Mark Porcheret

2.8k total citations · 1 hit paper
36 papers, 1.9k citations indexed

About

Mark Porcheret is a scholar working on General Health Professions, Pharmacology and Rheumatology. According to data from OpenAlex, Mark Porcheret has authored 36 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in General Health Professions, 14 papers in Pharmacology and 14 papers in Rheumatology. Recurrent topics in Mark Porcheret's work include Osteoarthritis Treatment and Mechanisms (13 papers), Clinical practice guidelines implementation (12 papers) and Musculoskeletal pain and rehabilitation (11 papers). Mark Porcheret is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (13 papers), Clinical practice guidelines implementation (12 papers) and Musculoskeletal pain and rehabilitation (11 papers). Mark Porcheret collaborates with scholars based in United Kingdom, Australia and Romania. Mark Porcheret's co-authors include Kelvin P. Jordan, Peter Croft, Umesh Kadam, Krysia Dziedzic, Richard Hayward, Catherine Young, Clare Jinks, Philip G. Conaghan, Chris J. Main and Weiya Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Social Science & Medicine and Annals of the Rheumatic Diseases.

In The Last Decade

Mark Porcheret

36 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Paracetamol: not as safe as we thought? A systematic literature review of observational studies

2015 290 citations Michael Doherty, Weiya Zhang et al. Annals of the Rheumatic Diseases profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Porcheret United Kingdom	19	812	626	434	399	348	36	1.9k
Stéphane Poitras Canada	26	937 1.2×	189 0.3×	383 0.9×	663 1.7×	351 1.0×	99	2.1k
Gustavo C Machado Australia	29	1.9k 2.3×	345 0.6×	502 1.2×	585 1.5×	365 1.0×	95	3.1k
Pamela A. Semanik United States	26	370 0.5×	943 1.5×	251 0.6×	409 1.0×	285 0.8×	52	2.2k
Fraser Birrell United Kingdom	29	578 0.7×	1.3k 2.1×	117 0.3×	1.1k 2.7×	174 0.5×	71	2.8k
Mayilée Cañizares Canada	16	262 0.3×	329 0.5×	233 0.5×	570 1.4×	157 0.5×	63	1.3k
Bethan Richards Australia	19	483 0.6×	284 0.5×	165 0.4×	179 0.4×	184 0.5×	65	1.1k
Johanna M. van Dongen Netherlands	24	680 0.8×	107 0.2×	496 1.1×	384 1.0×	246 0.7×	127	2.0k
Justine Naylor Australia	34	295 0.4×	355 0.6×	296 0.7×	2.2k 5.4×	358 1.0×	170	3.2k
Marc Dorais Canada	31	481 0.6×	987 1.6×	129 0.3×	675 1.7×	174 0.5×	123	2.8k
Hind T. Hatoum United States	24	338 0.4×	389 0.6×	188 0.4×	421 1.1×	142 0.4×	72	2.0k

Countries citing papers authored by Mark Porcheret

Since Specialization

Citations

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

Fields of papers citing papers by Mark Porcheret

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Porcheret

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Porcheret. A scholar is included among the top collaborators of Mark Porcheret 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 Mark Porcheret. Mark Porcheret is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sakellariou, Garifallia, Philip G. Conaghan, Weiya Zhang, et al.. (2017). EULAR recommendations for the use of imaging in the clinical management of peripheral joint osteoarthritis. Annals of the Rheumatic Diseases. 76(9). 1484–1494. 181 indexed citations

Jordan, Kelvin P., John Edwards, Mark Porcheret, et al.. (2017). Effect of a model consultation informed by guidelines on recorded quality of care of osteoarthritis (MOSAICS): a cluster randomised controlled trial in primary care. Osteoarthritis and Cartilage. 25(10). 1588–1597. 18 indexed citations

Dziedzic, Krysia, Emma L. Healey, Mark Porcheret, et al.. (2017). Implementing core NICE guidelines for osteoarthritis in primary care with a model consultation (MOSAICS): a cluster randomised controlled trial. Osteoarthritis and Cartilage. 26(1). 43–53. 40 indexed citations

Cottrell, Elizabeth, Nadine E. Foster, Mark Porcheret, Trishna Rathod‐Mistry, & Edward Roddy. (2017). GPs' attitudes, beliefs and behaviours regarding exercise for chronic knee pain: a questionnaire survey. BMJ Open. 7(6). e014999–e014999. 32 indexed citations

Healey, Emma L., Chris J. Main, Sarah Ryan, et al.. (2016). A nurse-led clinic for patients consulting with osteoarthritis in general practice: development and impact of training in a cluster randomised controlled trial. BMC Family Practice. 17(1). 173–173. 12 indexed citations

Cottrell, Elizabeth, Edward Roddy, Trishna Rathod‐Mistry, Mark Porcheret, & Nadine E. Foster. (2016). What influences general practitioners’ use of exercise for patients with chronic knee pain? Results from a national survey. BMC Family Practice. 17(1). 172–172. 24 indexed citations

Jordan, Kelvin P., John Edwards, Ying Chen, et al.. (2015). Influences on the decision to use an osteoarthritis diagnosis in primary care: a cohort study with linked survey and electronic health record data. Osteoarthritis and Cartilage. 24(5). 786–793. 20 indexed citations

Morden, Andrew, et al.. (2015). Research “push”, long term-change, and general practice. Journal of Health Organization and Management. 29(7). 798–821. 15 indexed citations

Cottrell, Elizabeth, Edward Roddy, Trishna Rathod‐Mistry, et al.. (2015). Maximising response from GPs to questionnaire surveys: do length or incentives make a difference?. BMC Medical Research Methodology. 15(1). 3–3. 37 indexed citations

10.

Morden, Andrew, Clare Jinks, Bie Nio Ong, Mark Porcheret, & Krysia Dziedzic. (2014). Acceptability of a ‘guidebook’ for the management of Osteoarthritis: a qualitative study of patient and clinician’s perspectives. BMC Musculoskeletal Disorders. 15(1). 427–427. 14 indexed citations

11.

Porcheret, Mark, Chris J. Main, Peter Croft, et al.. (2014). Development of a behaviour change intervention: a case study on the practical application of theory. Implementation Science. 9(1). 42–42. 54 indexed citations

12.

Hayward, Richard, Mark Porcheret, Christian Mallen, & Elaine Thomas. (2012). Recruiting patients and collecting data for an observational study using computerised record pop-up prompts: the PROG-RES study. Primary Health Care Research & Development. 14(1). 21–28. 4 indexed citations

13.

Jinks, Clare, Kanchan Vohora, Julie Young, et al.. (2011). Inequalities in primary care management of knee pain and disability in older adults: an observational cohort study. Lara D. Veeken. 50(10). 1869–1878. 15 indexed citations

14.

Main, Chris J., Rachelle Buchbinder, Mark Porcheret, & Nadine E. Foster. (2010). Addressing patient beliefs and expectations in the consultation. Best Practice & Research Clinical Rheumatology. 24(2). 219–225. 65 indexed citations

15.

Jordan, Kelvin P., AM Clarke-Cornwell, Deborah Symmons, et al.. (2007). Measuring disease prevalence: a comparison of musculoskeletal disease using four general practice consultation databases.. PubMed. 57(534). 7–14. 151 indexed citations

16.

Mallen, Christian, George Peat, & Mark Porcheret. (2007). Chronic knee pain. BMJ. 335(7614). 303–303. 5 indexed citations

17.

Mallen, Christian, George Peat, Mark Porcheret, & Peter Croft. (2007). The prognosis of joint pain in the older patient: General practitioners’ views on discussing and estimating prognosis. European Journal of General Practice. 13(3). 166–168. 7 indexed citations

18.

Porcheret, Mark, Kelvin P. Jordan, & Clare Jinks. (2007). Primary care treatment of knee pain a survey in older adults. Lara D. Veeken. 46(11). 1694–1700. 97 indexed citations

19.

Porcheret, Mark, Kelvin P. Jordan, & Peter Croft. (2006). Treatment of knee pain in older adults in primary care: development of an evidence-based model of care. Lara D. Veeken. 46(4). 638–648. 50 indexed citations

20.

Porcheret, Mark, et al.. (2003). Data Quality of General Practice Electronic Health Records: The Impact of a Program of Assessments, Feedback, and Training. Journal of the American Medical Informatics Association. 11(1). 78–86. 125 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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