M.G. Lacey

3.3k citations
33 papers · 2.6k indexed · 1 hit paper · h-index 26

M.G. Lacey

33 papers receiving 2.6k citations

Hit Papers

Dopamine acts on D2 receptors to increase potassium condu...5121987202620002013100200300400500

Peers

M.G. Lacey
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 2.4k
  • Neurology 468
  • Cognitive Neuroscience 508
  • Molecular Biology 1.4k
  • Endocrine and Autonomic Systems 103
Replace C.A. Ingham with:
C.A. Ingham United Kingdom
C. Gauchy France
I.C. Kilpatrick United Kingdom
AA Grace United States
June Chan United States
G. Godeheu France
R. Boucher Canada
Carlos A. Paladini United States
Sylvia Garcia Canada
P.M. Groves United States
M.G. Lacey relative to C.A. Ingham United Kingdom C.A. Ingham's profile →
Citations per field
00.5×
C.A. Ingham · 1×
Citations per year

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

The 25 scholars most cited alongside M.G. Lacey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.G. Lacey Line = papers co-authored together M.G. Lacey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201429
2 200635
3 200539
4 200351
5 200040
6 199863
7 199845
8 199724
9
Dopamine depresses EPSCs in the nucleus accumbens via NMDA receptor-dependent release of adenosine
19962
10 19963
11 199569
12 199453
13 199345
14 199254
15 199133
16 1990140
17 1990143
18 1990115
19 1989239
20
Dopamine hyperpolarizes neurons in the rat substantia nigra zona compacta in vitro by increasing potassium conductance
19866

About M.G. Lacey

M.G. Lacey is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Developmental Neuroscience and Physiology, having authored 33 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (30 papers), Neurotransmitter Receptor Influence on Behavior (15 papers), Receptor Mechanisms and Signaling (8 papers), Neurological disorders and treatments (7 papers), Ion channel regulation and function (6 papers), Neural dynamics and brain function (4 papers), Neuroscience and Neural Engineering (4 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Neurology (468 citations), Cognitive Neuroscience (508 citations), Molecular Biology (1.4k citations) and Endocrine and Autonomic Systems (103 citations). M.G. Lacey has collaborated with scholars based in United Kingdom, United States and Italy. Frequent 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. Their work appears in journals such as Neuroscience, The Journal of Physiology, Brain Research, British Journal of Pharmacology and Neuropharmacology.

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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