Maria Ly

1.1k total citations
26 papers, 666 citations indexed

About

Maria Ly is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maria Ly has authored 26 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 12 papers in Psychiatry and Mental health and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maria Ly's work include Functional Brain Connectivity Studies (11 papers), Dementia and Cognitive Impairment Research (10 papers) and Memory and Neural Mechanisms (7 papers). Maria Ly is often cited by papers focused on Functional Brain Connectivity Studies (11 papers), Dementia and Cognitive Impairment Research (10 papers) and Memory and Neural Mechanisms (7 papers). Maria Ly collaborates with scholars based in United States, China and Taiwan. Maria Ly's co-authors include Elizabeth Murray, Michael A. Yassa, Howard Aizenstein, Helmet T. Karim, Allen Chang, John P. Toscano, Gary Yu, Gizem Keceli, Jared M. Roberts and Zachariah M. Reagh and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Brain Research.

In The Last Decade

Maria Ly

25 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Ly United States 15 298 179 114 82 80 26 666
Dajung J. Kim South Korea 13 248 0.8× 186 1.0× 98 0.9× 56 0.7× 73 0.9× 18 581
Thomas Beaudry Canada 12 284 1.0× 165 0.9× 154 1.4× 83 1.0× 39 0.5× 25 700
Kamiyu Ogyu Japan 12 312 1.0× 218 1.2× 83 0.7× 128 1.6× 118 1.5× 22 884
V Rajmohan India 11 142 0.5× 182 1.0× 161 1.4× 71 0.9× 91 1.1× 27 702
Miguel Ángel Barbancho Spain 15 250 0.8× 153 0.9× 88 0.8× 102 1.2× 41 0.5× 47 706
Véronique Paban France 15 282 0.9× 196 1.1× 97 0.9× 150 1.8× 29 0.4× 35 762
Fabrizia D’Antonio Italy 18 215 0.7× 227 1.3× 136 1.2× 50 0.6× 43 0.5× 55 793
Cheng‐Hao Tu Taiwan 17 316 1.1× 151 0.8× 280 2.5× 41 0.5× 231 2.9× 41 1.2k
Destiny L. Miller United States 4 151 0.5× 120 0.7× 155 1.4× 109 1.3× 33 0.4× 5 576
Samuel R. Krimmel United States 11 259 0.9× 144 0.8× 112 1.0× 221 2.7× 98 1.2× 18 680

Countries citing papers authored by Maria Ly

Since Specialization
Citations

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

Fields of papers citing papers by Maria Ly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Ly

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Ly. A scholar is included among the top collaborators of Maria Ly 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 Maria Ly. Maria Ly 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.
Ly, Maria, et al.. (2024). Longitudinal accelerated brain age in mild cognitive impairment and Alzheimer’s disease. Frontiers in Aging Neuroscience. 16. 1433426–1433426. 1 indexed citations
2.
Mizuno, Akiko, Helmet T. Karim, Maria Ly, et al.. (2023). Low thalamic activity during a digit-symbol substitution task is associated with symptoms of subjective cognitive decline. Frontiers in Psychiatry. 14. 1242822–1242822.
3.
Dolatshahi, Mahsa, Paul K. Commean, Farzaneh Rahmani, et al.. (2023). Alzheimer Disease Pathology and Neurodegeneration in Midlife Obesity: A Pilot Study. Aging and Disease. 15(4). 1843–1854. 14 indexed citations
4.
Brier, Matthew R., Maria Ly, Helmet T. Karim, et al.. (2023). “Brain age” predicts disability accumulation in multiple sclerosis. Annals of Clinical and Translational Neurology. 10(6). 990–1001. 16 indexed citations
5.
Ly, Maria, Gary Yu, Ali Mian, et al.. (2023). Neuroinflammation: A Modifiable Pathway Linking Obesity, Alzheimer's disease, and Depression. American Journal of Geriatric Psychiatry. 31(10). 853–866. 43 indexed citations
6.
Ly, Maria, et al.. (2022). Brain PET Imaging. PET Clinics. 18(1). 123–133. 13 indexed citations
7.
Ly, Maria, Helmet T. Karim, James T. Becker, et al.. (2021). Late-life depression and increased risk of dementia: a longitudinal cohort study. Translational Psychiatry. 11(1). 147–147. 62 indexed citations
8.
Yu, Gary, et al.. (2021). Accelerated brain aging in chronic low back pain. Brain Research. 1755. 147263–147263. 22 indexed citations
9.
Karim, Helmet T., Maria Ly, Gary Yu, et al.. (2021). Aging faster: worry and rumination in late life are associated with greater brain age. Neurobiology of Aging. 101. 13–21. 41 indexed citations
10.
Xu, Jingyi, Xing Qiu, Gary Yu, et al.. (2021). Soluble epoxide hydrolase inhibitor can protect the femoral head against tobacco smoke exposure-induced osteonecrosis in spontaneously hypertensive rats. Toxicology. 465. 153045–153045. 1 indexed citations
11.
Ly, Maria, et al.. (2020). Mesoscale diffusion magnetic resonance imaging of the ex vivo human hippocampus. Human Brain Mapping. 41(15). 4200–4218. 21 indexed citations
12.
Lin, Chemin, Maria Ly, Helmet T. Karim, et al.. (2020). The effect of amyloid deposition on longitudinal resting-state functional connectivity in cognitively normal older adults. Alzheimer s Research & Therapy. 12(1). 7–7. 15 indexed citations
13.
Wu, Mingguang, et al.. (2019). When worry may be good for you: Worry severity and limbic-prefrontal functional connectivity in late-life generalized anxiety disorder. Journal of Affective Disorders. 257. 650–657. 11 indexed citations
14.
Ly, Maria, Gary Yu, Helmet T. Karim, et al.. (2019). Improving brain age prediction models: incorporation of amyloid status in Alzheimer's disease. Neurobiology of Aging. 87. 44–48. 30 indexed citations
15.
Raji, Cyrus A., Maria Ly, & Tammie L.S. Benzinger. (2019). Overview of MR Imaging Volumetric Quantification in Neurocognitive Disorders. Topics in Magnetic Resonance Imaging. 28(6). 311–315. 8 indexed citations
16.
Mizuno, Akiko, Maria Ly, & Howard Aizenstein. (2018). A Homeostatic Model of Subjective Cognitive Decline. Brain Sciences. 8(12). 228–228. 11 indexed citations
17.
Shim, Hyungsub, Maria Ly, & Sarah K. Tighe. (2015). Brain Imaging in the Differential Diagnosis of Young-Onset Dementias. Psychiatric Clinics of North America. 38(2). 281–294. 7 indexed citations
18.
Murray, Elizabeth, Gizem Keceli, Allen Chang, et al.. (2014). Post-study caffeine administration enhances memory consolidation in humans. Nature Neuroscience. 17(2). 201–203. 160 indexed citations
19.
Reagh, Zachariah M., et al.. (2014). Dissociated Signals in Human Dentate Gyrus and CA3 Predict Different Facets of Recognition Memory. Journal of Neuroscience. 34(40). 13301–13313. 25 indexed citations
20.
Ly, Maria, Elizabeth Murray, & Michael A. Yassa. (2013). Perceptual versus conceptual interference and pattern separation of verbal stimuli in young and older adults. Hippocampus. 23(6). 425–430. 42 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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