Michael J Properzi

4.0k total citations
62 papers, 1.5k citations indexed

About

Michael J Properzi is a scholar working on Psychiatry and Mental health, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Michael J Properzi has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Psychiatry and Mental health, 33 papers in Physiology and 20 papers in Cognitive Neuroscience. Recurrent topics in Michael J Properzi's work include Dementia and Cognitive Impairment Research (53 papers), Alzheimer's disease research and treatments (32 papers) and Functional Brain Connectivity Studies (19 papers). Michael J Properzi is often cited by papers focused on Dementia and Cognitive Impairment Research (53 papers), Alzheimer's disease research and treatments (32 papers) and Functional Brain Connectivity Studies (19 papers). Michael J Properzi collaborates with scholars based in United States, Australia and Belgium. Michael J Properzi's co-authors include Reisa A. Sperling, Keith A. Johnson, Dorene M. Rentz, Aaron P. Schultz, Rachel F. Buckley, Rebecca E. Amariglio, Gad A. Marshall, Bernard Hanseeuw, Kathryn V. Papp and Heidi I.L. Jacobs and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Michael J Properzi

57 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael J Properzi United States	21	931	681	492	210	144	62	1.5k
Inez H.G.B. Ramakers Netherlands	28	1.2k 1.3×	718 1.1×	402 0.8×	247 1.2×	144 1.0×	90	2.2k
Hwamee Oh United States	18	817 0.9×	725 1.1×	729 1.5×	181 0.9×	241 1.7×	35	1.3k
Colin Groot Netherlands	21	897 1.0×	681 1.0×	444 0.9×	176 0.8×	153 1.1×	49	1.7k
Jacqueline Maye United States	13	1.0k 1.1×	705 1.0×	530 1.1×	145 0.7×	168 1.2×	29	1.4k
Elizabeth Crocco United States	17	1.1k 1.2×	589 0.9×	424 0.9×	176 0.8×	59 0.4×	46	1.9k
Yakeel T. Quiroz United States	26	1.2k 1.3×	1.1k 1.6×	710 1.4×	242 1.2×	146 1.0×	123	2.4k
Alexandra J. Weigand United States	22	682 0.7×	396 0.6×	318 0.6×	239 1.1×	131 0.9×	65	1.2k
Tobey J. Betthauser United States	23	956 1.0×	844 1.2×	299 0.6×	198 0.9×	228 1.6×	97	1.7k
Judith L. Heidebrink United States	15	809 0.9×	494 0.7×	252 0.5×	192 0.9×	142 1.0×	32	1.3k
Karra Harrington United States	27	1.1k 1.2×	934 1.4×	543 1.1×	191 0.9×	71 0.5×	72	2.1k

Countries citing papers authored by Michael J Properzi

Since Specialization

Citations

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

Fields of papers citing papers by Michael J Properzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J Properzi. 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 Michael J Properzi. The network helps show where Michael J Properzi may publish in the future.

Co-authorship network of co-authors of Michael J Properzi

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

All Works

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20 of 20 papers shown

Ye, Rong, Pia Kivisäkk, Michael J Properzi, et al.. (2025). Plasma Phosphorylated Tau181 as a Biomarker for Alzheimer's Disease Co‐Pathology in Lewy Body Disease. Movement Disorders. 40(9). 1930–1939.

Fu, Jessie Fanglu, Roos J. Jutten, Michael J Properzi, et al.. (2025). Higher Amyloid and Tau Burden Is Associated With Faster Decline on a Digital Cognitive Test. Annals of Clinical and Translational Neurology. 13(3). 562–573. 1 indexed citations

Locascio, Joseph J., Christopher González, Michael J Properzi, et al.. (2024). Longitudinal associations of apathy and regional tau in mild cognitive impairment and dementia: Findings from the Alzheimer's Disease Neuroimaging Initiative. Alzheimer s & Dementia Translational Research & Clinical Interventions. 10(1). e12442–e12442. 3 indexed citations

Ye, Rong, Joseph J. Locascio, Michael J Properzi, et al.. (2024). Differential Vulnerability of Hippocampal Subfields to Amyloid and Tau Deposition in the Lewy Body Diseases. Neurology. 102(12). e209460–e209460. 6 indexed citations

Shirzadi, Zahra, Aaron P. Schultz, Michael J Properzi, et al.. (2024). Greater White Matter Hyperintensity Volume Is Associated with the Number of Microhemorrhages in Preclinical Alzheimer's Disease. The Journal of Prevention of Alzheimer s Disease. 11(4). 869–873. 5 indexed citations

Díez, Ibai, Christopher González, Rebecca E. Amariglio, et al.. (2024). Amyloid and tau burden relate to longitudinal changes in the performance of complex everyday activities among cognitively unimpaired older adults: results from the performance-based Harvard Automated Phone Task. Frontiers in Aging Neuroscience. 16. 1420290–1420290. 1 indexed citations

Munro, Catherine E., Michelle Farrell, Bernard Hanseeuw, et al.. (2024). Change in Depressive Symptoms and Longitudinal Regional Amyloid Accumulation in Unimpaired Older Adults. JAMA Network Open. 7(8). e2427248–e2427248. 4 indexed citations

Yang, Hyun‐Sik, Daniel W. Kang, Vilas Menon, et al.. (2023). Cell-type-specific Alzheimer’s disease polygenic risk scores are associated with distinct disease processes in Alzheimer’s disease. Nature Communications. 14(1). 7659–7659. 16 indexed citations

Weizenbaum, Emma, Daniel Soberanes, Stephanie Hsieh, et al.. (2023). Capturing learning curves with the multiday Boston Remote Assessment of Neurocognitive Health (BRANCH): Feasibility, reliability, and validity.. Neuropsychology. 38(2). 198–210. 12 indexed citations

10.

Jutten, Roos J., Rebecca E. Amariglio, Paul Maruff, et al.. (2023). Increased intraindividual variability in reaction time performance is associated with emerging cognitive decline in cognitively unimpaired adults.. Neuropsychology. 38(2). 184–197. 9 indexed citations

11.

Jutten, Roos J., Michael J Properzi, Rebecca E. Amariglio, et al.. (2023). The Mobile Toolbox for assessing cognition in older adults: associations with standardized cognitive testing and amyloid and tau PET. Alzheimer s & Dementia. 19(S18). 2 indexed citations

12.

Jutten, Roos J., Dorene M. Rentz, Jessie Fanglu Fu, et al.. (2022). Monthly At-Home Computerized Cognitive Testing to Detect Diminished Practice Effects in Preclinical Alzheimer's Disease. Frontiers in Aging Neuroscience. 13. 800126–800126. 34 indexed citations

13.

Jacobs, Heidi I.L., J. Alex Becker, Kenneth K. Kwong, et al.. (2021). In vivo and neuropathology data support locus coeruleus integrity as indicator of Alzheimer’s disease pathology and cognitive decline. Science Translational Medicine. 13(612). eabj2511–eabj2511. 130 indexed citations

14.

Scott, Matthew R., Olivia Hampton, Rachel F. Buckley, et al.. (2020). Inferior temporal tau is associated with accelerated prospective cortical thinning in clinically normal older adults. NeuroImage. 220. 116991–116991. 34 indexed citations

15.

Hampton, Olivia, Rachel F. Buckley, Matthew R. Scott, et al.. (2020). Resting-state functional connectivity and amyloid burden influence longitudinal cortical thinning in the default mode network in preclinical Alzheimer’s disease. NeuroImage Clinical. 28. 102407–102407. 29 indexed citations

16.

Jutten, Roos J., Sietske A.M. Sikkes, Rebecca E. Amariglio, et al.. (2020). Identifying Sensitive Measures of Cognitive Decline at Different Clinical Stages of Alzheimer’s Disease. Journal of the International Neuropsychological Society. 27(5). 426–438. 40 indexed citations

17.

Sarkis, Rani A., Yuxiang Zhang, Joseph J. Locascio, et al.. (2020). The neurophysiology and seizure outcomes of late onset unexplained epilepsy. Clinical Neurophysiology. 131(11). 2667–2672. 18 indexed citations

18.

Buckley, Rachel F., Elizabeth C. Mormino, Jasmeer P. Chhatwal, et al.. (2019). Associations between baseline amyloid, sex, and APOE on subsequent tau accumulation in cerebrospinal fluid. Neurobiology of Aging. 78. 178–185. 53 indexed citations

19.

Properzi, Michael J, Rachel F. Buckley, Jasmeer P. Chhatwal, et al.. (2018). Nonlinear Distributional Mapping (NoDiM) for harmonization across amyloid-PET radiotracers. NeuroImage. 186. 446–454. 14 indexed citations

20.

Uquillas, Federico d’Oleire, Heidi I.L. Jacobs, Michael J Properzi, et al.. (2018). Regional tau pathology and loneliness in cognitively normal older adults. Translational Psychiatry. 8(1). 282–282. 49 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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