D.G. Haylett

1.6k total citations
23 papers, 1.4k citations indexed

About

D.G. Haylett is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, D.G. Haylett has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 4 papers in Pharmacology. Recurrent topics in D.G. Haylett's work include Ion channel regulation and function (18 papers), Neuroscience and Neuropharmacology Research (16 papers) and Healthcare and Venom Research (4 papers). D.G. Haylett is often cited by papers focused on Ion channel regulation and function (18 papers), Neuroscience and Neuropharmacology Research (16 papers) and Healthcare and Venom Research (4 papers). D.G. Haylett collaborates with scholars based in United Kingdom and United States. D.G. Haylett's co-authors include D. H. Jenkinson, Neil A. Castle, Mala M. Shah, Nigel S. Cook, David Benton, Guy W. J. Moss, Ramine Hosseini, Parmvir K. Bahia, C. Robin Ganellin and Donald H. Jenkinson and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Physiology.

In The Last Decade

D.G. Haylett

23 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.G. Haylett United Kingdom 18 1.1k 768 350 154 86 23 1.4k
J Z Yeh United States 28 1.5k 1.4× 1.4k 1.8× 537 1.5× 111 0.7× 97 1.1× 52 2.0k
N Godinot United States 9 1.0k 0.9× 918 1.2× 251 0.7× 93 0.6× 76 0.9× 11 1.5k
M Lazdunski France 18 1.1k 1.0× 531 0.7× 233 0.7× 179 1.2× 32 0.4× 31 1.5k
Reid J. Leonard United States 16 1.9k 1.7× 951 1.2× 532 1.5× 204 1.3× 69 0.8× 18 2.3k
Shunichi Yamagishi Japan 23 710 0.7× 608 0.8× 247 0.7× 135 0.9× 75 0.9× 65 1.2k
Regina Preisig‐Müller Germany 25 2.0k 1.8× 782 1.0× 715 2.0× 160 1.0× 63 0.7× 40 2.4k
Robert J. Mather United States 15 1.4k 1.3× 780 1.0× 367 1.0× 312 2.0× 123 1.4× 20 1.7k
Stanley G. Rane United States 22 1.7k 1.6× 1.3k 1.7× 320 0.9× 261 1.7× 36 0.4× 35 2.1k
Michael Pasternack Finland 24 1.1k 1.0× 962 1.3× 247 0.7× 135 0.9× 156 1.8× 36 1.7k
Julie Tseng-Crank United States 16 1.1k 1.1× 722 0.9× 582 1.7× 68 0.4× 27 0.3× 21 1.4k

Countries citing papers authored by D.G. Haylett

Since Specialization
Citations

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

Fields of papers citing papers by D.G. Haylett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.G. Haylett. 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 D.G. Haylett. The network helps show where D.G. Haylett may publish in the future.

Co-authorship network of co-authors of D.G. Haylett

This figure shows the co-authorship network connecting the top 25 collaborators of D.G. Haylett. A scholar is included among the top collaborators of D.G. Haylett 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 D.G. Haylett. D.G. Haylett 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.
Benton, David, et al.. (2004). The SK3 Subunit of Small Conductance Ca2+-activated K+ Channels Interacts with Both SK1 and SK2 Subunits in a Heterologous Expression System. Journal of Biological Chemistry. 279(2). 1003–1009. 83 indexed citations
3.
Benton, David, et al.. (2003). Small Conductance Ca2+‐Activated K+ Channels Formed by the Expression of Rat SK1 and SK2 Genes in HEK 293 Cells. The Journal of Physiology. 553(1). 13–19. 66 indexed citations
4.
Zunszain, Patricia A., et al.. (2002). Tritylamino Aromatic Heterocycles and Related Carbinols as Blockers of Ca 2+-Activated Potassium Ion Channels Underlying Neuronal Hyperpolarization. Archiv der Pharmazie. 335(4). 159–159. 12 indexed citations
5.
Shah, Mala M. & D.G. Haylett. (2002). K+ Currents Generated by NMDA Receptor Activation in Rat Hippocampal Pyramidal Neurons. Journal of Neurophysiology. 87(6). 2983–2989. 43 indexed citations
6.
Shah, Mala M., et al.. (2001). Clotrimazole analogues: effective blockers of the slow afterhyperpolarization in cultured rat hippocampal pyramidal neurones. British Journal of Pharmacology. 132(4). 889–898. 35 indexed citations
7.
Roxburgh, Craig J., C. Robin Ganellin, Alessandra Bisi, et al.. (2001). Synthesis and Structure−Activity Relationships of Cetiedil Analogues as Blockers of the Ca2+-Activated K+Permeability of Erythrocytes. Journal of Medicinal Chemistry. 44(20). 3244–3253. 9 indexed citations
8.
Shah, Mala M. & D.G. Haylett. (2000). The pharmacology of hSK1 Ca2+‐activated K+ channels expressed in mammalian cell lines. British Journal of Pharmacology. 129(4). 627–630. 96 indexed citations
9.
Castle, Neil A., et al.. (1993). Dequalinium: a potent inhibitor of apamin-sensitive K+ channels in hepatocytes and of nicotinic responses in skeletal muscle. European Journal of Pharmacology. 236(2). 201–207. 58 indexed citations
10.
Benton, David & D.G. Haylett. (1992). Effects of cromakalim on the membrane potassium permeability of frog skeletal muscle in vitro. British Journal of Pharmacology. 107(1). 152–155. 7 indexed citations
11.
Castle, Neil A., D.G. Haylett, & D. H. Jenkinson. (1989). Toxins in the characterization of potassium channels. Trends in Neurosciences. 12(2). 59–65. 300 indexed citations
12.
Castle, Neil A. & D.G. Haylett. (1987). Effect of channel blockers on potassium efflux from metabolically exhausted frog skeletal muscle.. The Journal of Physiology. 383(1). 31–43. 86 indexed citations
13.
Gater, Paul R., D.G. Haylett, & D. H. Jenkinson. (1985). Neuromuscular blocking agents inhibit receptor‐mediated increases in the potassium permeability of intestinal smooth muscle. British Journal of Pharmacology. 86(4). 861–868. 35 indexed citations
14.
Jenkinson, D. H., D.G. Haylett, & Nigel S. Cook. (1983). Calcium-activated potassium channels in liver cells. Cell Calcium. 4(5-6). 429–437. 36 indexed citations
15.
Cook, Nigel S., D.G. Haylett, & Peter N. Strong. (1983). High affinity binding of [125I]monoiodoapamin to isolated guinea‐pig hepatocytes. FEBS Letters. 152(2). 265–269. 28 indexed citations
16.
Haylett, D.G.. (1976). EFFECTS OF SYMPATHOMIMETIC AMINES ON 45Ca EFFLUX FROM LIVER SLICES. British Journal of Pharmacology. 57(1). 158–160. 45 indexed citations
17.
Haylett, D.G. & D. H. Jenkinson. (1972). Effects of noradrenaline on potassium efflux, membrane potential and electrolyte levels in tissue slices prepared from guinea‐pig liver. The Journal of Physiology. 225(3). 721–750. 73 indexed citations
18.
Haylett, D.G. & D. H. Jenkinson. (1972). The receptors concerned in the actions of catecholamines on glucose release, membrane potential and ion movements in guinea‐pig liver. The Journal of Physiology. 225(3). 751–772. 53 indexed citations
19.
Haylett, D.G. & D. H. Jenkinson. (1969). Effects of Noradrenaline on the Membrane Potential and Ionic Permeability of Parenchymal Cells in the Liver of the Guinea-pig. Nature. 224(5214). 80–81. 28 indexed citations
20.
Haylett, D.G. & D. H. Jenkinson. (1968). Receptors mediating the effect of catecholamines on glucose release from guinea-pig liver in vitro.. PubMed. 34(3). 694P–695P. 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.

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