Daniel Farewell

3.7k total citations
102 papers, 2.4k citations indexed

About

Daniel Farewell is a scholar working on General Health Professions, Epidemiology and Statistics and Probability. According to data from OpenAlex, Daniel Farewell has authored 102 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in General Health Professions, 23 papers in Epidemiology and 21 papers in Statistics and Probability. Recurrent topics in Daniel Farewell's work include Health disparities and outcomes (15 papers), Statistical Methods and Bayesian Inference (14 papers) and Statistical Methods and Inference (11 papers). Daniel Farewell is often cited by papers focused on Health disparities and outcomes (15 papers), Statistical Methods and Bayesian Inference (14 papers) and Statistical Methods and Inference (11 papers). Daniel Farewell collaborates with scholars based in United Kingdom, Australia and Netherlands. Daniel Farewell's co-authors include Sabine Maguire, Alison Kemp, David Fone, Frank Dunstan, Shantini Paranjothy, James White, Laura Cowley, Nick Francis, Ronan A Lyons and Christopher Butler and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daniel Farewell

98 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Farewell United Kingdom 28 516 490 421 406 335 102 2.4k
Rickard Ljung Sweden 35 443 0.9× 457 0.9× 859 2.0× 654 1.6× 354 1.1× 141 5.6k
Rhonda J. Rosychuk Canada 28 467 0.9× 491 1.0× 412 1.0× 450 1.1× 116 0.3× 165 2.6k
Michele P Hamm Canada 21 268 0.5× 484 1.0× 127 0.3× 292 0.7× 367 1.1× 32 2.3k
Michael Hobbs Australia 32 329 0.6× 670 1.4× 874 2.1× 313 0.8× 289 0.9× 92 4.5k
Isabelle Gaboury Canada 36 753 1.5× 584 1.2× 641 1.5× 263 0.6× 74 0.2× 113 3.9k
Stanley Xu United States 28 185 0.4× 622 1.3× 722 1.7× 163 0.4× 487 1.5× 105 3.1k
Randy Walld Canada 33 240 0.5× 822 1.7× 938 2.2× 438 1.1× 322 1.0× 83 3.8k
Layla Parast United States 24 187 0.4× 557 1.1× 446 1.1× 296 0.7× 70 0.2× 107 2.1k
Wansu Chen United States 38 613 1.2× 308 0.6× 678 1.6× 177 0.4× 125 0.4× 140 5.4k
Helle Wallach‐Kildemoes Denmark 14 351 0.7× 389 0.8× 645 1.5× 288 0.7× 113 0.3× 34 3.8k

Countries citing papers authored by Daniel Farewell

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Farewell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Farewell

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

All Works

20 of 20 papers shown
1.
Thomas, Kathrin, et al.. (2024). Exploring the equity of distribution of general medical services funding allocations in Wales: a time-series analysis. BJGP Open. 9(1). BJGPO.2024.0080–BJGPO.2024.0080.
2.
Chatfield, Mark D., Tim Cole, Henrica C. W. de Vet, Louise Marquart, & Daniel Farewell. (2023). blandaltman: A command to create variants of Bland–Altman plots. The Stata Journal Promoting communications on statistics and Stata. 23(3). 851–874. 9 indexed citations
3.
Gadalla, Amal, Daniel Farewell, Kathryn Hughes, et al.. (2022). Antibiotic consumption and time to recovery from uncomplicated urinary tract infection: secondary analysis of observational data from a point-of-care test trial. British Journal of General Practice. 72(725). e882–e890. 1 indexed citations
4.
Evans, Annette, Katie Hardcastle, Daniel Farewell, et al.. (2020). Adverse childhood experiences during childhood and academic attainment at age 7 and 11 years: an electronic birth cohort study. Public Health. 189. 37–47. 16 indexed citations
5.
Evans, Annette, Daniel Farewell, Joanne Demmler, et al.. (2020). Association of asthma severity and educational attainment at age 6–7 years in a birth cohort: population-based record-linkage study. Thorax. 76(2). 116–125. 9 indexed citations
6.
Greene, Giles, Andrea Gärtner, Daniel Farewell, et al.. (2020). Mental health selection: common mental disorder and migration between multiple states of deprivation in a UK cohort. BMJ Open. 10(2). e033238–e033238. 8 indexed citations
7.
Ponsford, Mark, Daniel Farewell, Ian R. Humphreys, et al.. (2020). Acknowledging the Burden of Nosocomial COVID-19: Results from a Multi-Centre Retrospective Observational Study of 2518 Adults Hospitalised Across the Nation of Wales. SSRN Electronic Journal. 1 indexed citations
8.
9.
Trefán, László, Ashley Akbari, Shantini Paranjothy, et al.. (2019). Electronic Longitudinal Alcohol Study in Communities (ELAStiC) Wales – protocol for platform development. International Journal for Population Data Science. 4(1). 581–581. 8 indexed citations
10.
11.
Hanna, Stephanie, Joanne Davies, Gareth Dunseath, et al.. (2018). Loss of CXCR3 expression on memory B cells in individuals with long-standing type 1 diabetes. Diabetologia. 61(8). 1794–1803. 14 indexed citations
12.
Gillespie, David, Daniel Farewell, Lucy Brookes‐Howell, et al.. (2017). Determinants of initiation, implementation, and discontinuation of amoxicillin by adults with acute cough in primary care. Patient Preference and Adherence. Volume 11. 561–569. 6 indexed citations
13.
Huang, Chao, Daniel Farewell, & Jianxin Pan. (2017). A calibration method for non-positive definite covariance matrix in multivariate data analysis. Journal of Multivariate Analysis. 157. 45–52. 8 indexed citations
14.
Fone, David, Richard Fry, Sarah Rodgers, et al.. (2016). Change in alcohol outlet density and alcohol-related harm to population health (CHALICE): a comprehensive record-linked database study in Wales. SHILAP Revista de lepidopterología. 4(3). 1–184. 37 indexed citations
15.
16.
Fone, David, Giles Greene, Daniel Farewell, et al.. (2013). Common mental disorders, neighbourhood income inequality and income deprivation: small-area multilevel analysis. The British Journal of Psychiatry. 202(4). 286–293. 46 indexed citations
17.
Fone, David, Daniel Farewell, James White, Ronan A Lyons, & Frank Dunstan. (2013). Socioeconomic patterning of excess alcohol consumption and binge drinking: a cross-sectional study of multilevel associations with neighbourhood deprivation. BMJ Open. 3(4). e002337–e002337. 101 indexed citations
18.
19.
Maguire, Sabine, et al.. (2009). Which clinical features distinguish inflicted from non-inflicted brain injury? A systematic review. Archives of Disease in Childhood. 94(11). 860–867. 116 indexed citations
20.
Diggle, Peter J., Daniel Farewell, & Robin Henderson. (2007). Longitudinal data with dropout : objectives, assumptions and a proposal (with Discussion). Lancaster EPrints (Lancaster University). 22(17). 933–42. 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.

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