Marilyn Grand’Maison

531 total citations
8 papers, 299 citations indexed

About

Marilyn Grand’Maison is a scholar working on Physiology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Marilyn Grand’Maison has authored 8 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 3 papers in Cognitive Neuroscience and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Marilyn Grand’Maison's work include Alzheimer's disease research and treatments (5 papers), Functional Brain Connectivity Studies (3 papers) and Dementia and Cognitive Impairment Research (2 papers). Marilyn Grand’Maison is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Functional Brain Connectivity Studies (3 papers) and Dementia and Cognitive Impairment Research (2 papers). Marilyn Grand’Maison collaborates with scholars based in Canada, United States and Germany. Marilyn Grand’Maison's co-authors include Barry J. Bedell, Alex Zijdenbos, Verena Rozanski, Pierre‐Marc Jodoin, Félix C. Morency, Ming‐Kai Ho, Marc-Alexandre Côté, Eleftherios Garyfallidis, Maxime Descoteaux and François Hébert and has published in prestigious journals such as Biochemical Journal, Journal of Medicinal Chemistry and Neurobiology of Aging.

In The Last Decade

Marilyn Grand’Maison

8 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marilyn Grand’Maison Canada	7	151	82	53	46	44	8	299
Panthea Heydari United States	4	99 0.7×	80 1.0×	72 1.4×	72 1.6×	39 0.9×	5	359
Chris W.J. van der Weijden Netherlands	12	141 0.9×	93 1.1×	70 1.3×	49 1.1×	126 2.9×	24	370
Jiri M.G. Van Bergen Switzerland	11	204 1.4×	152 1.9×	139 2.6×	84 1.8×	75 1.7×	15	519
Chul‐Woong Woo South Korea	10	79 0.5×	37 0.5×	17 0.3×	69 1.5×	44 1.0×	30	342
Donglang Jiang China	10	60 0.4×	70 0.9×	55 1.0×	46 1.0×	41 0.9×	29	304
Eline E. Verwer Netherlands	13	252 1.7×	175 2.1×	51 1.0×	57 1.2×	101 2.3×	17	501
István Boros Hungary	8	49 0.3×	89 1.1×	34 0.6×	92 2.0×	76 1.7×	20	355
Timo S. Spehl Germany	12	81 0.5×	109 1.3×	67 1.3×	50 1.1×	125 2.8×	20	427
Clarissa J. Liew United States	8	35 0.2×	55 0.7×	55 1.0×	161 3.5×	134 3.0×	9	475
L. Duchen United Kingdom	9	69 0.5×	114 1.4×	55 1.0×	123 2.7×	65 1.5×	9	416

Countries citing papers authored by Marilyn Grand’Maison

Since Specialization

Citations

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

Fields of papers citing papers by Marilyn Grand’Maison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marilyn Grand’Maison. 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 Marilyn Grand’Maison. The network helps show where Marilyn Grand’Maison may publish in the future.

Co-authorship network of co-authors of Marilyn Grand’Maison

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

All Works

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8 of 8 papers shown

Chiao, Ping, Barry J. Bedell, Brian Avants, et al.. (2018). Impact of Reference and Target Region Selection on Amyloid PET SUV Ratios in the Phase 1b PRIME Study of Aducanumab. Journal of Nuclear Medicine. 60(1). 100–106. 39 indexed citations

Bernard‐Gauthier, Vadim, Andrew V. Mossine, Anne Mahringer, et al.. (2017). Identification of [¹⁸F]TRACK, a Fluorine-18-Labeled Tropomyosin Receptor Kinase (Trk) Inhibitor for PET Imaging. Journal of Medicinal Chemistry. 61(4). 1737–1743. 40 indexed citations

Jodoin, Pierre‐Marc, Eleftherios Garyfallidis, Marc-Alexandre Côté, et al.. (2017). A test-retest study on Parkinson's PPMI dataset yields statistically significant white matter fascicles. NeuroImage Clinical. 16. 222–233. 102 indexed citations

Carbonell, Félix, Alex Zijdenbos, Arnaud Charil, Marilyn Grand’Maison, & Barry J. Bedell. (2015). Optimal Target Region for Subject Classification on the Basis of Amyloid PET Images. Journal of Nuclear Medicine. 56(9). 1351–1358. 15 indexed citations

Jadavji, Nafisa M., Liyuan Deng, Olga Malysheva, et al.. (2014). Mouse model for deficiency of methionine synthase reductase exhibits short-term memory impairment and disturbances in brain choline metabolism. Biochemical Journal. 461(2). 205–212. 27 indexed citations

Grand’Maison, Marilyn, Simone P. Zehntner, Ming‐Kai Ho, et al.. (2013). Early cortical thickness changes predict β-amyloid deposition in a mouse model of Alzheimer's disease. Neurobiology of Disease. 54. 59–67. 30 indexed citations

Hébert, François, Marilyn Grand’Maison, Ming‐Kai Ho, et al.. (2012). Cortical atrophy and hypoperfusion in a transgenic mouse model of Alzheimer's disease. Neurobiology of Aging. 34(6). 1644–1652. 45 indexed citations

Grand’Maison, Marilyn, François Hébert, Ming‐Kai Ho, & Barry J. Bedell. (2012). IC‐P‐004: Cerebral hypoperfusion in young transgenic APP mice predicts spatial distribution of amyloid deposition. Alzheimer s & Dementia. 8(4S_Part_1). 1 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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