M. Lavender
Impact in
- Pharmacology top 5%
- Musculoskeletal pain and rehabilitation
-
- Healthcare Quality and Management
Papers in
-
- Innovations in Medical Education 1
- Opioid Use Disorder Treatment 1
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- Musculoskeletal pain and rehabilitation 2
- Co-authors
- Richard Thomson (1 shared paper)Rajan Madhok (1 shared paper)John Dixon (1 shared paper)D. Ellington (1 shared paper)Kay Cooper (1 shared paper)James A. Watson (1 shared paper)Cormac Ryan (1 shared paper)Lesley Cooper (1 shared paper)
- Journals
- Journal of Pain (1 paper)Journal of Public Health (1 paper)Journal of Epidemiology & Community Health (1 paper)BMJ (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
M. Lavender
5 papers receiving 415 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Pharmacology 211
- Health Information Management 31
- Psychiatry and Mental health 81
- Cognitive Neuroscience 82
- Public Health, Environmental and Occupational Health 122
Countries citing papers authored by M. Lavender
This map shows the geographic impact of M. Lavender'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 M. Lavender with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Lavender more than expected).
Fields of papers citing papers by M. Lavender
This network shows the impact of papers produced by M. Lavender. 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 M. Lavender. The network helps show where M. Lavender may publish in the future.
Co-authors
The 12 scholars most cited alongside M. Lavender, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Pain Neuroscience Education for Adults With Chronic Musculoskeletal Pain: A Mixed-Methods Systematic Review and Meta-Analysis Hit paper breakdown → | 2019 | 269 |
| 2 | 1995 | 155 | |
| 3 | 1997 | 5 | |
| 4 | 1996 | 4 | |
| 5 | The stratification of pain management programmes: A solution to the supply-demand issue? | 2019 | 1 |
About M. Lavender
M. Lavender is a scholar working on Public Health, Environmental and Occupational Health, Pharmacology, General Health Professions, Economics and Econometrics and Clinical Psychology, having authored 5 papers that have together received 434 indexed citations. Recurring topics across this work include Primary Care and Health Outcomes (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Pain Management and Placebo Effect (1 paper), Migration, Health and Trauma (1 paper), Innovations in Medical Education (1 paper), Healthcare Policy and Management (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Opioid Use Disorder Treatment (1 paper). The work is most often cited by research in Pharmacology (211 citations), Health Information Management (31 citations), Psychiatry and Mental health (81 citations), Cognitive Neuroscience (82 citations) and Public Health, Environmental and Occupational Health (122 citations). M. Lavender has collaborated with scholars based in United Kingdom. Frequent co-authors include Richard Thomson, Rajan Madhok, John Dixon, D. Ellington, Kay Cooper, James A. Watson, Cormac Ryan, Lesley Cooper, Denis Martin and Greg Atkinson. Their work appears in journals such as Journal of Pain, Journal of Public Health, Journal of Epidemiology & Community Health and BMJ.
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.