David Banham

668 total citations
26 papers, 488 citations indexed

About

David Banham is a scholar working on General Health Professions, Oncology and Economics and Econometrics. According to data from OpenAlex, David Banham has authored 26 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in General Health Professions, 10 papers in Oncology and 9 papers in Economics and Econometrics. Recurrent topics in David Banham's work include Global Cancer Incidence and Screening (10 papers), Colorectal Cancer Screening and Detection (7 papers) and Primary Care and Health Outcomes (6 papers). David Banham is often cited by papers focused on Global Cancer Incidence and Screening (10 papers), Colorectal Cancer Screening and Detection (7 papers) and Primary Care and Health Outcomes (6 papers). David Banham collaborates with scholars based in Australia, United States and France. David Banham's co-authors include Melanie Wakefield, James Martin, Kieran McCaul, N R Badcock, Richard E. Ruffin, Jonathan Karnon, Alex Brown, John Lynch, David Roder and Julie Marker and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Preventive Medicine and American Heart Journal.

In The Last Decade

David Banham

24 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Banham Australia 13 168 159 87 84 69 26 488
Colm Taylor Ireland 4 374 2.2× 235 1.5× 132 1.5× 246 2.9× 57 0.8× 4 766
Erica Phillips United States 14 124 0.7× 180 1.1× 17 0.2× 147 1.8× 89 1.3× 39 592
Eleftherios Thireos Greece 11 75 0.4× 223 1.4× 37 0.4× 156 1.9× 14 0.2× 19 500
Brian Cummings United States 15 74 0.4× 101 0.6× 14 0.2× 157 1.9× 21 0.3× 73 652
Philip H. Wheeler United States 8 50 0.3× 113 0.7× 27 0.3× 83 1.0× 22 0.3× 17 393
Willine Carr United States 6 215 1.3× 248 1.6× 91 1.0× 35 0.4× 22 0.3× 8 572
Robert T. Swank United States 10 114 0.7× 172 1.1× 66 0.8× 50 0.6× 20 0.3× 13 529
Lyndsay Miles United States 9 248 1.5× 163 1.0× 41 0.5× 113 1.3× 41 0.6× 11 394
Gianluigi Ferrante Italy 15 115 0.7× 111 0.7× 15 0.2× 113 1.3× 58 0.8× 45 575
Jacob Mohrs Netherlands 11 112 0.7× 170 1.1× 18 0.2× 75 0.9× 8 0.1× 18 479

Countries citing papers authored by David Banham

Since Specialization
Citations

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

Fields of papers citing papers by David Banham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Banham

This figure shows the co-authorship network connecting the top 25 collaborators of David Banham. A scholar is included among the top collaborators of David Banham 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 David Banham. David Banham 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.
Roder, David, David Banham, Jacob George, Shelley Rushton, & Tracey O’Brien. (2023). Demographic, health, and prognostic characteristics of Australians with liver cancer: a cohort study of linked data in New South Wales for informing cancer control. BMC Public Health. 23(1). 1957–1957. 2 indexed citations
2.
Banham, David, David Roder, Sandra Thompson, et al.. (2023). The effect of general practice contact on cancer stage at diagnosis in Aboriginal and non-Aboriginal residents of New South Wales. Cancer Causes & Control. 34(10). 909–926.
3.
Banham, David, David Roder, Marion Eckert, et al.. (2019). Cancer treatment and the risk of cancer death among Aboriginal and non-Aboriginal South Australians: analysis of a matched cohort study. BMC Health Services Research. 19(1). 771–771. 12 indexed citations
4.
5.
Banham, David, Jonathan Karnon, & John Lynch. (2019). Health related quality of life (HRQoL) among Aboriginal South Australians: a perspective using survey-based health utility estimates. Health and Quality of Life Outcomes. 17(1). 39–39. 7 indexed citations
6.
7.
Buckley, Elizabeth, et al.. (2018). Developing a comorbidity index for comparing cancer outcomes in Aboriginal and non-Aboriginal Australians. BMC Health Services Research. 18(1). 776–776. 9 indexed citations
8.
Reilly, Rachel, Paul Yerrell, David Banham, et al.. (2018). Aboriginal experiences of cancer and care coordination: Lessons from the Cancer Data and Aboriginal Disparities (CanDAD) narratives. Health Expectations. 21(5). 927–936. 29 indexed citations
9.
10.
Banham, David, David Roder, Dorothy Keefe, et al.. (2017). Disparities in cancer stage at diagnosis and survival of Aboriginal and non-Aboriginal South Australians. Cancer Epidemiology. 48. 131–139. 21 indexed citations
11.
Banham, David, David Roder, & Alex Brown. (2017). Comorbidities contribute to the risk of cancer death among Aboriginal and non-Aboriginal South Australians: Analysis of a matched cohort study. Cancer Epidemiology. 52. 75–82. 8 indexed citations
12.
Yerrell, Paul, David Roder, Margaret Cargo, et al.. (2016). Cancer Data and Aboriginal Disparities (CanDAD)—developing an Advanced Cancer Data System for Aboriginal people in South Australia: a mixed methods research protocol. BMJ Open. 6(12). e012505–e012505. 15 indexed citations
13.
Afzali, Hossein Haji Ali, et al.. (2014). Practice nurse involvement in general practice clinical care: policy and funding issues need resolution. Australian Health Review. 38(3). 301–305. 15 indexed citations
14.
Gray, Jodi, et al.. (2014). Practice nurse involvement in primary care depression management: an observational cost-effectiveness analysis. BMC Family Practice. 15(1). 10–10. 5 indexed citations
15.
Karnon, Jonathan, et al.. (2013). A risk adjusted cost‐effectiveness analysis of alternative models of nurse involvement in obesity management in primary care. Obesity. 21(3). 472–479. 12 indexed citations
16.
Banham, David, et al.. (2011). Aboriginal premature mortality within South Australia 1999-2006: a cross-sectional analysis of small area results. BMC Public Health. 11(1). 286–286. 10 indexed citations
17.
18.
Wakefield, Melanie, David Banham, Kieran McCaul, et al.. (2002). Effect of Feedback Regarding Urinary Cotinine and Brief Tailored Advice on Home Smoking Restrictions among Low-Income Parents of Children with Asthma: A Controlled Trial. Preventive Medicine. 34(1). 58–65. 68 indexed citations
19.
Roberts, L., Melanie Wakefield, Caroline Miller, & David Banham. (2000). Parents perceptions of the pros and cons of banning smoking at home. Health Promotion Journal of Australia. 10(3). 252. 4 indexed citations
20.
Wakefield, Melanie, David Banham, James Martin, et al.. (2000). Restrictions on smoking at home and urinary cotinine levels among children with asthma. American Journal of Preventive Medicine. 19(3). 188–192. 109 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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