Graeme Tucker

5.7k total citations
113 papers, 4.2k citations indexed

About

Graeme Tucker is a scholar working on Physiology, General Health Professions and Economics and Econometrics. According to data from OpenAlex, Graeme Tucker has authored 113 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Physiology, 20 papers in General Health Professions and 18 papers in Economics and Econometrics. Recurrent topics in Graeme Tucker's work include Climate Change and Health Impacts (15 papers), Health disparities and outcomes (14 papers) and Health Systems, Economic Evaluations, Quality of Life (12 papers). Graeme Tucker is often cited by papers focused on Climate Change and Health Impacts (15 papers), Health disparities and outcomes (14 papers) and Health Systems, Economic Evaluations, Quality of Life (12 papers). Graeme Tucker collaborates with scholars based in Australia, United Kingdom and Canada. Graeme Tucker's co-authors include Monika Nitschke, Peng Bi, Alana Hansen, Dino Pisaniello, Philip Ryan, David Wilson, Robert Adams, Susan Williams, Ying Zhang and Robert J. Adams and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Graeme Tucker

113 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Graeme Tucker Australia 39 1.4k 973 820 448 431 113 4.2k
Shao Lin United States 48 4.4k 3.1× 843 0.9× 684 0.8× 463 1.0× 260 0.6× 242 7.0k
Ying Wang China 36 1.1k 0.7× 653 0.7× 389 0.5× 257 0.6× 600 1.4× 216 4.6k
Paul English United States 31 2.1k 1.4× 534 0.5× 522 0.6× 296 0.7× 360 0.8× 84 4.1k
Thomas Matte United States 43 3.8k 2.6× 646 0.7× 566 0.7× 453 1.0× 306 0.7× 115 6.9k
Per Nafstad Norway 49 2.7k 1.9× 2.0k 2.1× 393 0.5× 616 1.4× 257 0.6× 163 7.7k
Isabelle Romieu France 31 944 0.7× 898 0.9× 577 0.7× 145 0.3× 305 0.7× 87 4.2k
Jennifer D. Parker United States 39 1.9k 1.3× 246 0.3× 832 1.0× 915 2.0× 434 1.0× 112 5.0k
Gregory A. Wellenius United States 57 7.3k 5.1× 832 0.9× 1.1k 1.3× 562 1.3× 510 1.2× 257 9.7k
Takashi Yorifuji Japan 37 2.4k 1.7× 297 0.3× 312 0.4× 520 1.2× 144 0.3× 264 4.6k
Hiroyuki Doi Japan 38 931 0.7× 295 0.3× 438 0.5× 337 0.8× 354 0.8× 148 3.6k

Countries citing papers authored by Graeme Tucker

Since Specialization
Citations

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

Fields of papers citing papers by Graeme Tucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graeme Tucker

This figure shows the co-authorship network connecting the top 25 collaborators of Graeme Tucker. A scholar is included among the top collaborators of Graeme Tucker 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 Graeme Tucker. Graeme Tucker 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.
Thompson, Mark Q, et al.. (2024). Frailty in general medicine patients receiving geriatric medicine liaison services is predictive of adverse outcomes. Australasian Journal on Ageing. 44(1). e13374–e13374. 1 indexed citations
2.
Ambagtsheer, Rachel C., Mark Q Thompson, Graeme Tucker, et al.. (2023). Does CGA Improve Health Outcomes in the Community? An Umbrella Review. Journal of the American Medical Directors Association. 24(6). 782–789.e15. 6 indexed citations
3.
Thompson, Mark Q, Solomon Yu, Graeme Tucker, et al.. (2020). Frailty and sarcopenia in combination are more predictive of mortality than either condition alone. Maturitas. 144. 102–107. 29 indexed citations
4.
Thompson, Mark Q, Olga Theou, Graeme Tucker, Robert Adams, & Renuka Visvanathan. (2019). Recurrent Measurement of Frailty Is Important for Mortality Prediction: Findings from the North West Adelaide Health Study. Journal of the American Geriatrics Society. 67(11). 2311–2317. 39 indexed citations
5.
6.
Zhang, Ying, Monika Nitschke, Keith Dear, et al.. (2016). Risk factors for deaths during the 2009 heat wave in Adelaide, Australia: a matched case-control study. International Journal of Biometeorology. 61(1). 35–47. 31 indexed citations
7.
Tavella, Rosanna, et al.. (2016). Natural history of patients with insignificant coronary artery disease. European Heart Journal - Quality of Care and Clinical Outcomes. 2(2). 117–124. 52 indexed citations
8.
Zhang, Ying, Monika Nitschke, Keith Dear, et al.. (2016). Risk factors of direct heat-related hospital admissions during the 2009 heatwave in Adelaide, Australia: a matched case–control study. BMJ Open. 6(6). e010666–e010666. 18 indexed citations
9.
Nitschke, Monika, Sarah Appleton, Graeme Tucker, et al.. (2016). Lung function reductions associated with motor vehicle density in chronic obstructive pulmonary disease: a cross-sectional study. Respiratory Research. 17(1). 138–138. 7 indexed citations
10.
Verburg, Petra E., Graeme Tucker, Wendy Scheil, et al.. (2016). Sexual Dimorphism in Adverse Pregnancy Outcomes - A Retrospective Australian Population Study 1981-2011. PLoS ONE. 11(7). e0158807–e0158807. 69 indexed citations
11.
Kennare, Robyn M, Wendy Scheil, & Graeme Tucker. (2015). A public health approach to review of sudden unexpected infant deaths - challenges and interventions. 12(1). 9. 3 indexed citations
12.
Tucker, Graeme, Robert Adams, & David H. Wilson. (2014). Results from several population studies show that recommended scoring methods of the SF-36 and the SF-12 may lead to incorrect conclusions and subsequent health decisions. Quality of Life Research. 23(8). 2195–2203. 17 indexed citations
13.
Tavella, Rosanna, Tracy Air, Graeme Tucker, et al.. (2010). Using the Short Form-36 mental summary score as an indicator of depressive symptoms in patients with coronary heart disease. Quality of Life Research. 19(8). 1105–1113. 13 indexed citations
14.
Heard, Adrian R, et al.. (2008). Avoidable risk factors in perinatal deaths: A perinatal audit in South Australia. Australian and New Zealand Journal of Obstetrics and Gynaecology. 48(1). 50–57. 24 indexed citations
15.
Adams, Robert, Graeme Tucker, Graeme Hugo, Catherine Hill, & David H. Wilson. (2008). Projected future trends of hospital service use for selected obesity-related conditions. Obesity Research & Clinical Practice. 2(2). 133–141. 14 indexed citations
16.
Roberts‐Thomson, Ian C., et al.. (2008). Single-center study comparing computed tomography colonography with conventional colonoscopy. World Journal of Gastroenterology. 14(3). 469–469. 15 indexed citations
17.
Eckert, Kerena, et al.. (2006). Does using potting mix make you sick? Results from a Legionella longbeachae case-control study in South Australia. Epidemiology and Infection. 135(1). 34–39. 58 indexed citations
18.
Wilson, David, Graeme Tucker, & Catherine Chittleborough. (2002). Rethinking and rescoring the SF-12. Sozial- und Präventivmedizin. 47(3). 172–177. 39 indexed citations
19.
Tucker, Graeme. (1998). Alcohol and Memory. Journal watch. 1998. 1 indexed citations
20.
Tucker, Graeme. (1995). Age-Associated Memory Loss: Prevalence and Implications. Journal watch. 1995. 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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