Mahsa Dadar

5.2k total citations
110 papers, 2.4k citations indexed

About

Mahsa Dadar is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Mahsa Dadar has authored 110 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Psychiatry and Mental health, 36 papers in Radiology, Nuclear Medicine and Imaging and 33 papers in Physiology. Recurrent topics in Mahsa Dadar's work include Dementia and Cognitive Impairment Research (40 papers), Advanced Neuroimaging Techniques and Applications (28 papers) and Alzheimer's disease research and treatments (27 papers). Mahsa Dadar is often cited by papers focused on Dementia and Cognitive Impairment Research (40 papers), Advanced Neuroimaging Techniques and Applications (28 papers) and Alzheimer's disease research and treatments (27 papers). Mahsa Dadar collaborates with scholars based in Canada, United States and France. Mahsa Dadar's co-authors include D. Louis Collins, Alain Dagher, Yashar Zeighami, Vladimir Fonov, Josefina Maranzano, Simon Duchesne, Simon Ducharme, Ana L. Manera, Kevin Larcher and Cassandra Morrison and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Mahsa Dadar

98 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mahsa Dadar Canada	30	722	657	607	599	549	110	2.4k
Natalie A. Royle United Kingdom	29	406 0.6×	1.0k 1.6×	979 1.6×	791 1.3×	410 0.7×	64	3.1k
Tracy R. Melzer New Zealand	26	1.4k 1.9×	913 1.4×	709 1.2×	602 1.0×	391 0.7×	83	3.0k
Marie‐Odile Habert France	32	708 1.0×	896 1.4×	354 0.6×	917 1.5×	683 1.2×	111	2.6k
In‐Uk Song South Korea	25	1.0k 1.4×	491 0.7×	538 0.9×	363 0.6×	320 0.6×	137	2.7k
Maria C. Valdés Hernández United Kingdom	21	447 0.6×	901 1.4×	1.1k 1.8×	738 1.2×	459 0.8×	33	3.1k
Mohamad Habes United States	24	258 0.4×	587 0.9×	521 0.9×	807 1.3×	588 1.1×	93	2.5k
Mona K. Beyer Norway	32	1.3k 1.8×	489 0.7×	557 0.9×	756 1.3×	639 1.2×	91	2.8k
Etsuko Imabayashi Japan	29	342 0.5×	836 1.3×	686 1.1×	761 1.3×	710 1.3×	83	2.5k
Catherine L. Gallagher United States	26	379 0.5×	406 0.6×	415 0.7×	610 1.0×	623 1.1×	74	1.9k
Huub A. M. Middelkoop Netherlands	35	1.0k 1.4×	1.3k 2.0×	486 0.8×	1.3k 2.2×	556 1.0×	100	4.1k

Countries citing papers authored by Mahsa Dadar

Since Specialization

Citations

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

Fields of papers citing papers by Mahsa Dadar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahsa Dadar

This figure shows the co-authorship network connecting the top 25 collaborators of Mahsa Dadar. A scholar is included among the top collaborators of Mahsa Dadar 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 Mahsa Dadar. Mahsa Dadar 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

Dadar, Mahsa, et al.. (2026). Histology to MRI registration quality of ex vivo human brain blocks fixed with solutions used in anatomy laboratories. SHILAP Revista de lepidopterología. 6.

Dadar, Mahsa, et al.. (2024). Irregular word reading as a marker of semantic decline in Alzheimer’s disease: implications for premorbid intellectual ability measurement. Alzheimer s Research & Therapy. 16(1). 96–96. 1 indexed citations

Morrison, Cassandra, et al.. (2024). Beyond Hypertension: Examining Variable Blood Pressure’s Role in Cognition and Brain Structure. The Journals of Gerontology Series B. 79(9). 2 indexed citations

Dadar, Mahsa, et al.. (2024). Can neuroimaging methods help us to disentangle WMH etiology in AD?. Alzheimer s & Dementia. 20(S2).

Morrison, Cassandra, et al.. (2024). The influence of APOE status on rate of cognitive decline. GeroScience. 46(3). 3263–3274. 4 indexed citations

Maranzano, Josefina, et al.. (2024). Differential effects of prolonged post-fixation on immunohistochemical and histochemical staining for postmortem human brains. Frontiers in Neuroanatomy. 18. 1477973–1477973.

Zeighami, Yashar, et al.. (2024). Frontotemporal dementia subtyping using machine learning, multivariate statistics and neuroimaging. Brain Communications. 7(1). fcaf065–fcaf065. 5 indexed citations

Dadar, Mahsa, et al.. (2024). Investigating the impact of motion in the scanner on brain age predictions. Imaging Neuroscience. 2. 13 indexed citations

Morrison, Cassandra, et al.. (2023). The use of hippocampal grading as a biomarker for preclinical and prodromal Alzheimer's disease. Human Brain Mapping. 44(8). 3147–3157. 6 indexed citations

10.

Zeighami, Yashar, Mahsa Dadar, Mélissa Pelletier, et al.. (2022). Impact of weight loss on brain age: Improved brain health following bariatric surgery. NeuroImage. 259. 119415–119415. 20 indexed citations

11.

Dadar, Mahsa, Sawsan M. Mahmoud, Sridar Narayanan, et al.. (2021). Diffusely abnormal white matter converts to T2 lesion volume in the absence of MRI-detectable acute inflammation. Brain. 145(6). 2008–2017. 7 indexed citations

12.

Morys, Filip, Mahsa Dadar, & Alain Dagher. (2021). Association Between Midlife Obesity and Its Metabolic Consequences, Cerebrovascular Disease, and Cognitive Decline. The Journal of Clinical Endocrinology & Metabolism. 106(10). e4260–e4274. 98 indexed citations

13.

Iceta, Sylvain, Mahsa Dadar, Mélissa Pelletier, et al.. (2021). Association between Visceral Adiposity Index, Binge Eating Behavior, and Grey Matter Density in Caudal Anterior Cingulate Cortex in Severe Obesity. Brain Sciences. 11(9). 1158–1158. 8 indexed citations

14.

Ottino‐González, Jonatan, Hugo C. Baggio, Marı́a Ángeles Jurado, et al.. (2021). Alterations in Brain Network Organization in Adults With Obesity as Compared With Healthy-Weight Individuals and Seniors. Psychosomatic Medicine. 83(7). 700–706. 4 indexed citations

15.

Potvin, Olivier, et al.. (2021). Birth cohorts and cognitive reserve influence cognitive performances in older adults. Corpus Université Laval (Université Laval). 8 indexed citations

16.

Yau, Yvonne, Mahsa Dadar, Yashar Zeighami, et al.. (2020). Neural Correlates of Evidence and Urgency During Human Perceptual Decision-Making in Dynamically Changing Conditions. Cerebral Cortex. 30(10). 5471–5483. 11 indexed citations

17.

Dadar, Mahsa, Sridar Narayanan, Douglas L. Arnold, D. Louis Collins, & Josefina Maranzano. (2020). Conversion of diffusely abnormal white matter to focal lesions is linked to progression in secondary progressive multiple sclerosis. Multiple Sclerosis Journal. 27(2). 208–219. 18 indexed citations

18.

Dadar, Mahsa, Ana L. Manera, Lorne Zinman, et al.. (2020). Cerebral atrophy in amyotrophic lateral sclerosis parallels the pathological distribution of TDP43. Brain Communications. 2(2). fcaa061–fcaa061. 29 indexed citations

19.

Maranzano, Josefina, Mahsa Dadar, David A. Rudko, et al.. (2019). Comparison of Multiple Sclerosis Cortical Lesion Types Detected by Multicontrast 3T and 7T MRI. American Journal of Neuroradiology. 40(7). 1162–1169. 32 indexed citations

20.

Vainik, Uku, Travis E. Baker, Mahsa Dadar, et al.. (2018). Neurobehavioral correlates of obesity are largely heritable. Proceedings of the National Academy of Sciences. 115(37). 9312–9317. 84 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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