KM Dunn

11 papers receiving 268 citations

Peers

KM Dunn
Comparison fields: 5 of 44
  • Endocrine and Autonomic Systems 85
  • Physiology 193
  • Orthopedics and Sports Medicine 31
  • Pulmonary and Respiratory Medicine 63
  • Speech and Hearing 12
Replace A. Okegwo with:
A. Okegwo Germany
Raphael R. Perim United States
Olga Hatzizisi Greece
R.P. Allen United States
F. Ru United States
Mario Francesco Damiani Italy
Chengjuan Xie China
I Clement United Kingdom
P Sliwiński Poland
KM Dunn relative to A. Okegwo Germany A. Okegwo's profile →
Citations per field
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Citations per year

Countries citing papers authored by KM Dunn

Since Specialization
Citations

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

Fields of papers citing papers by KM Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1998200
2 201132
3 199930
4 20164
5
A RANDOMISED CONTROLLED TRIAL AND ECONOMIC EVALUATION OF STRATIFIED PRIMARY CARE MANAGEMENT FOR LOW BACK PAIN COMPARED WITH CURRENT BEST PRACTICE: THE START BACK TRIAL [ISRCTN37113406]
20183
6 19992
7 19992
8
A RANDOMISED CONTROLLED TRIAL AND ECONOMIC EVALUATION OF STRATIFIED PRIMARY CARE MANAGEMENT FOR LOW BACK PAIN COMPARED WITH CURRENT BEST PRACTICE: THE START BACK TRIAL [ISRCTN37113406]
20131
9
STRATIFIED CARE FOR PATIENTS WITH BACK, NECK, KNEE, SHOULDER OR MULTI-SITE PAIN: THE START MSK FEASIBILITY/PILOT RANDOMIZED CONTROLLED TRIAL (ISRCTN15366334)
20191
10
Personalizing retrieval of journal articles for patient care.
20011
11 20191

About KM Dunn

KM Dunn is a scholar working on Pharmacology, Pathology and Forensic Medicine, Molecular Biology, Economics and Econometrics and Orthopedics and Sports Medicine, having authored 11 papers that have together received 277 indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (5 papers), Spine and Intervertebral Disc Pathology (3 papers), Foot and Ankle Surgery (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Facial Rejuvenation and Surgery Techniques (1 paper), Orthopedic Surgery and Rehabilitation (1 paper), Pain Management and Treatment (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (85 citations), Physiology (193 citations), Orthopedics and Sports Medicine (31 citations), Pulmonary and Respiratory Medicine (63 citations) and Speech and Hearing (12 citations). KM Dunn has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Francine M. Ducharme, G. Edwards, Thomas A. Longden, Mark T. Nelson, Paul Campbell, Nadine E. Foster, Stephen Bridgman, Reuben Ogollah, Kathy McKeown and Anna M. Chudyk. Their work appears in journals such as The Foot, Cochrane Database of Systematic Reviews, Physiotherapy, British Journal of Pharmacology and Journal of Pain.

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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