Lynelle Moon

958 total citations
24 papers, 656 citations indexed

About

Lynelle Moon is a scholar working on Health, General Health Professions and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Lynelle Moon has authored 24 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Health, 10 papers in General Health Professions and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Lynelle Moon's work include Health disparities and outcomes (8 papers), Global Health Care Issues (6 papers) and COVID-19 and healthcare impacts (2 papers). Lynelle Moon is often cited by papers focused on Health disparities and outcomes (8 papers), Global Health Care Issues (6 papers) and COVID-19 and healthcare impacts (2 papers). Lynelle Moon collaborates with scholars based in Australia, United Kingdom and United States. Lynelle Moon's co-authors include Melanie Brown, Deborah Schofield, Mark Cooper‐Stanbury, Jenny Hargreaves, Andrew Tonkin, Jeff R. Flack, Maria E. Craig, Louise M. Catanzariti, Steven J. Chadban and Wendy E. Hoy and has published in prestigious journals such as International Journal of Epidemiology, American Heart Journal and American Journal of Kidney Diseases.

In The Last Decade

Lynelle Moon

23 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lynelle Moon Australia 11 205 104 97 95 94 24 656
Likwang Chen Taiwan 19 265 1.3× 159 1.5× 137 1.4× 192 2.0× 82 0.9× 47 1.1k
Jill Miyamura United States 16 177 0.9× 77 0.7× 96 1.0× 144 1.5× 181 1.9× 41 812
Nicole Mealing Australia 12 169 0.8× 64 0.6× 188 1.9× 168 1.8× 70 0.7× 15 953
Mike J.L. Peters Netherlands 15 201 1.0× 107 1.0× 79 0.8× 117 1.2× 82 0.9× 50 714
Andrew Mills United States 3 167 0.8× 57 0.5× 90 0.9× 76 0.8× 89 0.9× 4 659
Olga Jarrín United States 16 458 2.2× 141 1.4× 116 1.2× 100 1.1× 72 0.8× 33 854
Kandace A. Lackore United States 17 213 1.0× 67 0.6× 153 1.6× 74 0.8× 141 1.5× 37 748
Mark Cooper‐Stanbury Australia 5 262 1.3× 88 0.8× 97 1.0× 305 3.2× 53 0.6× 5 731
Kevin H. Nguyen United States 15 344 1.7× 217 2.1× 74 0.8× 82 0.9× 70 0.7× 64 780
Lucas Goossens Netherlands 20 283 1.4× 185 1.8× 80 0.8× 106 1.1× 49 0.5× 54 994

Countries citing papers authored by Lynelle Moon

Since Specialization
Citations

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

Fields of papers citing papers by Lynelle Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lynelle Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Lynelle Moon. A scholar is included among the top collaborators of Lynelle Moon 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 Lynelle Moon. Lynelle Moon 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.
Pires, Sara M., Grant M. A. Wyper, Annelene Wengler, et al.. (2022). Burden of Disease of COVID-19: Strengthening the Collaboration for National Studies. Frontiers in Public Health. 10. 907012–907012. 15 indexed citations
2.
Welsh, Jennifer, Grace Joshy, Kay S, et al.. (2021). Education-related inequalities in cause-specific mortality: first estimates for Australia using individual-level linked census and mortality data. International Journal of Epidemiology. 50(6). 1981–1994. 8 indexed citations
3.
Choi, Ching, Paula Laws, Michelle Gourley, et al.. (2021). Value of a national burden-of-disease study: a comparison of estimates between the Australian Burden of Disease Study 2015 and the Global Burden of Disease Study 2017. International Journal of Epidemiology. 51(2). 668–678. 8 indexed citations
4.
Moon, Lynelle, Anna Reynolds, & Michelle Gourley. (2021). 1442The burden of COVID-19 in Australia in 2020. International Journal of Epidemiology. 50(Supplement_1). 1 indexed citations
5.
Paige, Ellie, et al.. (2020). Demonstrating the Utility of New Linked National Health Survey and Administrative Data: Secondary CVD Prevention in The Community. International Journal for Population Data Science. 5(5).
6.
Moon, Lynelle, et al.. (2019). Measuring Health Loss in Australia: the Australian Burden of Disease Study. Journal of Korean Medical Science. 34(Suppl 1). e61–e61. 7 indexed citations
7.
Korda, Rosemary, Nicholas Biddle, John Lynch, et al.. (2019). Education inequalities in adult all-cause mortality: first national data for Australia using linked census and mortality data. International Journal of Epidemiology. 49(2). 511–518. 20 indexed citations
8.
Happell, Brenda, Jackie Curtis, Michelle Banfield, et al.. (2018). Improving the cardiometabolic health of people with psychosis: A protocol for a randomised controlled trial of the Physical Health Nurse Consultant service. Contemporary Clinical Trials. 73. 75–80. 10 indexed citations
9.
10.
Ayre, Julie, et al.. (2016). Examination of the burden of disease of intimate partner violence against women in 2011: final report. 17 indexed citations
11.
Moon, Lynelle, et al.. (2013). Latest statistics on cardiovascular disease in Australia. Clinical and Experimental Pharmacology and Physiology. 40(6). 347–356. 25 indexed citations
12.
Moon, Lynelle, Tim Mathew, Alan Cass, et al.. (2012). Estimating the Total Incidence of Kidney Failure in Australia Including Individuals Who Are Not Treated by Dialysis or Transplantation. American Journal of Kidney Diseases. 61(3). 413–419. 56 indexed citations
13.
Backholer, Kathryn, Christopher Stevenson, Wilma J. Nusselder, et al.. (2011). Age-specific trends in cardiovascular mortality rates in Australia between 1980 and 2005. Deakin Research Online (Deakin University). 18(1). 33–37. 7 indexed citations
14.
Peeters, Anna, Wilma J. Nusselder, Christopher Stevenson, et al.. (2011). Age-specific trends in cardiovascular mortality rates in the Netherlands between 1980 and 2009. European Journal of Epidemiology. 26(5). 369–373. 21 indexed citations
15.
Catanzariti, Louise M., et al.. (2009). Australia’s national trends in the incidence of Type 1 diabetes in 0–14‐year‐olds, 2000–2006. Diabetic Medicine. 26(6). 596–601. 48 indexed citations
16.
Chen, Lei, Andrew Tonkin, Lynelle Moon, et al.. (2009). Recalibration and validation of the SCORE risk chart in the Australian population: the AusSCORE chart. European Journal of Cardiovascular Prevention & Rehabilitation. 16(5). 562–570. 32 indexed citations
17.
Moon, Lynelle. (2009). Prevention of cardiovascular disease, diabetes and chronic kidney disease. 1 indexed citations
18.
Peeters, Andrea, et al.. (2008). Age-specific trends in cardiovascular mortality rates in Australia, the Netherlands and USA since 1980. Deakin Research Online (Deakin University). 762–762. 1 indexed citations
19.
Moon, Lynelle. (2006). Socioeconomic inequalities in cardiovascular disease in Australia. 6 indexed citations
20.
Kokic, Philip, et al.. (1995). ESTIMATING TEMPORAL FARM INCOME DISTRIBUTIONS USING SPATIAL SMOOTHING TECHNIQUES. Australian Journal of Statistics. 37(2). 129–143. 2 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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