Kate Ennis

512 total citations
10 papers, 149 citations indexed

About

Kate Ennis is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kate Ennis has authored 10 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 2 papers in Epidemiology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kate Ennis's work include Health Systems, Economic Evaluations, Quality of Life (2 papers), Cystic Fibrosis Research Advances (2 papers) and Cancer Genomics and Diagnostics (2 papers). Kate Ennis is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (2 papers), Cystic Fibrosis Research Advances (2 papers) and Cancer Genomics and Diagnostics (2 papers). Kate Ennis collaborates with scholars based in United Kingdom, Luxembourg and United States. Kate Ennis's co-authors include Katy Cooper, Paul Tappenden, Anna Cantrell, Andrea Manca, Juan Carlos Rejón-Parrilla, Alison J. Peel, Rosemary Lovett, Matthew Taylor, James Love-Koh and Hannah Wood and has published in prestigious journals such as British Journal of Cancer, BMJ Open and Health Technology Assessment.

In The Last Decade

Kate Ennis

7 papers receiving 139 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kate Ennis United Kingdom 5 41 29 26 22 21 10 149
Sean P. Gavan United Kingdom 7 66 1.6× 23 0.8× 18 0.7× 12 0.5× 34 1.6× 30 232
Juan Carlos Rejón-Parrilla United Kingdom 8 102 2.5× 13 0.4× 56 2.2× 13 0.6× 8 0.4× 15 197
Andrea Ferris United States 8 52 1.3× 91 3.1× 18 0.7× 25 1.1× 22 1.0× 20 182
J. Brown United Kingdom 6 48 1.2× 114 3.9× 39 1.5× 9 0.4× 12 0.6× 7 279
Peter Dutton United Kingdom 7 26 0.6× 42 1.4× 20 0.8× 16 0.7× 17 0.8× 14 200
Alexa Gillman United Kingdom 4 15 0.4× 15 0.5× 12 0.5× 8 0.4× 12 0.6× 9 90
Sreeram V Ramagopalan United Kingdom 8 56 1.4× 72 2.5× 15 0.6× 42 1.9× 31 1.5× 25 273
Stephanie O. Omokaro United States 4 34 0.8× 31 1.1× 18 0.7× 3 0.1× 15 0.7× 5 260
Scott Ramsey United States 6 27 0.7× 48 1.7× 8 0.3× 7 0.3× 18 0.9× 12 158
Ritesh Ramchandani United States 5 45 1.1× 141 4.9× 11 0.4× 31 1.4× 32 1.5× 10 208

Countries citing papers authored by Kate Ennis

Since Specialization
Citations

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

Fields of papers citing papers by Kate Ennis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Ennis

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Ennis. A scholar is included among the top collaborators of Kate Ennis 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 Ennis. Kate Ennis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
3.
Goodacre, Steve, Laura Sutton, Kate Ennis, et al.. (2024). Prehospital early warning scores for adults with suspected sepsis: the PHEWS observational cohort and decision-analytic modelling study. Health Technology Assessment. 28(16). 1–93. 1 indexed citations
4.
Tappenden, Paul, Mónica Hernández Alava, Laura Sutton, et al.. (2023). A model-based economic analysis of the CFHealthHub intervention to support adherence to inhaled medications for people with cystic fibrosis in the UK. International Journal of Technology Assessment in Health Care. 39(1). e6–e6. 1 indexed citations
5.
Murphy, Peter J., Sofia Dias, Robert Hodgson, et al.. (2021). Modelling approaches for histology-independent cancer drugs to inform NICE appraisals: a systematic review and decision-framework. Health Technology Assessment. 25(76). 1–228. 13 indexed citations
6.
Cooper, Katy, Paul Tappenden, Anna Cantrell, & Kate Ennis. (2020). A systematic review of meta-analyses assessing the validity of tumour response endpoints as surrogates for progression-free or overall survival in cancer. British Journal of Cancer. 123(11). 1686–1696. 32 indexed citations
7.
Love-Koh, James, Alison J. Peel, Juan Carlos Rejón-Parrilla, et al.. (2018). The Future of Precision Medicine: Potential Impacts for Health Technology Assessment. PharmacoEconomics. 36(12). 1439–1451. 75 indexed citations
8.
Bonnett, Laura, Anna María Geretti, Benedict Michael, et al.. (2018). Viral meningitis in UK adults - a multicentre prospective observational cohort study of incidence, aetiology and sequelae. 1 indexed citations
9.
Ennis, Kate, et al.. (2014). Sugar-sweetened beverages: availability and purchasing behaviour within the school fringe. International Journal of Health Promotion and Education. 52(5). 300–312. 4 indexed citations
10.
Ennis, Kate, et al.. (2011). How Physical Therapists Can Strategically Effect Health Outcomes for Older Adults With Limited Health Literacy. Journal of Geriatric Physical Therapy. 35(3). 148–154. 22 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.

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