Jason Hassenstab

13.2k total citations · 4 hit papers
117 papers, 4.8k citations indexed

About

Jason Hassenstab is a scholar working on Psychiatry and Mental health, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Jason Hassenstab has authored 117 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Psychiatry and Mental health, 46 papers in Physiology and 43 papers in Cognitive Neuroscience. Recurrent topics in Jason Hassenstab's work include Dementia and Cognitive Impairment Research (70 papers), Alzheimer's disease research and treatments (44 papers) and Functional Brain Connectivity Studies (27 papers). Jason Hassenstab is often cited by papers focused on Dementia and Cognitive Impairment Research (70 papers), Alzheimer's disease research and treatments (44 papers) and Functional Brain Connectivity Studies (27 papers). Jason Hassenstab collaborates with scholars based in United States, Australia and Germany. Jason Hassenstab's co-authors include John C. Morris, Anne M. Fagan, Antonio Convit, Tammie L.S. Benzinger, David M. Holtzman, Oliver T. Wolf, Kimberley Rogers, Chengjie Xiong, Elizabeth Grant and Beau M. Ances and has published in prestigious journals such as NeuroImage, Brain and Neurology.

In The Last Decade

Jason Hassenstab

109 papers receiving 4.7k citations

Hit Papers

Introducing MASC: A Movie... 2006 2026 2012 2019 2006 2016 2013 2020 200 400 600
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.

  1. Introducing MASC: A Movie for the Assessment of Social Cognition
    2006 618 citations Jason Hassenstab et al. profile →
  2. Tau and Aβ imaging, CSF measures, and cognition in Alzheimer’s disease
    2016 535 citations Brian A. Gordon, Jason Hassenstab et al. profile →
  3. Preclinical Alzheimer's disease and its outcome: a longitudinal cohort study
    2013 412 citations Chengjie Xiong, Jason Hassenstab et al. profile →
  4. Enabling Technologies for Personalized and Precision Medicine
    2020 264 citations Jason Hassenstab et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Hassenstab United States 30 2.2k 1.7k 1.7k 543 499 117 4.8k
Pierre Krolak‐Salmon France 37 1.7k 0.8× 1.0k 0.6× 1.7k 1.0× 355 0.7× 500 1.0× 190 4.7k
Jennifer Kim United States 21 1.7k 0.8× 1.7k 1.0× 2.2k 1.3× 419 0.8× 592 1.2× 48 7.3k
John L. Woodard United States 41 1.7k 0.8× 892 0.5× 1.5k 0.9× 478 0.9× 368 0.7× 168 5.8k
Tiffany W. Chow Canada 37 1.8k 0.8× 1.4k 0.8× 1.1k 0.7× 397 0.7× 542 1.1× 95 4.3k
Edward D. Huey United States 35 1.3k 0.6× 1.1k 0.7× 1.6k 1.0× 397 0.7× 601 1.2× 156 4.8k
Natalie Rasgon United States 49 1.9k 0.9× 1.2k 0.7× 669 0.4× 624 1.1× 279 0.6× 166 6.3k
Mathieu Vandenbulcke Belgium 43 1.6k 0.7× 1.3k 0.7× 1.4k 0.9× 240 0.4× 653 1.3× 190 5.2k
Julene K. Johnson United States 40 2.8k 1.3× 2.0k 1.2× 2.6k 1.6× 242 0.4× 733 1.5× 117 6.4k
Annalena Venneri United Kingdom 47 3.0k 1.3× 1.2k 0.7× 4.0k 2.4× 470 0.9× 797 1.6× 253 7.8k
Keith W. Boone United States 13 3.0k 1.4× 2.2k 1.3× 1.8k 1.1× 275 0.5× 833 1.7× 20 5.6k

Countries citing papers authored by Jason Hassenstab

Since Specialization
Citations

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

Fields of papers citing papers by Jason Hassenstab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Hassenstab

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

All Works

20 of 20 papers shown
1.
Lu, Ruijin, Cristina D. Toedebusch, Arthur Hess, et al.. (2025). Associations of Cerebrospinal Fluid Orexin‐A, Alzheimer Disease Biomarkers, and Cognitive Performance. Annals of Clinical and Translational Neurology. 12(4). 780–791. 1 indexed citations
2.
Millar, Peter R, Nicole S. McKay, Andrew J. Aschenbrenner, et al.. (2025). The associations between attentional control, episodic memory, and Alzheimer's disease biomarkers of tau and neurodegeneration. Journal of Alzheimer s Disease. 104(2). 351–363. 1 indexed citations
3.
Polk, Sarah E., Fredrik Öhman, Jason Hassenstab, et al.. (2025). A scoping review of remote and unsupervised digital cognitive assessments in preclinical Alzheimer’s disease. npj Digital Medicine. 8(1). 266–266. 5 indexed citations
4.
Wang, Qing, Suzanne E. Schindler, Gengsheng Chen, et al.. (2024). Investigating White Matter Neuroinflammation in Alzheimer Disease Using Diffusion-Based Neuroinflammation Imaging. Neurology. 102(4). e208013–e208013. 12 indexed citations
5.
McKay, Nicole S., Peter R Millar, Andrew J. Aschenbrenner, et al.. (2024). Pick a PACC: Comparing domain-specific and general cognitive composites in Alzheimer disease research.. Neuropsychology. 38(5). 443–464. 6 indexed citations
6.
Aschenbrenner, Andrew J., Jennifer L. Crawford, Jonathan E. Peelle, et al.. (2023). Increased cognitive effort costs in healthy aging and preclinical Alzheimer’s disease.. Psychology and Aging. 38(5). 428–442. 9 indexed citations
7.
Bollinger, Rebecca M., Julie K. Wisch, Jason Hassenstab, et al.. (2023). Precipitating Mechanisms of Falls in Preclinical Alzheimer’s Disease. Journal of Alzheimer s Disease Reports. 7(1). 739–750. 3 indexed citations
8.
Gorijala, Priyanka, Muhammad Aslam, Laura Xicota, et al.. (2023). Alzheimer's polygenic risk scores are associated with cognitive phenotypes in Down syndrome. Alzheimer s & Dementia. 20(2). 1038–1049. 4 indexed citations
9.
Beck, Emorie D, Tomiko Yoneda, Bryan D. James, et al.. (2023). Personality predictors of dementia diagnosis and neuropathological burden: An individual participant data meta‐analysis. Alzheimer s & Dementia. 20(3). 1497–1514. 13 indexed citations
10.
Tarawneh, Rawan, et al.. (2022). Vascular endothelial‐cadherin as a marker of endothelial injury in preclinical Alzheimer disease. Annals of Clinical and Translational Neurology. 9(12). 1926–1940. 12 indexed citations
11.
Lucey, Brendan P., Julie K. Wisch, Anna H. Boerwinkle, et al.. (2021). Sleep and longitudinal cognitive performance in preclinical and early symptomatic Alzheimer’s disease. Brain. 144(9). 2852–2862. 87 indexed citations
12.
Grober, Ellen, Qi Qi, Lynn Kuo, et al.. (2021). The Free and Cued Selective Reminding Test Predicts Braak Stage. Journal of Alzheimer s Disease. 80(1). 175–183. 8 indexed citations
13.
Jin, Yuxuan, Anne M. Fagan, Tammie L.S. Benzinger, et al.. (2020). Physical Exercise and Longitudinal Trajectories in Alzheimer Disease Biomarkers and Cognitive Functioning. Alzheimer Disease & Associated Disorders. 34(3). 212–219. 17 indexed citations
14.
Teylan, Merilee, Charles Mock, Kathryn Gauthreaux, et al.. (2019). Cognitive trajectory in mild cognitive impairment due to primary age-related tauopathy. Brain. 143(2). 611–621. 46 indexed citations
15.
Dang, Christa, Karra Harrington, Yen Ying Lim, et al.. (2018). Superior Memory Reduces 8-year Risk of Mild Cognitive Impairment and Dementia But Not Amyloid β-Associated Cognitive Decline in Older Adults. Archives of Clinical Neuropsychology. 34(5). 585–598. 21 indexed citations
16.
Wang, Guoqiao, Chengjie Xiong, Eric McDade, et al.. (2018). P2‐076: A NOVEL ALTERNATIVE MODEL TO MMRM AS THE PRIMARY MODEL FOR SPORADIC AD CLINICAL TRIALS: THE PROPORTIONAL MMRM. Alzheimer s & Dementia. 14(7S_Part_12).
17.
Lim, Yen Ying, Jason Hassenstab, Alison Goate, et al.. (2018). Effect ofBDNFVal66Met on disease markers in dominantly inherited Alzheimer's disease. Annals of Neurology. 84(3). 424–435. 21 indexed citations
18.
Harrington, Karra, David Ames, Jason Hassenstab, et al.. (2016). Using robust normative data to investigate the neuropsychology of cognitive aging. Murdoch Research Repository (Murdoch University). 1 indexed citations
19.
Benitez, Andreana, Jason Hassenstab, & Katherine J. Bangen. (2013). Neuroimaging Training Among Neuropsychologists: A Survey of the State of Current Training and Recommendations for Trainees. The Clinical Neuropsychologist. 28(4). 600–613. 3 indexed citations
20.
Alosco, Michael L., John Gunstad, Beth A. Jerskey, et al.. (2013). The adverse effects of reduced cerebral perfusion on cognition and brain structure in older adults with cardiovascular disease. Brain and Behavior. 3(6). 626–636. 83 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Pierre Krolak‐Salmon Breakdown of academic impact, for papers by Jennifer Kim Breakdown of academic impact, for papers by John L. Woodard Breakdown of academic impact, for papers by Tiffany W. Chow Breakdown of academic impact, for papers by Edward D. Huey Breakdown of academic impact, for papers by Natalie Rasgon Breakdown of academic impact, for papers by Mathieu Vandenbulcke Breakdown of academic impact, for papers by Julene K. Johnson Breakdown of academic impact, for papers by Annalena Venneri Breakdown of academic impact, for papers by Keith W. Boone
Rankless by CCL
2026