Helen Lavretsky

15.1k total citations · 5 hit papers
216 papers, 9.9k citations indexed

About

Helen Lavretsky is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Clinical Psychology. According to data from OpenAlex, Helen Lavretsky has authored 216 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Psychiatry and Mental health, 43 papers in Cognitive Neuroscience and 41 papers in Clinical Psychology. Recurrent topics in Helen Lavretsky's work include Dementia and Cognitive Impairment Research (55 papers), Functional Brain Connectivity Studies (38 papers) and Treatment of Major Depression (36 papers). Helen Lavretsky is often cited by papers focused on Dementia and Cognitive Impairment Research (55 papers), Functional Brain Connectivity Studies (38 papers) and Treatment of Major Depression (36 papers). Helen Lavretsky collaborates with scholars based in United States, Australia and Canada. Helen Lavretsky's co-authors include Prabha Siddarth, Linda M. Ercoli, Michael R. Irwin, Terrie Black, Wayne D. Rosamond, Cheryl A.M. Anderson, LaPrincess C. Brewer, Amanda M. Perak, Donald M. Lloyd‐Jones and Garima Sharma and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Helen Lavretsky

204 papers receiving 9.6k citations

Hit Papers

Life’s Esse... 2000 2026 2008 2017 2022 2000 2006 2021 2022 400 800 1.2k

Peers

Helen Lavretsky
Hannie C. Comijs Netherlands
Martin Preisig Switzerland
Kousik Krishnan United States
Eric J. Lenze United States
Meryl A. Butters United States
Matthew F. Muldoon United States
Lawrence J. Whalley United Kingdom
Steven P. Roose United States
Helen Lavretsky
Citations per year, relative to Helen Lavretsky Helen Lavretsky (= 1×) peers Richard C. Oude Voshaar

Countries citing papers authored by Helen Lavretsky

Since Specialization
Citations

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

Fields of papers citing papers by Helen Lavretsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helen Lavretsky

This figure shows the co-authorship network connecting the top 25 collaborators of Helen Lavretsky. A scholar is included among the top collaborators of Helen Lavretsky 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 Helen Lavretsky. Helen Lavretsky 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.
Krause, Beatrix, Sergio Becerra, Prabha Siddarth, et al.. (2025). Your brain on art, nature, and meditation: a pilot neuroimaging study. Frontiers in Human Neuroscience. 18. 1440177–1440177.
3.
Lenze, Eric J., Steven P. Roose, Patrick J. Brown, et al.. (2024). Alcohol and substance use in older adults with treatment‐resistant depression. International Journal of Geriatric Psychiatry. 39(6). e6105–e6105. 2 indexed citations
4.
Gebara, Marie Anne, Eric J. Lenze, Daniel M. Blumberger, et al.. (2024). Poor Sleep is Common in Treatment-Resistant Late-life Depression and Associated With Poorer Antidepressant Response: Findings From the OPTIMUM Clinical Trial. American Journal of Geriatric Psychiatry. 33(1). 63–72. 1 indexed citations
5.
Grzenda, Adrienne, et al.. (2024). Cognitive and immunological effects of yoga compared to memory training in older women at risk for alzheimer’s disease. Translational Psychiatry. 14(1). 96–96. 13 indexed citations
6.
Siddarth, Prabha, et al.. (2024). Structural MRI correlates of cognitive and neuropsychiatric symptoms in Long COVID: a pilot study. Frontiers in Psychiatry. 15. 1412020–1412020. 1 indexed citations
7.
8.
Oughli, Hanadi Ajam, Helen Lavretsky, Daniel M. Blumberger, et al.. (2024). The Cognitive Profile of Older Adults With Treatment-Resistant Depression: An Analysis of the OPTIMUM Randomized Controlled Trial. American Journal of Geriatric Psychiatry. 33(4). 361–371. 4 indexed citations
9.
Vanderschelden, Benjamin, Marie Anne Gebara, Hanadi Ajam Oughli, et al.. (2023). Change in patient‐centered outcomes of psychological well‐being, sleep, and suicidality following treatment with intravenous ketamine for late‐life treatment‐resistant depression. International Journal of Geriatric Psychiatry. 38(7). e5964–e5964. 5 indexed citations
10.
Nguyen, Sarah & Helen Lavretsky. (2022). Morning caregiver activity and depression. International Psychogeriatrics. 35(7). 331–333. 1 indexed citations
11.
Lloyd‐Jones, Donald M., Hongyan Ning, Darwin R. Labarthe, et al.. (2022). Status of Cardiovascular Health in US Adults and Children Using the American Heart Association’s New “Life’s Essential 8” Metrics: Prevalence Estimates From the National Health and Nutrition Examination Survey (NHANES), 2013 Through 2018. Circulation. 146(11). 822–835. 290 indexed citations breakdown →
12.
Kilpatrick, Lisa A., Beatrix Krause, Prabha Siddarth, Katherine L. Narr, & Helen Lavretsky. (2022). Default mode network connectivity and treatment response in geriatric depression. Brain and Behavior. 12(4). e2475–e2475. 15 indexed citations
13.
Marshe, Victoria, Farhana Islam, Małgorzata Maciukiewicz, et al.. (2020). Pharmacogenetic Implications for Antidepressant Pharmacotherapy in Late-Life Depression: A Systematic Review of the Literature for Response, Pharmacokinetics and Adverse Drug Reactions. American Journal of Geriatric Psychiatry. 28(6). 609–629. 21 indexed citations
14.
Dyk, Kathleen Van, et al.. (2020). Memantine can protect against inflammation-based cognitive decline in geriatric depression. Brain Behavior & Immunity - Health. 9. 100167–100167. 5 indexed citations
15.
Grzenda, Adrienne, et al.. (2020). Transcriptomic signatures of treatment response to the combination of escitalopram and memantine or placebo in late-life depression. Molecular Psychiatry. 26(9). 5171–5179. 7 indexed citations
16.
Hamm, Megan, Patrick J. Brown, Jordan F. Karp, et al.. (2020). Experiences of American Older Adults with Pre-existing Depression During the Beginnings of the COVID-19 Pandemic: A Multicity, Mixed-Methods Study. American Journal of Geriatric Psychiatry. 28(9). 924–932. 100 indexed citations
17.
Siddarth, Prabha, et al.. (2020). Predictors of Cognitive Improvement Following Treatment for Late-Life Depression. Journal of Geriatric Psychiatry and Neurology. 34(2). 162–168. 11 indexed citations
18.
Laird, Kelsey T., Helen Lavretsky, Pauline Wu, Beatrix Krause, & Prabha Siddarth. (2018). Neurocognitive Correlates of Resilience in Late-Life Depression. American Journal of Geriatric Psychiatry. 27(1). 12–17. 11 indexed citations
19.
Chang, Donald D., Harris A. Eyre, Ryan Abbott, et al.. (2018). Pharmacogenetic Guidelines and Decision Support Tools for Depression Treatment: Application to Late-Life. Pharmacogenomics. 19(16). 1269–1284. 12 indexed citations
20.
Ballmaier, Martina, Arthur W. Toga, Rebecca E. Blanton, et al.. (2004). Anterior Cingulate, Gyrus Rectus, and Orbitofrontal Abnormalities in Elderly Depressed Patients: An MRI-Based Parcellation of the Prefrontal Cortex. American Journal of Psychiatry. 161(1). 99–108. 326 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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