John McBeth

11.5k total citations · 2 hit papers
167 papers, 7.7k citations indexed

About

John McBeth is a scholar working on Psychiatry and Mental health, Pharmacology and General Health Professions. According to data from OpenAlex, John McBeth has authored 167 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Psychiatry and Mental health, 78 papers in Pharmacology and 34 papers in General Health Professions. Recurrent topics in John McBeth's work include Fibromyalgia and Chronic Fatigue Syndrome Research (77 papers), Musculoskeletal pain and rehabilitation (75 papers) and Psychosomatic Disorders and Their Treatments (27 papers). John McBeth is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (77 papers), Musculoskeletal pain and rehabilitation (75 papers) and Psychosomatic Disorders and Their Treatments (27 papers). John McBeth collaborates with scholars based in United Kingdom, United States and Italy. John McBeth's co-authors include Gary J. Macfarlane, Alan J. Silman, Kelly A. Jones, Chris Dickens, Richard Morriss, Barbara I. Nicholl, Ross Wilkie, Sidney Benjamin, David Ray and Terence W O’Neill and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

John McBeth

158 papers receiving 7.4k 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.

Epidemiology of chronic musculoskeletal pain

2007 451 citations John McBeth et al. profile →
Update on the epidemiology, risk factors and disease outcomes of osteoarthritis

2018 298 citations Terence W O’Neill, John McBeth et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John McBeth United Kingdom	50	3.5k	3.2k	1.2k	1.0k	683	167	7.7k
H. Susan J. Picavet Netherlands	44	3.1k 0.9×	1.9k 0.6×	1.1k 1.0×	1.5k 1.5×	441 0.6×	126	7.9k
Debra K. Weiner United States	46	4.0k 1.2×	1.6k 0.5×	928 0.8×	583 0.6×	902 1.3×	134	7.0k
Tamar Pincus United Kingdom	40	4.7k 1.3×	2.2k 0.7×	551 0.5×	997 1.0×	1.4k 2.0×	144	6.7k
Michael E. Geisser United States	46	3.8k 1.1×	2.4k 0.7×	814 0.7×	531 0.5×	1.3k 1.9×	129	6.2k
Kate M. Dunn United Kingdom	56	8.1k 2.3×	3.1k 0.9×	948 0.8×	1.6k 1.5×	1.3k 1.9×	175	12.8k
Thomas E. Rudy United States	43	5.0k 1.4×	2.6k 0.8×	1.1k 1.0×	837 0.8×	1.8k 2.6×	119	8.1k
Mariëlle E. J. B. Goossens Netherlands	34	4.0k 1.1×	1.8k 0.6×	681 0.6×	714 0.7×	1.2k 1.7×	89	6.3k
Erin E. Krebs United States	47	3.2k 0.9×	1.3k 0.4×	755 0.6×	1.0k 1.0×	652 1.0×	127	7.6k
Paulo H. Ferreira Australia	51	6.6k 1.9×	1.9k 0.6×	1.2k 1.0×	1.1k 1.1×	857 1.3×	285	10.4k
Kathleen Saunders United States	42	2.7k 0.8×	1.4k 0.4×	1.1k 0.9×	1.2k 1.1×	483 0.7×	76	9.1k

Countries citing papers authored by John McBeth

Since Specialization

Citations

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

Fields of papers citing papers by John McBeth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John McBeth

This figure shows the co-authorship network connecting the top 25 collaborators of John McBeth. A scholar is included among the top collaborators of John McBeth 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 John McBeth. John McBeth 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

Yimer, Belay Birlie, Fangyuan Zhang, Jennifer Humphreys, et al.. (2025). Improving disease misclassification and prevalence estimates by linking primary and secondary care electronic health records: an illustration from arthritis research. American Journal of Epidemiology. 194(12). 3640–3645.

Ali, Rahman, et al.. (2024). MSR79 Deploy-AI: A Framework and Future Checklist for Facilitating Deployment of Clinical Prediction Models. Value in Health. 27(12). S453–S453.

Bullock, Laurna, Melanie Holden, Clare Jinks, et al.. (2024). Physiotherapists' Experiences and Perceived Acceptability of Delivering a Knee Bracing Intervention for People With Symptomatic Knee Osteoarthritis in a Randomised Trial (PROP OA): A Qualitative Study. Musculoskeletal Care. 22(4). e70021–e70021.

Veer, Sabine N van der, Syed Mustafa Ali, John McBeth, et al.. (2024). Reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting. PAIN Reports. 9(2). e1131–e1131. 1 indexed citations

Dochat, Cara, Niloofar Afari, Rose‐Marie Satherley, Shayna S. Coburn, & John McBeth. (2024). Celiac disease symptom profiles and their relationship to gluten-free diet adherence, mental health, and quality of life. BMC Gastroenterology. 24(1). 9–9. 6 indexed citations

McBeth, John, et al.. (2024). Use of over-the-counter supplements, sleep aids and analgesic medicines in rheumatology: results of a cross-sectional survey. Rheumatology Advances in Practice. 8(4). rkae129–rkae129. 1 indexed citations

Kenning, Cassandra, Peter Bower, Nicola Small, et al.. (2024). Users’ views on the use of a smartwatch app to collect daily symptom data in individuals with multiple long-term conditions (Multimorbidity): A qualitative study. SHILAP Revista de lepidopterología. 14. 2593187306–2593187306. 1 indexed citations

Veer, Sabine N van der, et al.. (2022). Using patient-reported data from a smartphone app to capture and characterize real-time patient-reported flares in rheumatoid arthritis. Rheumatology Advances in Practice. 6(1). rkac021–rkac021. 9 indexed citations

McBeth, John, William G Dixon, Bruce Hellman, et al.. (2021). Sleep Disturbance and Quality of Life in Rheumatoid Arthritis: Prospective mHealth Study. Journal of Medical Internet Research. 24(4). e32825–e32825. 20 indexed citations

10.

Gregory, William J, et al.. (2021). POS0980 ANALYSIS OF PRIMARY CARE CONSULTATION PATTERNS TO AID DIAGNOSIS OF AXIAL SPONDYLOARTHRITIS – AN EXPLORATORY CASE SERIES. Annals of the Rheumatic Diseases. 80. 757–757. 1 indexed citations

11.

Schultz, David M., Anna L. Beukenhorst, Belay Birlie Yimer, et al.. (2020). Weather Patterns Associated with Pain in Chronic-Pain Sufferers. Bulletin of the American Meteorological Society. 101(5). E555–E566. 15 indexed citations

12.

McDonagh, J. E. R., et al.. (2020). Characterizing pain flares in adolescent inflammatory and non‐inflammatory musculoskeletal disorders: A qualitative study using an interpretative phenomenological approach. European Journal of Pain. 24(9). 1785–1796. 4 indexed citations

13.

Beukenhorst, Anna L., Kelly Howells, L. M. Cook, et al.. (2019). Engagement and Participant Experiences With Consumer Smartwatches for Health Research: Longitudinal, Observational Feasibility Study. JMIR mhealth and uhealth. 8(1). e14368–e14368. 42 indexed citations

14.

Beukenhorst, Anna L., M.J. Parkes, L. M. Cook, et al.. (2018). Collecting Symptoms and Sensor Data With Consumer Smartwatches (the Knee OsteoArthritis, Linking Activity and Pain Study): Protocol for a Longitudinal, Observational Feasibility Study. JMIR Research Protocols. 8(1). e10238–e10238. 15 indexed citations

15.

Mason, K.J., Terence W O’Neill, Mark Lunt, Anthony Jones, & John McBeth. (2018). Psychosocial factors partially mediate the relationship between mechanical hyperalgesia and self-reported pain. Scandinavian Journal of Pain. 18(1). 59–69. 17 indexed citations

16.

Druce, Katie L., John McBeth, Sabine N van der Veer, et al.. (2017). Recruitment and Ongoing Engagement in a UK Smartphone Study Examining the Association Between Weather and Pain: Cohort Study. JMIR mhealth and uhealth. 5(11). e168–e168. 39 indexed citations

17.

Spencer, Karen, Jamie C. Sergeant, Matthew Sperrin, et al.. (2017). Cloudy with a Chance of Pain: Engagement and Subsequent Attrition of Daily Data Entry in a Smartphone Pilot Study Tracking Weather, Disease Severity, and Physical Activity in Patients With Rheumatoid Arthritis. JMIR mhealth and uhealth. 5(3). e37–e37. 50 indexed citations

18.

McBeth, John, et al.. (2004). Hypothalmic-pituitary-adrenal stress axis function - the relationship with chronic widespread pain and its antecedents: a population-based study.. Lara D. Veeken. 43. 7–7. 2 indexed citations

19.

Harkness, Elaine F., E S Nahit, C Pritchard, et al.. (2002). MECHANICAL AND PSYCHOSOCIAL RISK FACTORS AS PREDICTORS OF NEW ONSET SHOULDER PAIN IN OCCUPATIONAL SETTINGS. Lara D. Veeken. 41. 47–47. 1 indexed citations

20.

McBeth, John, et al.. (1997). Psychiatric morbidity, adverse childhood experiences and chronic widespread pain.. Arthritis & Rheumatism. 40. 74–74. 1 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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