Adrian Mason

1.0k citations
16 papers · 832 · h-index 11

Impact in

Papers in

Adrian Mason

16 papers receiving 807 citations

Peers

Adrian Mason
Comparison fields: 5 of 76
  • Cellular and Molecular Neuroscience 575
  • Cognitive Neuroscience 430
  • Sensory Systems 56
  • Ecology, Evolution, Behavior and Systematics 87
  • Statistical and Nonlinear Physics 53
Replace Yuri I. Arshavsky with:
Yuri I. Arshavsky United States
Itay Hurwitz Israel
F. Nagy France
Ray Perrins United Kingdom
Volko A. Straub United Kingdom
James C. Prechtl United States
Alex Proekt United States
Elisabeth C. Walcott United States
H. Lechner United States
Samar Mehta United States
Adrian Mason relative to Yuri I. Arshavsky United States Yuri I. Arshavsky's profile →
Citations per field
00.5×1.5×
Yuri I. Arshavsky · 1×
Citations per year

Countries citing papers authored by Adrian Mason

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Mason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Adrian Mason, 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 Adrian Mason Line = papers co-authored together Adrian Mason links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1991311
2 2008133
3 198284
4 198659
5 199354
6
The modelling of pyramidal neurones in the visual cortex
198935
7 199631
8 198230
9 197826
10 198825
11 199615
12 198310
13 19969
14 19888
15
Flicker contrast sensitivity and visual direction sense in reading disabled-children
19931
16 19861

About Adrian Mason

Adrian Mason is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Pharmacology and Ecology, Evolution, Behavior and Systematics, having authored 16 papers that have together received 832 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), Neuroscience and Neural Engineering (6 papers), Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Cephalopods and Marine Biology (3 papers), Leech Biology and Applications (3 papers), Photoreceptor and optogenetics research (3 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (575 citations), Cognitive Neuroscience (430 citations), Sensory Systems (56 citations), Ecology, Evolution, Behavior and Systematics (87 citations) and Statistical and Nonlinear Physics (53 citations). Adrian Mason has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Ken Stratford, Andrew J. Nicoll, William B. Kristan, Peter A. McNaughton, Hervé Cadiou, Joel C. Glover, Kenneth J. Muller, J.R.T. Greene, Alan U. Larkman and L.D. Leake. Their work appears in journals such as Brain Research, Journal of Neuroscience, Developmental Biology, Journal of Neurophysiology and Neuroscience Research.

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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