Paula Murray

27 papers receiving 293 citations

Peers

Paula Murray
Comparison fields: 5 of 71
  • Statistics and Probability 47
  • Research and Theory 3
  • Pediatrics, Perinatology and Child Health 46
  • Cancer Research 30
  • Artificial Intelligence 61
Replace Sara Geneletti with:
Sara Geneletti United Kingdom
Isabel Chien United States
Seong-Ju Kim South Korea
Benjamin Gregory Carlisle Canada
Kathryn Teng United States
Cheryl L. Faucett United States
Cui Guo United States
Inger Persson Sweden
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Paula Murray relative to Sara Geneletti United Kingdom Sara Geneletti's profile →
Citations per field
00.5×2.7×
Sara Geneletti · 1×
Citations per year

Countries citing papers authored by Paula Murray

Since Specialization
Citations

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

Fields of papers citing papers by Paula Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201455
2 201045
3 202030
4 201929
5 202027
6 202011
7 201710
8 202110
9 20229
10 20209
11 20229
12 20237
13 20196
14 20206
15 20205
16 20225
17 20224
18 19864
19 19994
20 20203

About Paula Murray

Paula Murray is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Sociology and Political Science, Oncology and Epidemiology, having authored 27 papers that have together received 297 indexed citations. Recurring topics across this work include Childhood Cancer Survivors' Quality of Life (9 papers), Palliative Care and End-of-Life Issues (3 papers), Family Support in Illness (3 papers), Colorectal Cancer Screening and Detection (2 papers), Clinical practice guidelines implementation (2 papers), Bayesian Methods and Mixture Models (2 papers), Simulation-Based Education in Healthcare (1 paper) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Statistics and Probability (47 citations), Research and Theory (3 citations), Pediatrics, Perinatology and Child Health (46 citations), Cancer Research (30 citations) and Artificial Intelligence (61 citations). Paula Murray has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Ryan P. Browne, Paul D. McNicholas, Jennifer Baird, Jessica Ward, Rebecca Edwards, Adelais Markaki, Johanna Olson-Kennedy, Zhanhai Li, Elizabeth Gilger and Jennifer L. Raybin. Their work appears in journals such as Cancer Nursing, Journal of Pediatric Oncology Nursing, American Journal of Critical Care, Biology of Blood and Marrow Transplantation and Journal for Nurses in Professional Development.

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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