Claire Marsh

979 total citations
23 papers, 670 citations indexed

About

Claire Marsh is a scholar working on General Health Professions, Emergency Medical Services and Health Information Management. According to data from OpenAlex, Claire Marsh has authored 23 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 8 papers in Emergency Medical Services and 7 papers in Health Information Management. Recurrent topics in Claire Marsh's work include Patient Safety and Medication Errors (7 papers), Healthcare Quality and Management (7 papers) and Emergency and Acute Care Studies (5 papers). Claire Marsh is often cited by papers focused on Patient Safety and Medication Errors (7 papers), Healthcare Quality and Management (7 papers) and Emergency and Acute Care Studies (5 papers). Claire Marsh collaborates with scholars based in United Kingdom, Australia and Ireland. Claire Marsh's co-authors include Laura Sheard, Rebecca Lawton, Gerry Armitage, John Wright, Jane O’Hara, Ian Watt, Caroline Reynolds, Rosemary Peacock, Sally Moore and Hiroaki Fujii and has published in prestigious journals such as SHILAP Revista de lepidopterología, Social Science & Medicine and BMC Medical Research Methodology.

In The Last Decade

Claire Marsh

22 papers receiving 656 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Claire Marsh United Kingdom 14 338 162 155 98 75 23 670
Kunichika Matsumoto Japan 13 155 0.5× 99 0.6× 78 0.5× 30 0.3× 50 0.7× 48 530
Anne Rzeszut United States 12 207 0.6× 72 0.4× 70 0.5× 46 0.5× 332 4.4× 24 801
Jalal Arabloo Iran 11 106 0.3× 55 0.3× 44 0.3× 28 0.3× 60 0.8× 63 372
Farbod Ebadifard Azar Iran 12 121 0.4× 162 1.0× 45 0.3× 35 0.4× 112 1.5× 38 455
Janet Helduser United States 12 320 0.9× 52 0.3× 21 0.1× 14 0.1× 130 1.7× 21 725
Serkan Bodur Türkiye 11 68 0.2× 129 0.8× 114 0.7× 67 0.7× 173 2.3× 43 593
Gordon Mosser United States 9 327 1.0× 50 0.3× 24 0.2× 60 0.6× 189 2.5× 13 690
Natalie A. Rivadeneira United States 13 226 0.7× 44 0.3× 30 0.2× 21 0.2× 100 1.3× 26 454
Bahram Delgoshaei Iran 12 162 0.5× 72 0.4× 53 0.3× 45 0.5× 72 1.0× 41 392
Jacqueline R. Halladay United States 15 349 1.0× 30 0.2× 12 0.1× 15 0.2× 146 1.9× 55 713

Countries citing papers authored by Claire Marsh

Since Specialization
Citations

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

Fields of papers citing papers by Claire Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire Marsh

This figure shows the co-authorship network connecting the top 25 collaborators of Claire Marsh. A scholar is included among the top collaborators of Claire Marsh 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 Claire Marsh. Claire Marsh 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
1.
Dyson, Judith, Carolyn McCrorie, Jonathan Benn, et al.. (2023). Implementation and clinical utility of a Computer-Aided Risk Score for Mortality (CARM): a qualitative study. BMJ Open. 13(1). e061298–e061298.
2.
Sheard, Laura, Claire Marsh, Thomas Mills, et al.. (2019). Using patient experience data to develop a patient experience toolkit to improve hospital care: a mixed-methods study. SHILAP Revista de lepidopterología. 7(36). 1–104. 22 indexed citations
3.
Louch, Gemma, Caroline Reynolds, Sally Moore, et al.. (2019). Validation of revised patient measures of safety: PMOS-30 and PMOS-10. BMJ Open. 9(11). e031355–e031355. 9 indexed citations
5.
Sheard, Laura & Claire Marsh. (2019). How to analyse longitudinal data from multiple sources in qualitative health research: the pen portrait analytic technique. BMC Medical Research Methodology. 19(1). 169–169. 49 indexed citations
6.
Marsh, Claire, et al.. (2019). Patient experience feedback in UK hospitals: What types are available and what are their potential roles in quality improvement (QI)?. Health Expectations. 22(3). 317–326. 31 indexed citations
7.
Attrill, Stacie, Chris Brebner, & Claire Marsh. (2018). Learning from students: Facilitators’ learning in interprofessional placements. Journal of Interprofessional Care. 32(5). 603–612. 6 indexed citations
9.
O’Hara, Jane, Caroline Reynolds, Sally Moore, et al.. (2018). What can patients tell us about the quality and safety of hospital care? Findings from a UK multicentre survey study. BMJ Quality & Safety. 27(9). 673–682. 88 indexed citations
10.
Sheard, Laura, Claire Marsh, Jane O’Hara, et al.. (2017). Exploring how ward staff engage with the implementation of a patient safety intervention: a UK-based qualitative process evaluation. BMJ Open. 7(7). e014558–e014558. 24 indexed citations
11.
Sheard, Laura, Claire Marsh, Jane O’Hara, et al.. (2017). The Patient Feedback Response Framework – Understanding why UK hospital staff find it difficult to make improvements based on patient feedback: A qualitative study. Social Science & Medicine. 178. 19–27. 80 indexed citations
12.
Lawton, Rebecca, Jane O’Hara, Laura Sheard, et al.. (2017). Can patient involvement improve patient safety? A cluster randomised control trial of the Patient Reporting and Action for a Safe Environment (PRASE) intervention. BMJ Quality & Safety. 26(8). 622–631. 94 indexed citations
13.
O’Hara, Jane, Rebecca Lawton, Gerry Armitage, et al.. (2016). The patient reporting and action for a safe environment (PRASE) intervention: a feasibility study. BMC Health Services Research. 16(1). 676–676. 23 indexed citations
14.
Wright, John, Rebecca Lawton, Jane O’Hara, et al.. (2016). Patient and staff questionnaires. 1 indexed citations
15.
Segal, Leonie, et al.. (2016). The real cost of training health professionals in Australia: it costs as much to build a dietician workforce as a dental workforce. Journal of Health Services Research & Policy. 22(2). 91–98. 15 indexed citations
16.
Marsh, Claire, Jim J. Wang, James Kollias, et al.. (2010). Disparities in access to breast care nurses for breast surgeons: A National Breast Cancer Audit survey. The Breast. 19(2). 142–146. 1 indexed citations
17.
Wang, Jim J., James Kollias, Claire Marsh, & Guy J. Maddern. (2009). Are males with early breast cancer treated differently from females with early breast cancer in Australia and New Zealand?. The Breast. 18(6). 378–381. 15 indexed citations
18.
Marsh, Claire, Margaret Boult, Jim X. Wang, et al.. (2008). National Breast Cancer Audit: the use of multidisciplinary care teams by breast surgeons in Australia and New Zealand. The Medical Journal of Australia. 188(7). 385–388. 13 indexed citations
19.
Griffiths, T.R. Leyshon, et al.. (1998). MDM2 and p53 immunoreactivity; independent predictors of stage progression in pTl bladder cancer (TCC). 81. 16. 2 indexed citations
20.
Fujii, Hiroaki, et al.. (1996). Genetic progression, histological grade, and allelic loss in ductal carcinoma in situ of the breast.. PubMed. 56(22). 5260–5. 89 indexed citations

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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