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.
Deriving a Preference-Based Single Index from the UK SF-36 Health Survey
1998562 citationsJohn Brazier, Tim Usherwood et al.Journal of Clinical Epidemiologyprofile →
Use and expenditure on complementary medicine in England: a population based survey
2001542 citationsKate Thomas, Jon Nicholl et al.profile →
Prevalence of complementary and alternative medicine (CAM) use by the general population: a systematic review and update
2012456 citationsPhilip E. Harris, Katy Cooper et al.International Journal of Clinical Practiceprofile →
What can qualitative research do for randomised controlled trials? A systematic mapping review
2013292 citationsAlicia O’Cathain, Kate Thomas et al.BMJ Openprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Kate Thomas'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 Kate Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Thomas more than expected).
This network shows the impact of papers produced by Kate Thomas. 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 Kate Thomas. The network helps show where Kate Thomas may publish in the future.
Co-authorship network of co-authors of Kate Thomas
This figure shows the co-authorship network connecting the top 25 collaborators of Kate Thomas.
A scholar is included among the top collaborators of Kate Thomas 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 Kate Thomas. Kate Thomas is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Thomas, Kate, et al.. (2019). Rapid Synthesis of Surface Rupture Mapping and Observation Data During Response to the 2019 Ridgecrest Earthquake Sequence, CA. AGU Fall Meeting Abstracts. 2019.1 indexed citations
Prichard, Jeremy, Wendy Hall, Ettore Zuccato, et al.. (2016). SCORE Ethical research guidelines for sewage epidemiology. eCite Digital Repository (University of Tasmania).2 indexed citations
O’Cathain, Alicia, Kate Thomas, Sarah J Drabble, Anne Rudolph, & Jenny Hewison. (2013). What can qualitative research do for randomised controlled trials? A systematic mapping review. BMJ Open. 3(6). e002889–e002889.292 indexed citations breakdown →
8.
Harris, Philip E., Katy Cooper, Clare Relton, & Kate Thomas. (2012). Prevalence of complementary and alternative medicine (CAM) use by the general population: a systematic review and update. International Journal of Clinical Practice. 66(10). 924–939.456 indexed citations breakdown →
Brazier, John, Tim Usherwood, Rosemary Harper, & Kate Thomas. (1998). Deriving a Preference-Based Single Index from the UK SF-36 Health Survey. Journal of Clinical Epidemiology. 51(11). 1115–1128.562 indexed citations breakdown →
17.
Thomas, Kate, Jon Nicholl, & P Coleman. (1995). Assessing the outcome of making it easier for patients to change general practitioner: practice characteristics associated with patient movements.. PubMed. 45(400). 581–6.19 indexed citations
18.
Thomas, Kate, et al.. (1993). Case against targeting long term non-attenders in general practice for a health check.. PubMed. 43(372). 285–9.8 indexed citations
19.
Thomas, Kate, et al.. (1989). Estimates of general practitioner workload: a review.. PubMed. 39(329). 509–13.11 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.