Kim Burton

126 papers and 7.0k indexed citations i.

About

Kim Burton is a scholar working on Pharmacology, Pathology and Forensic Medicine and General Health Professions. According to data from OpenAlex, Kim Burton has authored 126 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Pharmacology, 36 papers in Pathology and Forensic Medicine and 29 papers in General Health Professions. Recurrent topics in Kim Burton’s work include Musculoskeletal pain and rehabilitation (92 papers), Spine and Intervertebral Disc Pathology (36 papers) and Workplace Health and Well-being (21 papers). Kim Burton is often cited by papers focused on Musculoskeletal pain and rehabilitation (92 papers), Spine and Intervertebral Disc Pathology (36 papers) and Workplace Health and Well-being (21 papers). Kim Burton collaborates with scholars based in United Kingdom, Norway and France. Kim Burton's co-authors include K. Malcolm Tillotson, Tamar Pincus, Andy P. Field, Steven Vogel, Gordon Waddell, Chris J. Main, Sally Hollis, Bart W. Koes, Tara Symonds and Malcolm Tillotson and has published in prestigious journals such as PLoS ONE, Journal of Applied Physiology and Cochrane library.

In The Last Decade

Co-authorship network of co-authors of Kim Burton i

Fields of papers citing papers by Kim Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kim Burton

Since Specialization
Citations

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

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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