Ron Sinclair

1.4k total citations
38 papers, 769 citations indexed

About

Ron Sinclair is a scholar working on Ecology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Ron Sinclair has authored 38 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 11 papers in Infectious Diseases and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Ron Sinclair's work include Animal Ecology and Behavior Studies (11 papers), Wildlife Ecology and Conservation (11 papers) and Viral Infections and Vectors (10 papers). Ron Sinclair is often cited by papers focused on Animal Ecology and Behavior Studies (11 papers), Wildlife Ecology and Conservation (11 papers) and Viral Infections and Vectors (10 papers). Ron Sinclair collaborates with scholars based in Australia, United States and Germany. Ron Sinclair's co-authors include David Peacock, Brian Cooke, Andrew P. Woolnough, William B. Sherwin, Lee A. Rollins, John Kovaliski, Mary Bomford, Greg Mutze, Alan N. Wilton and Sassan Asgari and has published in prestigious journals such as Molecular Ecology, Molecular Biology and Evolution and Journal of Applied Ecology.

In The Last Decade

Ron Sinclair

34 papers receiving 718 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ron Sinclair Australia 17 334 273 226 221 122 38 769
David Peacock Australia 18 540 1.6× 360 1.3× 269 1.2× 307 1.4× 123 1.0× 60 1.0k
R. Trout United Kingdom 17 380 1.1× 291 1.1× 123 0.5× 343 1.6× 88 0.7× 40 772
John Kovaliski Australia 20 242 0.7× 601 2.2× 179 0.8× 507 2.3× 111 0.9× 31 918
Ubiratan Piovezan Brazil 15 200 0.6× 149 0.5× 163 0.7× 125 0.6× 76 0.6× 45 594
Diego Villanúa Spain 15 298 0.9× 224 0.8× 90 0.4× 142 0.6× 187 1.5× 41 789
Carlos Rouco Spain 17 437 1.3× 203 0.7× 76 0.3× 256 1.2× 75 0.6× 77 728
Stéphane Marchandeau France 19 487 1.5× 761 2.8× 257 1.1× 642 2.9× 125 1.0× 43 1.4k
J Boomker South Africa 21 858 2.6× 299 1.1× 96 0.4× 156 0.7× 281 2.3× 113 1.5k
Walburga Lutz Germany 15 225 0.7× 144 0.5× 207 0.9× 79 0.4× 137 1.1× 58 725
Tyler A. Campbell United States 18 575 1.7× 174 0.6× 97 0.4× 68 0.3× 144 1.2× 72 1.1k

Countries citing papers authored by Ron Sinclair

Since Specialization
Citations

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

Fields of papers citing papers by Ron Sinclair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ron Sinclair

This figure shows the co-authorship network connecting the top 25 collaborators of Ron Sinclair. A scholar is included among the top collaborators of Ron Sinclair 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 Ron Sinclair. Ron Sinclair 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
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2.
Comans, Tracy, Kirsten Auret, Ron Sinclair, et al.. (2024). Factors Associated with Advance Care Planning Engagement Among Community‐Dwelling Older Adults: A Cross‐Sectional Study. Journal of Clinical Nursing.
3.
4.
Meyer, Claudia, Xanthe Golenko, Ron Sinclair, & Judy Lowthian. (2024). Transition for people with dementia from day respite services to permanent residential care: a realist synthesis. BMC Health Services Research. 24(1). 1520–1520. 1 indexed citations
5.
Sinclair, Craig, Kirsten Auret, Josephine M. Clayton, et al.. (2024). Validating care and treatment scenarios for measuring decisional conflict regarding future care preferences among older adults. Health Expectations. 27(2). e14010–e14010. 4 indexed citations
6.
Xiao, Lily Dongxia, Ying Yu, Julie Ratcliffe, et al.. (2022). Creating ‘Partnership in iSupport program’ to optimise family carers’ impact on dementia care: a randomised controlled trial protocol. BMC Health Services Research. 22(1). 762–762. 3 indexed citations
7.
Reeve, Emily, Lynn Chenoweth, Mouna Sawan, et al.. (2022). Consumer and Healthcare Professional Led Priority Setting for Quality Use of Medicines in People with Dementia: Gathering Unanswered Research Questions. Journal of Alzheimer s Disease. 91(3). 933–960. 5 indexed citations
8.
Barnett, Louise K., Thomas A. A. Prowse, David Peacock, et al.. (2018). Previous exposure to myxoma virus reduces survival of European rabbits during outbreaks of rabbit haemorrhagic disease. Journal of Applied Ecology. 55(6). 2954–2962. 19 indexed citations
9.
Mutze, Greg, et al.. (2018). Substantial numerical decline in South Australian rabbit populations following the detection of rabbit haemorrhagic disease virus 2. Veterinary Record. 182(20). 574–574. 14 indexed citations
10.
Rollins, Lee A., Andrew P. Woolnough, Benjamin G. Fanson, et al.. (2016). Selection on Mitochondrial Variants Occurs between and within Individuals in an Expanding Invasion. Molecular Biology and Evolution. 33(4). 995–1007. 36 indexed citations
11.
Elsworth, Peter, Brian Cooke, John Kovaliski, et al.. (2014). Increased virulence of rabbit haemorrhagic disease virus associated with genetic resistance in wild Australian rabbits (Oryctolagus cuniculus). Virology. 464-465. 415–423. 47 indexed citations
12.
Mutze, Greg, Ron Sinclair, David Peacock, Lorenzo Capucci, & John Kovaliski. (2014). Is increased juvenile infection the key to recovery of wild rabbit populations from the impact of rabbit haemorrhagic disease?. European Journal of Wildlife Research. 60(3). 489–499. 19 indexed citations
13.
Schwensow, Nina, Brian Cooke, John Kovaliski, et al.. (2014). Rabbit haemorrhagic disease: virus persistence and adaptation in Australia. Evolutionary Applications. 7(9). 1056–1067. 34 indexed citations
14.
Fordham, Damien A., Ron Sinclair, David Peacock, et al.. (2012). European rabbit survival and recruitment are linked to epidemiological and environmental conditions in their exotic range. Austral Ecology. 37(8). 945–957. 16 indexed citations
15.
Peacock, David, Greg Mutze, Ron Sinclair, John Kovaliski, & Brian Cooke. (2012). Rabbit Haemorrhagic Disease: Applying Occam’s Razor to competing hypotheses. Molecular Ecology. 21(5). 1038–1041. 3 indexed citations
16.
Rollins, Lee A., Andrew P. Woolnough, Ron Sinclair, Nick Mooney, & William B. Sherwin. (2011). Mitochondrial DNA offers unique insights into invasion history of the common starling. Molecular Ecology. 20(11). 2307–2317. 56 indexed citations
17.
Rollins, Lee A., Andrew P. Woolnough, Alan N. Wilton, Ron Sinclair, & William B. Sherwin. (2009). Invasive species can't cover their tracks: using microsatellites to assist management of starling (Sturnus vulgaris) populations in Western Australia. Molecular Ecology. 18(8). 1560–1573. 111 indexed citations
18.
Sinclair, Ron. (2003). ATEX Good and Bad/A Notified Body's Perspective. Measurement and Control. 36(5). 140–141. 1 indexed citations
19.
Sinclair, Ron. (1998). Integrated management is better than a "single shot" at birds. 2(6). 47–50. 1 indexed citations
20.

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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