Liz McNeill

718 total citations
38 papers, 493 citations indexed

About

Liz McNeill is a scholar working on Physiology, Education and General Health Professions. According to data from OpenAlex, Liz McNeill has authored 38 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 10 papers in Education and 6 papers in General Health Professions. Recurrent topics in Liz McNeill's work include Simulation-Based Education in Healthcare (7 papers), Multiple Sclerosis Research Studies (3 papers) and Online and Blended Learning (3 papers). Liz McNeill is often cited by papers focused on Simulation-Based Education in Healthcare (7 papers), Multiple Sclerosis Research Studies (3 papers) and Online and Blended Learning (3 papers). Liz McNeill collaborates with scholars based in Australia, United Kingdom and United States. Liz McNeill's co-authors include Paul N. Bennett, Linda Sweet, Alison Hutton, Kristen Graham, Shanna Fealy, Donovan Jones, Michael Hazelton, John V. Booth, Kenneth S. James and Maree Gosper and has published in prestigious journals such as International Journal of Environmental Research and Public Health, British Journal of Anaesthesia and Journal of the Neurological Sciences.

In The Last Decade

Liz McNeill

33 papers receiving 458 citations

Peers

Liz McNeill
Comparison fields: 5 of 106
  • Physiology 158
  • Surgery 116
  • Education 110
  • Nephrology 66
  • Public Health, Environmental and Occupational Health 63
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Citations per field, relative to Liz McNeill
Liz McNeill · 1×
Citations per year, relative to Liz McNeill
Liz McNeill · 1×

Countries citing papers authored by Liz McNeill

Since Specialization
Citations

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

Fields of papers citing papers by Liz McNeill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liz McNeill

This figure shows the co-authorship network connecting the top 25 collaborators of Liz McNeill. A scholar is included among the top collaborators of Liz McNeill 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 Liz McNeill. Liz McNeill 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
# Work Indexed citations
1 1
2 1
3 2
4 28
5 16
6 7
7 2
8 111
9 12
10 2
11
RE-DO STATIONS AFTER HIGH-FIDELITY SIMULATION DEBRIEF IN NURSING EDUCATION.
2
12
Do students want and need written feedback on summative assignments? Engaging students with the feedback process - a topic review activity
5
13 25
14 1
15 72
16 28
17 2
18 7
19 26
20
Improving the cost model development procedure.
6

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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