A.R. Mayes

1.7k citations
25 papers · 1.3k indexed · h-index 13

A.R. Mayes

23 papers receiving 1.2k citations

Peers

A.R. Mayes
Comparison fields: 5 of 69
  • Cognitive Neuroscience 1.0k
  • Cellular and Molecular Neuroscience 347
  • Behavioral Neuroscience 40
  • Neurology 168
  • Sensory Systems 49
Replace Clémence Isaac with:
Clémence Isaac United Kingdom
Miroslav Kalina Czechia
Enis Cezayirli United Kingdom
Sebastian Guderian Germany
Cory S. Inman United States
J.S. Holdstock United Kingdom
Naomi J. Goodrich‐Hunsaker United States
Mark Kritchevsky United States
Katrina Keil United States
Ana María Insausti Serrano Spain
A.R. Mayes relative to Clémence Isaac United Kingdom Clémence Isaac's profile →
Citations per field
00.5×3.1×
Clémence Isaac · 1×
Citations per year

Countries citing papers authored by A.R. Mayes

Since Specialization
Citations

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

Fields of papers citing papers by A.R. Mayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.R. Mayes. 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 A.R. Mayes. The network helps show where A.R. Mayes may publish in the future.

Co-authorship network

The 25 scholars most cited alongside A.R. Mayes, 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 A.R. Mayes Line = papers co-authored together A.R. Mayes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 201710
4
Quality of life following cancer treatment: impact of illness perceptions, distress, fatigue, and cognitive failures
20150
5 2004121
6 2002236
7 2002216
8
Exploring the Neural Bases of Complex Memory.
20023
9
Prefrontal cortical activation during word-associative, face-associative, and word-face-associative encoding
20012
10 200116
11 2000189
12 20007
13 199960
14 19985
15 199517
16 19932
17 19914
18 198914
19 1985136
20 198560

About A.R. Mayes

A.R. Mayes is a scholar working on Cognitive Neuroscience, Behavioral Neuroscience, Automotive Engineering, Developmental Neuroscience and Sensory Systems, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (11 papers), Memory Processes and Influences (9 papers), Neurobiology of Language and Bilingualism (6 papers), Spatial Cognition and Navigation (3 papers), Medical Imaging Techniques and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Intracranial Aneurysms: Treatment and Complications (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.0k citations), Cellular and Molecular Neuroscience (347 citations), Behavioral Neuroscience (40 citations), Neurology (168 citations) and Sensory Systems (49 citations). A.R. Mayes has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include J.S. Holdstock, Clémence Isaac, Enis Cezayirli, Nicholas Roberts, Alan D. Pickering, Neil Roberts, John P. Aggleton, H. J. Sagar, Qiyong Gong and Narinder Kapur. Their work appears in journals such as Cortex, Hippocampus, NeuroImage, Neuropsychologia and Behavioural Neurology.

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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