Christopher C. Rowe
About
Christopher C. Rowe is a scholar working on Psychiatry and Mental health, Physiology and Cognitive Neuroscience.
According to data from OpenAlex, Christopher C. Rowe has authored 84 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Psychiatry and Mental health, 43 papers in Physiology and 20 papers in Cognitive Neuroscience. Recurrent topics in Christopher C. Rowe's work include Dementia and Cognitive Impairment Research (63 papers), Alzheimer's disease research and treatments (36 papers) and Functional Brain Connectivity Studies (16 papers). Christopher C. Rowe is often cited by papers focused on Dementia and Cognitive Impairment Research (63 papers), Alzheimer's disease research and treatments (36 papers) and Functional Brain Connectivity Studies (16 papers). Christopher C. Rowe collaborates with scholars based in Australia, United States and United Kingdom. Christopher C. Rowe's co-authors include Colin L. Masters, Ralph N. Martins, Kathryn A. Ellis, David Ames, Cassandra Szoeke, Victor L. Villemagne, Paul Maruff, Nicola T. Lautenschlager, Yen Ying Lim and Karra Harrington and has published in prestigious journals such as PLoS ONE, Brain and Scientific Reports.
In The Last Decade
Christopher C. Rowe
83 papers receiving 4.2k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Christopher C. Rowe Australia | 34 | 2.3k | 1.8k | 971 | 531 | 450 | 84 | 4.3k | ||
| Yen Ying Lim Australia | 35 | 2.0k 0.9× | 1.7k 1.0× | 966 1.0× | 428 0.8× | 285 0.6× | 143 | 3.9k | ||
| Marilyn Albert United States | 45 | 3.1k 1.3× | 1.9k 1.1× | 1.3k 1.3× | 581 1.1× | 399 0.9× | 104 | 6.5k | ||
| Jessica B. Langbaum United States | 31 | 2.1k 0.9× | 2.0k 1.1× | 886 0.9× | 475 0.9× | 414 0.9× | 109 | 3.8k | ||
| Rebecca L. Koscik United States | 42 | 2.3k 1.0× | 1.9k 1.0× | 1.2k 1.3× | 488 0.9× | 390 0.9× | 167 | 5.3k | ||
| Belinda M. Brown Australia | 25 | 1.7k 0.7× | 2.2k 1.2× | 842 0.9× | 522 1.0× | 335 0.7× | 88 | 4.3k | ||
| Rachel F. Buckley United States | 35 | 3.0k 1.3× | 1.6k 0.9× | 1.6k 1.6× | 495 0.9× | 404 0.9× | 149 | 4.7k | ||
| Elizabeth Grant United States | 30 | 2.4k 1.0× | 1.8k 1.0× | 796 0.8× | 453 0.9× | 262 0.6× | 67 | 3.7k | ||
| Jong Inn Woo South Korea | 35 | 2.1k 0.9× | 1.4k 0.8× | 1.1k 1.1× | 489 0.9× | 429 1.0× | 107 | 4.2k | ||
| Duane Beekly United States | 10 | 2.5k 1.1× | 1.5k 0.8× | 777 0.8× | 451 0.8× | 249 0.6× | 16 | 3.8k | ||
| Nicole A. Kochan Australia | 42 | 2.7k 1.2× | 1.2k 0.6× | 1.3k 1.4× | 617 1.2× | 841 1.9× | 171 | 5.7k |
Countries citing papers authored by Christopher C. Rowe
Since
Specialization
Citations
This map shows the geographic impact of Christopher C. Rowe'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 Christopher C. Rowe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher C. Rowe more than expected).
Fields of papers citing papers by Christopher C. Rowe
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Christopher C. Rowe. 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 Christopher C. Rowe. The network helps show where Christopher C. Rowe may publish in the future.
Co-authorship network of co-authors of Christopher C. Rowe
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher C. Rowe. A scholar is included among the top collaborators of Christopher C. Rowe 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 Christopher C. Rowe. Christopher C. Rowe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Doré, Vincent, Pierrick Bourgeat, Victor L. Villemagne, et al.. (2024). Effect of Scanner on beta amyloid quantification in a head‐to‐head comparison of 18F‐NAV4694 Centiloid measurements between Biograph Vision, Gemini and Biograph mCT. Alzheimer s & Dementia. 20(S2).
2.
Venkatraman, Vijay, Christopher Steward, Kay L. Cox, et al.. (2020). Baseline White Matter Is Associated With Physical Fitness Change in Preclinical Alzheimer’s Disease. Frontiers in Aging Neuroscience. 12. 115–115.
3.
Venkatraman, Vijay, Andrew Sanderson, Kay L. Cox, et al.. (2019). Effect of a 24-month physical activity program on brain changes in older adults at risk of Alzheimer's disease: the AIBL active trial. Neurobiology of Aging. 89. 132–141.
4.
Harrington, Karra, Christa Dang, Yen Ying Lim, et al.. (2018). The effect of preclinical Alzheimer's disease on age-related changes in intelligence in cognitively normal older adults. Intelligence. 70. 22–29.
5.
Harrington, Karra, Yen Ying Lim, Kathryn A. Ellis, et al.. (2018). Amyloid burden and incident depressive symptoms in preclinical Alzheimer’s disease. Journal of Affective Disorders. 229. 269–274.
6.
Lim, Yen Ying, Simon M. Laws, Victor L. Villemagne, et al.. (2017). APOE ɛ4 Genotype, Amyloid, and Clinical Disease Progression in Cognitively Normal Older Adults. Journal of Alzheimer s Disease. 57(2). 411–422.
7.
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.
8.
Buckley, Rachel F., Victor L. Villemagne, Colin L. Masters, et al.. (2016). A Conceptualization of the Utility of Subjective Cognitive Decline in Clinical Trials of Preclinical Alzheimer’s Disease. Journal of Molecular Neuroscience. 60(3). 354–361.
9.
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.
10.
Thai, Christine, Yen Ying Lim, Victor L. Villemagne, et al.. (2015). Amyloid-Related Memory Decline in Preclinical Alzheimer’s Disease Is Dependent on APOE ε4 and Is Detectable over 18-Months. PLoS ONE. 10(10). e0139082–e0139082.
11.
Lim, Yen Ying, Victor L. Villemagne, Simon M. Laws, et al.. (2014). Effect of BDNF Val66Met on Memory Decline and Hippocampal Atrophy in Prodromal Alzheimer’s Disease: A Preliminary Study. PLoS ONE. 9(1). e86498–e86498.
12.
Lim, Yen Ying, Victor L. Villemagne, Robert H. Pietrzak, et al.. (2014). APOE ε4 moderates amyloid-related memory decline in preclinical Alzheimer's disease. Neurobiology of Aging. 36(3). 1239–1244.
13.
Lim, Yen Ying, Rachel F. Buckley, Robert H. Pietrzak, et al.. (2014). Amyloid-β Related Memory Decline is not Associated with Subjective or Informant Rated Cognitive Impairment in Healthy Adults. Journal of Alzheimer s Disease. 43(2). 677–686.
14.
Cyarto, Elizabeth, Nicola T. Lautenschlager, Patricia Desmond, et al.. (2012). Protocol for a randomized controlled trial evaluating the effect of physical activity on delaying the progression of white matter changes on MRI in older adults with memory complaints and mild cognitive impairment: The AIBL Active trial. BMC Psychiatry. 12(1). 167–167.
15.
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.
16.
Lim, Yen Ying, Kathryn A. Ellis, Karra Harrington, et al.. (2012). Use of the CogState Brief Battery in the assessment of Alzheimer's disease related cognitive impairment in the Australian Imaging, Biomarkers and Lifestyle (AIBL) study. Journal of Clinical and Experimental Neuropsychology. 34(4). 345–358.
17.
Ellis, Kathryn A., Paul Maruff, Ralph N. Martins, et al.. (2012). P3‐093: Rates of conversion to MCI and Alzheimer's in the Australian Imaging, Biomarkers and Lifestyle (AIBL) cohort over 36 months. Alzheimer s & Dementia. 8(4S_Part_13).
18.
Chételat, Gaël, Victor L. Villemagne, Kerryn E. Pike, et al.. (2012). Relationship between Memory Performance and β-Amyloid Deposition at Different Stages of Alzheimer’s Disease. Neurodegenerative Diseases. 10(1-4). 141–144.
19.
Buckley, Rachel F., Michael M. Saling, Kathryn A. Ellis, et al.. (2011). P1‐396: Cognitive and affective predictors of subjective memory complaints in the Australian Imaging Biomarkers and Lifestyle (AIBL) study of aging: A cross‐sectional analysis. Alzheimer s & Dementia. 7(4S_Part_7).
20.
Ellis, Kathryn A., Ashley I. Bush, David Darby, et al.. (2009). The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease. International Psychogeriatrics. 21(4). 672–687.
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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