Sheila King

741 citations
31 papers · 551 · h-index 15

Impact in

Papers in

    • Memory and Neural Mechanisms 6
    • Visual perception and processing mechanisms 5
    • Neural dynamics and brain function 4
    • Education Systems and Policy 6
    • Indigenous and Place-Based Education 3

Sheila King

27 papers receiving 518 citations

Peers

Sheila King
Comparison fields: 5 of 99
  • Behavioral Neuroscience 62
  • Cognitive Neuroscience 204
  • Cellular and Molecular Neuroscience 149
  • Biological Psychiatry 13
  • Sensory Systems 26
Replace Michael J. Galsworthy with:
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Sheila King relative to Michael J. Galsworthy United Kingdom Michael J. Galsworthy's profile →
Citations per field
00.5×1.5×
Michael J. Galsworthy · 1×
Citations per year

Countries citing papers authored by Sheila King

Since Specialization
Citations

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

Fields of papers citing papers by Sheila King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200168
2 199254
3 199252
4 199648
5 199840
6 200036
7 199232
8 199830
9 200223
10 200223
11 199122
12 199622
13 200621
14 200018
15 200215
16 199614
17
Screening Mammography Program of British Columbia: pattern of use and health care system costs.
19998
18 20045
19
Partnerships, technology and teaching: celebrating the link between universities and rural communities
19975
20 19995

About Sheila King

Sheila King is a scholar working on Cognitive Neuroscience, Education, Cellular and Molecular Neuroscience, Oncology and Sociology and Political Science, having authored 31 papers that have together received 551 indexed citations. Recurring topics across this work include Education Systems and Policy (6 papers), Memory and Neural Mechanisms (6 papers), Visual perception and processing mechanisms (5 papers), Neural dynamics and brain function (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Global Cancer Incidence and Screening (3 papers), Indigenous and Place-Based Education (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Behavioral Neuroscience (62 citations), Cognitive Neuroscience (204 citations), Cellular and Molecular Neuroscience (149 citations), Biological Psychiatry (13 citations) and Sensory Systems (26 citations). Sheila King has collaborated with scholars based in United Kingdom, Canada and Australia. Frequent co-authors include Nicholas Jones, Alan Cowey, Paul Dean, Peter Redgrave, Mark Duxon, Paul Azzopardi, J.M. Oxbury, Susan Oxbury, Ivo A. Olivotto and Safa Shehab. Their work appears in journals such as Behavioural Brain Research, International Research in Geographical and Environmental Education, Psychopharmacology, Neuropsychologia and Physiology & Behavior.

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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