Howard Aizenstein

22.1k total citations · 3 hit papers
340 papers, 15.1k citations indexed

About

Howard Aizenstein is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Howard Aizenstein has authored 340 papers receiving a total of 15.1k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Cognitive Neuroscience, 124 papers in Psychiatry and Mental health and 102 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Howard Aizenstein's work include Functional Brain Connectivity Studies (116 papers), Dementia and Cognitive Impairment Research (95 papers) and Advanced Neuroimaging Techniques and Applications (71 papers). Howard Aizenstein is often cited by papers focused on Functional Brain Connectivity Studies (116 papers), Dementia and Cognitive Impairment Research (95 papers) and Advanced Neuroimaging Techniques and Applications (71 papers). Howard Aizenstein collaborates with scholars based in United States, Canada and South Korea. Howard Aizenstein's co-authors include Oscar L. López, Charles F. Reynolds, Meryl A. Butters, James T. Becker, Caterina Rosano, William E. Klunk, Steven T. DeKosky, Julie C. Price, Chester A. Mathis and Anne B. Newman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Neuroscience.

In The Last Decade

Howard Aizenstein

324 papers receiving 14.9k citations

Hit Papers

align trajectories sort by overperformance

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.

Frequent Amyloid Deposition Without Significant Cognitive Impairment Among the Elderly

2008 799 citations Howard Aizenstein, Judith Saxton et al. profile →
Fibrillar amyloid-β burden in cognitively normal people at 3 levels of genetic risk for Alzheimer's disease

2009 618 citations Eric M. Reiman, Kewei Chen et al. Proceedings of the National Academy of Sciences profile →
The vascular depression hypothesis: mechanisms linking vascular disease with depression

2013 601 citations Howard Aizenstein et al. Molecular Psychiatry profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Howard Aizenstein	5.4k	5.1k	3.4k	2.8k	1.7k	340	15.1k
Julie C. Price	7.2k 1.3×	5.2k 1.0×	7.2k 2.1×	3.5k 1.3×	1.6k 0.9×	259	17.6k
Deborah Blacker	7.3k 1.3×	9.0k 1.8×	5.8k 1.7×	4.5k 1.7×	1.3k 0.8×	188	22.1k
Klaus P. Ebmeier	6.5k 1.2×	7.1k 1.4×	2.2k 0.7×	3.2k 1.2×	2.3k 1.4×	328	19.6k
Hans Förstl	5.4k 1.0×	4.9k 1.0×	3.9k 1.2×	1.4k 0.5×	1.0k 0.6×	399	14.2k
Sterling C. Johnson	6.9k 1.3×	7.1k 1.4×	7.8k 2.3×	3.7k 1.4×	1.7k 1.0×	530	24.8k
Adam M. Brickman	5.7k 1.1×	4.8k 0.9×	3.9k 1.1×	3.1k 1.1×	903 0.5×	402	15.6k
Paul Maruff	10.3k 1.9×	7.9k 1.5×	6.3k 1.9×	1.6k 0.6×	2.8k 1.7×	573	26.4k
Yvette I. Sheline	5.5k 1.0×	10.0k 2.0×	3.3k 1.0×	3.4k 1.2×	3.5k 2.1×	153	21.2k
Kousik Krishnan	5.0k 0.9×	3.5k 0.7×	2.0k 0.6×	1.9k 0.7×	1.1k 0.7×	249	14.9k
Martin Ingvar	4.2k 0.8×	8.6k 1.7×	4.1k 1.2×	1.3k 0.5×	1.8k 1.1×	295	17.4k

Countries citing papers authored by Howard Aizenstein

Since Specialization

Citations

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

Fields of papers citing papers by Howard Aizenstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Howard Aizenstein

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

Gildengers, Ariel, Xuemei Zeng, Howard Aizenstein, et al.. (2025). The LATTICE Study: Design of a pilot feasibility randomized controlled trial of lithium to delay cognitive decline in mild cognitive impairment. Alzheimer s & Dementia Translational Research & Clinical Interventions. 11(2). e70112–e70112.

Saeed, Anum, Yue-Fang Chang, Justin Swanson, et al.. (2025). Association of mid-life cardiovascular risk with biomarkers of Alzheimer's disease, neurodegeneration, and white matter hyperintensities: Heart SCORE brain study. Journal of Alzheimer s Disease Reports. 9. 4123415905–4123415905. 2 indexed citations

Gogola, Alexandra, Xuemei Zeng, Anum Saeed, et al.. (2025). Impact of racialization on neuroimaging and plasma biomarkers of Alzheimer's disease. Alzheimer s & Dementia. 21(7). e70463–e70463.

Andreescu, Carmen, Eldin Jašarević, Chang Hyung Hong, et al.. (2024). Gut microbiome predicts cognitive function and depressive symptoms in late life. Molecular Psychiatry. 29(10). 3064–3075. 19 indexed citations

Chen, Chang‐Le, Davneet Minhas, Victor L. Villemagne, et al.. (2024). Markers of Interstitial Fluid Dynamics from Diffusion MRI Reveal Association with Amyloid Deposition in Cognitively Normal Older Adults. Alzheimer s & Dementia. 20(S9).

Gogola, Alexandra, Brian J. Lopresti, Dana Tudorascu, et al.. (2023). Biostatistical Estimation of Tau Threshold Hallmarks (BETTH) Algorithm for Human Tau PET Imaging Studies. Journal of Nuclear Medicine. 64(11). 1798–1805. 8 indexed citations

Lee, Dong Yun, Carmen Andreescu, Howard Aizenstein, et al.. (2023). Impact of symptomatic menopausal transition on the occurrence of depression, anxiety, and sleep disorders: A real-world multi-site study. European Psychiatry. 66(1). e80–e80. 8 indexed citations

Thurston, Rebecca C., Pauline M. Maki, Yue‐Fang Chang, et al.. (2023). Menopausal vasomotor symptoms and plasma Alzheimer disease biomarkers. American Journal of Obstetrics and Gynecology. 230(3). 342.e1–342.e8. 19 indexed citations

Thurston, Rebecca C., Karen Jakubowski, Yue‐Fang Chang, et al.. (2023). Posttraumatic Stress Disorder Symptoms and Cardiovascular and Brain Health in Women. JAMA Network Open. 6(11). e2341388–e2341388. 8 indexed citations

10.

Santini, Tales, Miloš D. Ikonomović, Julia Kofler, et al.. (2023). Addressing ultra highfield MRI challenges in ex-vivo. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

11.

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

12.

Tudorascu, Dana, Stewart Anderson, Davneet Minhas, et al.. (2018). Comparison of longitudinal Aβ in nondemented elderly and Down syndrome. Neurobiology of Aging. 73. 171–176. 12 indexed citations

13.

Yan, Qi, Kwangsik Nho, Jorge L. Del‐Aguila, et al.. (2018). Genome-wide association study of brain amyloid deposition as measured by Pittsburgh Compound-B (PiB)-PET imaging. Digital Commons@Becker (Washington University School of Medicine). 1 indexed citations

14.

Desmidt, Thomas, Bruno Brizard, Jean-Pierre Réméniéras, et al.. (2017). Brain Tissue Pulsatility is Increased in Midlife Depression: a Comparative Study Using Ultrasound Tissue Pulsatility Imaging. Neuropsychopharmacology. 42(13). 2575–2582. 25 indexed citations

15.

Shaaban, C. Elizabeth, Howard Aizenstein, Dana Jorgensen, et al.. (2017). In Vivo Imaging of Venous Side Cerebral Small-Vessel Disease in Older Adults: An MRI Method at 7T. American Journal of Neuroradiology. 38(10). 1923–1928. 38 indexed citations

16.

Nunley, Karen A., Christopher M. Ryan, Judith Saxton, et al.. (2015). Early Development of Proliferative Retinopathy Increases Risk of Cognitive Dysfunction in Middle-Aged Adults with Type 1 Diabetes (P5.032). Neurology. 84(14_supplement). 2 indexed citations

17.

Rosso, Andrea, Stephanie A. Studenski, Wen Chen, et al.. (2013). Aging, the Central Nervous System, and Mobility. The Journals of Gerontology Series A. 68(11). 1379–1386. 208 indexed citations

18.

Tadić, Staša, et al.. (2010). Structural damage of brain’s white matter affects brain-bladder control in older women with urgency incontinence. Neurourology and Urodynamics. 2 indexed citations

19.

Reiman, Eric M., Kewei Chen, Xiaofen Liu, et al.. (2009). Fibrillar amyloid-β burden in cognitively normal people at 3 levels of genetic risk for Alzheimer's disease. Proceedings of the National Academy of Sciences. 106(16). 6820–6825. 618 indexed citations breakdown →

20.

Brun, Caroline, Natasha Leporé, Xavier Pennec, et al.. (2007). Comparison of Standard and Riemannian Fluid Registration for Tensor-Based Morphometry in HIV/AIDS. HAL (Le Centre pour la Communication Scientifique Directe). 10 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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