M.G. Lacey

3.3k total citations · 1 hit paper
33 papers, 2.6k citations indexed

About

M.G. Lacey is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, M.G. Lacey has authored 33 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cellular and Molecular Neuroscience, 17 papers in Molecular Biology and 7 papers in Neurology. Recurrent topics in M.G. Lacey's work include Neuroscience and Neuropharmacology Research (30 papers), Neurotransmitter Receptor Influence on Behavior (15 papers) and Receptor Mechanisms and Signaling (8 papers). M.G. Lacey is often cited by papers focused on Neuroscience and Neuropharmacology Research (30 papers), Neurotransmitter Receptor Influence on Behavior (15 papers) and Receptor Mechanisms and Signaling (8 papers). M.G. Lacey collaborates with scholars based in United Kingdom, United States and Italy. M.G. Lacey's co-authors include Nicola Biagio Mercuri, R. Alan North, R A North, Jenni Harvey, Paolo Calabresi, Ian M. Stanford, William Howson, Guy R. Seabrook, Caroline Rick and Graeme Henderson and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and The Journal of Physiology.

In The Last Decade

M.G. Lacey

33 papers receiving 2.6k citations

Hit Papers

Dopamine acts on D2 receptors to increase potassium condu... 1987 2026 2000 2013 1987 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.G. Lacey United Kingdom 26 2.4k 1.4k 508 468 174 33 2.6k
AA Grace United States 5 1.8k 0.7× 896 0.6× 692 1.4× 339 0.7× 84 0.5× 12 2.1k
Sylvia Garcia Canada 12 1.5k 0.6× 803 0.6× 392 0.8× 227 0.5× 119 0.7× 14 1.7k
G. Godeheu France 24 1.7k 0.7× 1.0k 0.7× 289 0.6× 291 0.6× 219 1.3× 39 2.1k
C.A. Ingham United Kingdom 23 2.2k 0.9× 970 0.7× 649 1.3× 1.1k 2.3× 274 1.6× 30 2.9k
C. Gauchy France 25 1.6k 0.7× 921 0.6× 266 0.5× 331 0.7× 205 1.2× 53 1.9k
P.M. Groves United States 22 1.5k 0.6× 615 0.4× 574 1.1× 311 0.7× 111 0.6× 43 1.8k
Kenneth C. Watkins Canada 22 2.5k 1.1× 1.4k 1.0× 873 1.7× 249 0.5× 257 1.5× 24 3.1k
Carlos A. Paladini United States 24 1.7k 0.7× 843 0.6× 810 1.6× 291 0.6× 109 0.6× 40 2.1k
Sébastien Carnicella France 27 1.5k 0.6× 746 0.5× 450 0.9× 499 1.1× 258 1.5× 44 2.3k
I.C. Kilpatrick United Kingdom 23 1.3k 0.6× 486 0.3× 481 0.9× 377 0.8× 146 0.8× 52 1.7k

Countries citing papers authored by M.G. Lacey

Since Specialization
Citations

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

Fields of papers citing papers by M.G. Lacey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.G. Lacey

This figure shows the co-authorship network connecting the top 25 collaborators of M.G. Lacey. A scholar is included among the top collaborators of M.G. Lacey 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 M.G. Lacey. M.G. Lacey 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.
Lacey, M.G., et al.. (2014). Spike Firing and IPSPs in Layer V Pyramidal Neurons during Beta Oscillations in Rat Primary Motor Cortex (M1) In Vitro. PLoS ONE. 9(1). e85109–e85109. 29 indexed citations
3.
Wilson, Clare, et al.. (2005). Functional interconnectivity between the globus pallidus and the subthalamic nucleus in the mouse brain slice. The Journal of Physiology. 567(3). 977–987. 39 indexed citations
4.
Wilson, Claire, M. C. A. Puntis, & M.G. Lacey. (2003). Overwhelmingly asynchronous firing of rat subthalamic nucleus neurones in brain slices provides little evidence for intrinsic interconnectivity. Neuroscience. 123(1). 187–200. 51 indexed citations
5.
Lacey, M.G., et al.. (2000). A Kv3‐like persistent, outwardly rectifying, Cs+‐permeable, K+ current in rat subthalamic nucleus neurones. The Journal of Physiology. 527(3). 493–506. 40 indexed citations
6.
Lacey, M.G., et al.. (1998). Metabotropic glutamate receptors depress glutamate‐mediated synaptic input to rat midbrain dopamine neurones in vitro. British Journal of Pharmacology. 123(4). 667–674. 63 indexed citations
7.
Lacey, M.G., et al.. (1998). Presynaptic inhibition by dopamine of a discrete component of GABA release in rat substantia nigra pars reticulata. The Journal of Physiology. 513(3). 805–817. 45 indexed citations
8.
Abbott, Andrew P., et al.. (1997). Excitation of rat subthalamic nucleus neurones in vitro by activation of a group I metabotropic glutamate receptor. Brain Research. 766(1-2). 162–167. 24 indexed citations
9.
Harvey, Jenni & M.G. Lacey. (1996). Dopamine depresses EPSCs in the nucleus accumbens via NMDA receptor-dependent release of adenosine. The Society for Neuroscience Abstracts. 22. 1739. 2 indexed citations
10.
Abbott, Andrew P., et al.. (1996). Functional characterisation of mGluRs in ventral midbrain. Neuropharmacology. 35(6). A33–A33. 3 indexed citations
11.
Rick, Caroline, Ian M. Stanford, & M.G. Lacey. (1995). Excitation of rat substantia nigra pars reticulata neurons by 5-hydroxytryptaminein vitro: Evidence for a direct action mediated by 5-hydroxytryptamine2C receptors. Neuroscience. 69(3). 903–913. 69 indexed citations
12.
Rick, Caroline & M.G. Lacey. (1994). Rat substantia nigra pars reticulata neurones are tonically inhibited via GABA A , but not GABA B , receptors in vitro. Brain Research. 659(1-2). 133–137. 53 indexed citations
14.
Häusser, Michael, Wing‐Ho Yung, & M.G. Lacey. (1992). Taurine and glycine activate the same Cl− conductance in substantia nigra dopamine neurones. Brain Research. 571(1). 103–108. 54 indexed citations
15.
Seabrook, Guy R., William Howson, & M.G. Lacey. (1991). Subpopulations of GABA-mediated synaptic potentials in slices of rat dorsal striatum are differentially modulated by presynaptic GABAB receptors. Brain Research. 562(2). 332–334. 33 indexed citations
16.
Seabrook, Guy R., William Howson, & M.G. Lacey. (1990). Electrophysiological characterization of potent agonists and antagonists at pre‐ and postsynaptic GABAB receptors on neurones in rat brain slices. British Journal of Pharmacology. 101(4). 949–957. 140 indexed citations
17.
Lacey, M.G., Paolo Calabresi, & R. Alan North. (1990). Muscarine depolarizes rat substantia nigra zona compacta and ventral tegmental neurons in vitro through M1-like receptors.. Journal of Pharmacology and Experimental Therapeutics. 253(1). 395–400. 143 indexed citations
18.
Lacey, M.G., Nicola Biagio Mercuri, & R A North. (1990). Actions of cocaine on rat dopaminergic neuronesin vitro. British Journal of Pharmacology. 99(4). 731–735. 115 indexed citations
19.
Calabresi, Paolo, M.G. Lacey, & R A North. (1989). Nicotinic excitation of rat ventral tegmental neurones in vitro studied by intracellular recording. British Journal of Pharmacology. 98(1). 135–140. 239 indexed citations
20.
Lacey, M.G., Nicola Biagio Mercuri, & R. Alan North. (1986). Dopamine hyperpolarizes neurons in the rat substantia nigra zona compacta in vitro by increasing potassium conductance. The Society for Neuroscience Abstracts. 12(2). 1515. 6 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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