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.
A Fear-Avoidance Beliefs Questionnaire (FABQ) and the role of fear-avoidance beliefs in chronic low back pain and disability
19932.4k citationsGordon Waddell, Chris J. Main et al.Painprofile →
Comparison of stratified primary care management for low back pain with current best practice (STarT Back): a randomised controlled trial
2011967 citationsKate M. Dunn, Chris J. Main et al.profile →
A primary care back pain screening tool: Identifying patient subgroups for initial treatment
2008788 citationsKate M. Dunn, Chris J. Main et al.profile →
Psychosocial Predictors of Outcome in Acute and Subchronic Low Back Trouble
1995566 citationsKim Burton, Chris J. Main et al.Spineprofile →
Behavioural treatment for chronic low-back pain
2010430 citationsNicholas Henschke, Raymond Ostelo et al.Cochrane Database of Systematic Reviewsprofile →
Early Identification and Management of Psychological Risk Factors (“Yellow Flags”) in Patients With Low Back Pain: A Reappraisal
2011427 citationsMichael K. Nicholas, Steven J. Linton et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Chris J. Main'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 Chris J. Main with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris J. Main more than expected).
This network shows the impact of papers produced by Chris J. Main. 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 Chris J. Main. The network helps show where Chris J. Main may publish in the future.
Co-authorship network of co-authors of Chris J. Main
This figure shows the co-authorship network connecting the top 25 collaborators of Chris J. Main.
A scholar is included among the top collaborators of Chris J. Main 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 Chris J. Main. Chris J. Main is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Henschke, Nicholas, Raymond Ostelo, Maurits W. van Tulder, et al.. (2010). Behavioural treatment for chronic low-back pain. Cochrane Database of Systematic Reviews. 2011(2). CD002014–CD002014.430 indexed citations breakdown →
9.
Kendall, Nicholas, Kim Burton, Chris J. Main, & Paul Watson. (2009). Tackling musculoskeletal problems: a guide for clinic and workplace - identifying obstacles using the psychosocial flags framework. University of Huddersfield Repository (University of Huddersfield).49 indexed citations
Burton, Kim, et al.. (2005). Obstacles to Recovery from Musculoskeletal Disorders in Industry. University of Huddersfield Repository (University of Huddersfield).8 indexed citations
Main, Chris J. & Kim Burton. (1995). The patient with low back pain: who or what are we assessing? An experimental investigation of a clinical puzzle. University of Huddersfield Repository (University of Huddersfield).3 indexed citations
Main, Chris J. & William R. Lindsay. (1982). Clinical psychology and medicine : a behavioral perspective. Plenum Press eBooks.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.