S. Lance Macaulay

5.8k total citations · 1 hit paper
40 papers, 3.8k citations indexed

About

S. Lance Macaulay is a scholar working on Physiology, Psychiatry and Mental health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, S. Lance Macaulay has authored 40 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 20 papers in Psychiatry and Mental health and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in S. Lance Macaulay's work include Dementia and Cognitive Impairment Research (20 papers), Alzheimer's disease research and treatments (17 papers) and Nutritional Studies and Diet (6 papers). S. Lance Macaulay is often cited by papers focused on Dementia and Cognitive Impairment Research (20 papers), Alzheimer's disease research and treatments (17 papers) and Nutritional Studies and Diet (6 papers). S. Lance Macaulay collaborates with scholars based in Australia, United States and Czechia. S. Lance Macaulay's co-authors include Colin L. Masters, Ralph N. Martins, Victor L. Villemagne, Kathryn A. Ellis, Christopher C. Rowe, David Ames, Cassandra Szoeke, Olivier Salvado, Pierrick Bourgeat and Belinda M. Brown and has published in prestigious journals such as PLoS ONE, Neurology and Stroke.

In The Last Decade

S. Lance Macaulay

39 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study

2013 1.6k citations Victor L. Villemagne, Samantha C. Burnham et al. profile →

Peers

S. Lance Macaulay

PHYSI

PMH

NEURO

Heather M. Snyder United States

Claire Paquet France

Samantha C. Burnham Australia

Rafael Blesa Spain

Madhav Thambisetty United States

Jon B. Toledo United States

Michael S. Rafii United States

Yen Ying Lim Australia

Janine Diehl‐Schmid Germany

Ronald Petersen United States

Heather M. Snyder United States

S. Lance Macaulay

1.5k ×0.8

PHYSI

1.4k ×0.9

PMH

771 ×1.0

313 ×0.5

720 ×1.3

NEURO

Citations per year, relative to S. Lance Macaulay S. Lance Macaulay (= 1×) peers Heather M. Snyder

Countries citing papers authored by S. Lance Macaulay

Since Specialization

Citations

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

Fields of papers citing papers by S. Lance Macaulay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Lance Macaulay. 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 S. Lance Macaulay. The network helps show where S. Lance Macaulay may publish in the future.

Co-authorship network of co-authors of S. Lance Macaulay

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fernando, Warnakulasuriya Mary Ann Dipika Binosha, Stephanie R. Rainey‐Smith, Samantha L. Gardener, et al.. (2018). Associations of Dietary Protein and Fiber Intake with Brain and Blood Amyloid-β. Journal of Alzheimer s Disease. 61(4). 1589–1598. 36 indexed citations

François, Maxime, Michael Fenech, Philip Thomas, et al.. (2016). High Content, Multi-Parameter Analyses in Buccal Cells to Identify Alzheimer's Disease. Current Alzheimer Research. 13(7). 787–799. 21 indexed citations

Brown, Belinda M., Stephanie R. Rainey‐Smith, Victor L. Villemagne, et al.. (2016). The Relationship between Sleep Quality and Brain Amyloid Burden. SLEEP. 39(5). 1063–1068. 118 indexed citations

Gu, Ben J., Xin Huang, Alan Rembach, et al.. (2016). Innate phagocytosis by peripheral blood monocytes is altered in Alzheimer’s disease. Acta Neuropathologica. 132(3). 377–389. 46 indexed citations

Gupta, Veer Bala, James D. Doecke, Eugene Hone, et al.. (2015). Plasma apolipoprotein J as a potential biomarker for Alzheimer's disease: Australian Imaging, Biomarkers and Lifestyle study of aging. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 3(1). 18–26. 30 indexed citations

Gupta, Veer Bala, Andrea C. Wilson, Samantha C. Burnham, et al.. (2015). Follow-up plasma apolipoprotein E levels in the Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing (AIBL) cohort. Alzheimer s Research & Therapy. 7(1). 16–16. 17 indexed citations

Leifert, Wayne R., Alan Rembach, Ralph N. Martins, et al.. (2015). Buccal Cell Cytokeratin 14 Correlates with Multiple Blood Biomarkers of Alzheimer’s Disease Risk. Journal of Alzheimer s Disease. 48(2). 443–452. 6 indexed citations

Burnham, Samantha C., Nandini Raghavan, W.J. Wilson, et al.. (2015). Novel Statistically-Derived Composite Measures for Assessing the Efficacy of Disease-Modifying Therapies in Prodromal Alzheimer’s Disease Trials: An AIBL Study. Journal of Alzheimer s Disease. 46(4). 1079–1089. 26 indexed citations

Rembach, Alan, Francesco C. Stingo, Christine B. Peterson, et al.. (2015). Bayesian Graphical Network Analyses Reveal Complex Biological Interactions Specific to Alzheimer's Disease. Journal of Alzheimer s Disease. 44(3). 917–925. 9 indexed citations

10.

Gardener, Samantha L., Stephanie R. Rainey‐Smith, S. Lance Macaulay, et al.. (2015). Comparative analysis of the Cancer Council of Victoria and the online Commonwealth Scientific and Industrial Research Organisation FFQ. British Journal Of Nutrition. 114(10). 1683–1693. 11 indexed citations

11.

Rembach, Alan, Andrew D. Watt, W.J. Wilson, et al.. (2014). An increased neutrophil–lymphocyte ratio in Alzheimer's disease is a function of age and is weakly correlated with neocortical amyloid accumulation. Journal of Neuroimmunology. 273(1-2). 65–71. 91 indexed citations

12.

Bourgeat, Pierrick, Victor L. Villemagne, Vincent Doré, et al.. (2014). Comparison of MR-less PiB SUVR quantification methods. Neurobiology of Aging. 36. S159–S166. 92 indexed citations

13.

Gardener, Samantha L., Stephanie R. Rainey‐Smith, Mary Barnes, et al.. (2014). Dietary patterns and cognitive decline in an Australian study of ageing. Molecular Psychiatry. 20(7). 860–866. 107 indexed citations

14.

Buckley, Rachel F., Michael M. Saling, Muireann Irish, et al.. (2014). Autobiographical narratives relate to Alzheimer's disease biomarkers in older adults. International Psychogeriatrics. 26(10). 1737–1746. 9 indexed citations

15.

Brown, Belinda M., Pierrick Bourgeat, Jeremiah J. Peiffer, et al.. (2014). Influence of BDNF Val66Met on the relationship between physical activity and brain volume. Neurology. 83(15). 1345–1352. 51 indexed citations

16.

Zhou, Luping, Olivier Salvado, Vincent Doré, et al.. (2014). MR-Less Surface-Based Amyloid Assessment Based on 11C PiB PET. PLoS ONE. 9(1). e84777–e84777. 38 indexed citations

17.

Cheng, Lesley, James D. Doecke, Robyn A. Sharples, et al.. (2014). Prognostic serum miRNA biomarkers associated with Alzheimer’s disease shows concordance with neuropsychological and neuroimaging assessment. Molecular Psychiatry. 20(10). 1188–1196. 324 indexed citations

18.

Frost, Shaun, Yogesan Kanagasingam, Hamid R. Sohrabi, et al.. (2013). Pupil Response Biomarkers for Early Detection and Monitoring of Alzheimer's Disease. Current Alzheimer Research. 10(9). 931–939. 22 indexed citations

19.

Buckley, Rachel F., Michael M. Saling, David Ames, et al.. (2013). Factors affecting subjective memory complaints in the AIBL aging study: biomarkers, memory, affect, and age. International Psychogeriatrics. 25(8). 1307–1315. 140 indexed citations

20.

Brown, Belinda M., Jeremiah J. Peiffer, Kevin Taddei, et al.. (2012). Physical activity and amyloid-β plasma and brain levels: results from the Australian Imaging, Biomarkers and Lifestyle Study of Ageing. Molecular Psychiatry. 18(8). 875–881. 191 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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