Henderson, G M Smith, Graeme Wilkinson, J.C. McGrath, P. Leff and Michael Spedding and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Pharmacology and Experimental Therapeutics and Nature Structural & Molecular Biology.

In The Last Decade

Ian Dainty

19 papers receiving 851 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Dainty United Kingdom 13 455 409 259 180 127 19 879
Graeme Wilkinson United Kingdom 17 392 0.9× 594 1.5× 192 0.7× 266 1.5× 73 0.6× 27 1.0k
Svetlana Tertyshnikova United States 7 301 0.7× 259 0.6× 142 0.5× 126 0.7× 48 0.4× 9 672
Heidi Taylor United States 10 669 1.5× 521 1.3× 62 0.2× 188 1.0× 57 0.4× 10 849
Chiwaka Kimura Japan 13 101 0.2× 259 0.6× 205 0.8× 64 0.4× 69 0.5× 20 539
Garth E. Ringheim United States 20 102 0.2× 417 1.0× 336 1.3× 112 0.6× 39 0.3× 26 1.1k
W. K. Sonnenburg United States 14 93 0.2× 842 2.1× 261 1.0× 144 0.8× 162 1.3× 14 1.1k
Grace Y. Sun United States 14 102 0.2× 288 0.7× 91 0.4× 114 0.6× 117 0.9× 27 862
Roberta Felici Italy 16 215 0.5× 534 1.3× 136 0.5× 59 0.3× 22 0.2× 18 1.1k
Nicole C. Herrity United States 8 69 0.2× 396 1.0× 273 1.1× 360 2.0× 74 0.6× 8 1.1k
Linda Merkel United States 14 121 0.3× 300 0.7× 162 0.6× 56 0.3× 188 1.5× 25 551

Countries citing papers authored by Ian Dainty

Since Specialization
Citations

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

Fields of papers citing papers by Ian Dainty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian Dainty. 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 Ian Dainty. The network helps show where Ian Dainty may publish in the future.

Co-authorship network of co-authors of Ian Dainty

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

All Works

19 of 19 papers shown
1.
Postel, Sandra, Lisa Wissler, Carina Johansson, et al.. (2023). Quaternary glucocorticoid receptor structure highlights allosteric interdomain communication. Nature Structural & Molecular Biology. 30(3). 286–295. 20 indexed citations
2.
Laar, Jacob M. van, J.O. Almquist, Graham Belfield, et al.. (2023). AZD9567 versus prednisolone in patients with active rheumatoid arthritis: A phase IIa, randomized, double‐blind, efficacy, and safety study. Clinical and Translational Science. 16(12). 2494–2506. 7 indexed citations
3.
4.
Koziol‐White, Cynthia, Timothy Johnstone, Gaoyuan Cao, et al.. (2019). Budesonide enhances agonist-induced bronchodilation in human small airways by increasing cAMP production in airway smooth muscle. American Journal of Physiology-Lung Cellular and Molecular Physiology. 318(2). L345–L355. 22 indexed citations
5.
Fridén, Markus, et al.. (2017). Benchmarking of Human Dose Prediction for Inhaled Medicines from Preclinical In Vivo Data. Pharmaceutical Research. 34(12). 2557–2567. 12 indexed citations
6.
Nicholls, David, et al.. (2015). Pharmacological Characterization of AZD5069, a Slowly Reversible CXC Chemokine Receptor 2 Antagonist. Journal of Pharmacology and Experimental Therapeutics. 353(2). 340–350. 67 indexed citations
7.
Koziol‐White, Cynthia, Jie Zhang, Anna Miller‐Larsson, Ian Dainty, & Reynold A. Panettieri. (2015). Budesonide augments formoterol-induced bronchodilation of human small airways within minutes. PA998–PA998. 1 indexed citations
8.
Alcaraz, Lilian, Andrew Bailey, Elaine Cadogan, et al.. (2011). From libraries to candidate: The discovery of new ultra long-acting dibasic β2-adrenoceptor agonists. Bioorganic & Medicinal Chemistry Letters. 22(1). 689–695. 12 indexed citations
9.
Düringer, Caroline, Gunilla Grundström, Ian Dainty, et al.. (2009). Agonist‐specific patterns of β2‐adrenoceptor responses in human airway cells during prolonged exposure. British Journal of Pharmacology. 158(1). 169–179. 20 indexed citations
10.
Werry, Tim D., Mark Christie, Ian Dainty, Graeme Wilkinson, & Gary B. Willars. (2002). Ca2+ signalling by recombinant human CXCR2 chemokine receptors is potentiated by P2Y nucleotide receptors in HEK cells. British Journal of Pharmacology. 135(5). 1199–1208. 28 indexed citations
11.
Fagura, Malbinder, Ian Dainty, Ian P. Kirk, et al.. (1998). P2Y1‐receptors in human platelets which are pharmacologically distinct from P2YADP‐receptors. British Journal of Pharmacology. 124(1). 157–164. 89 indexed citations
12.
Henderson, Duncan J., et al.. (1995). Cloning and Characterization of a Bovine P2Y Receptor ∮. Biochemical and Biophysical Research Communications. 212(2). 648–656. 95 indexed citations
13.
Wilkinson, Graeme, K. McKechnie, Ian Dainty, & Michael R. Boarder. (1994). P2Y purinoceptor and nucleotide receptor-induced relaxation of precontracted bovine aortic collateral artery rings: differential sensitivity to suramin and indomethacin.. Journal of Pharmacology and Experimental Therapeutics. 268(2). 881–887. 46 indexed citations
14.
O'Connor, Stephen E., Ian Dainty, & Paul Leff. (1991). Further subclassification of ATP receptors based on agonist studies. Trends in Pharmacological Sciences. 12(4). 137–141. 317 indexed citations
15.
Leff, Paul, et al.. (1990). Errors in agonist affinity estimation: do they and should they occur in isolated tissue experiments?. Trends in Pharmacological Sciences. 11(2). 64–67. 25 indexed citations
16.
17.
Dainty, Ian, J.C. McGrath, Michael Spedding, & A.G.B. Templeton. (1990). The influence of the initial stretch and the agonist‐induced tone on the effect of basal and stimulated release of EDRF. British Journal of Pharmacology. 100(4). 767–773. 48 indexed citations
18.
Dainty, Ian, Marc Bigaud, J.C. McGrath, & Michael Spedding. (1990). Interactions of palmitoyl carnitine with the endothelium in rat aorta. British Journal of Pharmacology. 100(2). 241–246. 7 indexed citations
19.
Eglen, Richard M., et al.. (1988). The interaction of methoctramine and himbacine at atrial, smooth muscle and endothelial muscarinic receptorsin vitro. British Journal of Pharmacology. 95(4). 1031–1038. 47 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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