Beth E. Snitz

13.8k total citations · 4 hit papers
186 papers, 8.3k citations indexed

About

Beth E. Snitz is a scholar working on Psychiatry and Mental health, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Beth E. Snitz has authored 186 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Psychiatry and Mental health, 64 papers in Physiology and 45 papers in Cognitive Neuroscience. Recurrent topics in Beth E. Snitz's work include Dementia and Cognitive Impairment Research (130 papers), Alzheimer's disease research and treatments (59 papers) and Functional Brain Connectivity Studies (37 papers). Beth E. Snitz is often cited by papers focused on Dementia and Cognitive Impairment Research (130 papers), Alzheimer's disease research and treatments (59 papers) and Functional Brain Connectivity Studies (37 papers). Beth E. Snitz collaborates with scholars based in United States, Taiwan and Australia. Beth E. Snitz's co-authors include Mary Ganguli, David H. Zald, William E. Klunk, William M. Grove, C. Nelson, Chester A. Mathis, Howard Aizenstein, Ann D. Cohen, Oscar L. López and Judith Saxton and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Beth E. Snitz

173 papers receiving 8.0k citations

Hit Papers

align trajectories

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.

Clinical versus mechanical prediction: A meta-analysis.

2000 1.1k citations Beth E. Snitz et al. profile →
Frequent Amyloid Deposition Without Significant Cognitive Impairment Among the Elderly

2008 799 citations Howard Aizenstein, Judith Saxton et al. profile →
Cognitive Deficits in Unaffected First-Degree Relatives of Schizophrenia Patients: A Meta-analytic Review of Putative Endophenotypes

2005 534 citations Beth E. Snitz profile →
Implementation of subjective cognitive decline criteria in research studies

2016 375 citations Andrew J. Saykin, Beth E. Snitz et al. Alzheimer s & Dementia profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Beth E. Snitz United States	45	4.4k	2.5k	2.0k	934	879	186	8.3k
Nicola T. Lautenschlager Australia	52	4.7k 1.1×	3.2k 1.3×	1.3k 0.7×	957 1.0×	882 1.0×	279	10.5k
David Loewenstein United States	55	6.2k 1.4×	2.7k 1.1×	3.0k 1.5×	801 0.9×	1.2k 1.3×	315	11.1k
Nicolas Cherbuin Australia	51	2.9k 0.7×	2.4k 1.0×	1.7k 0.9×	1.0k 1.1×	658 0.7×	241	9.3k
Martin P.J. van Boxtel Netherlands	64	4.6k 1.0×	2.1k 0.8×	3.1k 1.6×	1.0k 1.1×	1.1k 1.2×	261	13.8k
Hiroko H. Dodge United States	56	4.6k 1.0×	2.3k 0.9×	1.1k 0.6×	491 0.5×	943 1.1×	262	10.0k
Laura E. Gibbons United States	62	4.9k 1.1×	1.7k 0.7×	1.5k 0.8×	1.3k 1.4×	505 0.6×	195	14.1k
Ricardo Nitríni Brazil	51	5.3k 1.2×	2.8k 1.1×	2.3k 1.2×	606 0.6×	1.3k 1.5×	462	11.9k
Julian N. Trollor Australia	56	4.2k 0.9×	1.5k 0.6×	3.1k 1.6×	2.3k 2.5×	703 0.8×	334	10.8k
Robert S. Wilson United States	50	5.9k 1.3×	3.2k 1.3×	1.9k 0.9×	1.1k 1.2×	926 1.1×	127	13.2k
Prabha Siddarth United States	44	3.7k 0.8×	2.3k 0.9×	1.8k 0.9×	920 1.0×	597 0.7×	186	7.9k

Countries citing papers authored by Beth E. Snitz

Since Specialization

Citations

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

Fields of papers citing papers by Beth E. Snitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beth E. Snitz. 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 Beth E. Snitz. The network helps show where Beth E. Snitz may publish in the future.

Co-authorship network of co-authors of Beth E. Snitz

This figure shows the co-authorship network connecting the top 25 collaborators of Beth E. Snitz. A scholar is included among the top collaborators of Beth E. Snitz 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 Beth E. Snitz. Beth E. Snitz 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

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.

Choi, Seo‐Eun, Shubhabrata Mukherjee, Laura E. Gibbons, et al.. (2025). Beyond NACC's Uniform Data Set for cognition: the impact of additional items on measurement precision. Alzheimer s & Dementia. 21(9). e70694–e70694.

Leffa, Douglas Teixeira, Yingjin Zhang, Yueting Wang, et al.. (2025). Association Between the Genetic Risk for Attention-Deficit/Hyperactivity Disorder and Cognitive Function in Older Age: The MYHAT Population-Based Study. American Journal of Geriatric Psychiatry.

Zeng, Xuemei, Anuradha Sehrawat, William E. Klunk, et al.. (2024). Large‐scale validation of an improved and resource‐saving immunoprecipitation‐mass spectrometry assay for plasma amyloid‐β biomarkers in Alzheimer's disease. Alzheimer s & Dementia. 20(S2). 1 indexed citations

Dresse, Menayit Tamrat, Pâmela C.L. Ferreira, Bruna Bellaver, et al.. (2024). Associations between plasma biomarkers and brain amyloid and tau pathologies in a population‐based cohort without evidence of cognitive impairment. Alzheimer s & Dementia. 20(S2).

Ganguli, Mary, Erin Jacobsen, Ellen Kinnee, et al.. (2024). Social determinants of health and mild cognitive impairment in a diverse community sample. Journal of the American Geriatrics Society. 73(2). 367–378. 1 indexed citations

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

Snitz, Beth E., Mary Ganguli, Steven T. DeKosky, et al.. (2023). Meta‐analysis of age‐related cognitive decline reveals a novel locus for the attention domain and implicates a COVID‐19‐related gene for global cognitive function. Alzheimer s & Dementia. 19(11). 5010–5022. 5 indexed citations

10.

Wang, Yueting, Yingjin Zhang, Erin Jacobsen, et al.. (2023). It goes both ways: The relationship between anxiety and mild cognitive impairment. International Journal of Geriatric Psychiatry. 38(3). e5899–e5899. 12 indexed citations

11.

Goss, Monica, Valentina R. Garbarino, Heather M. Snyder, et al.. (2023). Covid‐19 may have a detrimental impact on sensorimotor function. Alzheimer s & Dementia. 19(S24). 1 indexed citations

12.

Ferguson, Robert J., Hsuan Chang, Beth E. Snitz, et al.. (2022). Self‐reported cognitive impairments and quality of life in patients with gastrointestinal stromal tumor: Results of a multinational survey. Cancer. 128(22). 4017–4026. 3 indexed citations

13.

Fan, Kang-Hsien, Muhammad Aslam, Beth E. Snitz, et al.. (2022). Genome-Wide Association Study of Incident Dementia in a Community-Based Sample of Older Subjects. Journal of Alzheimer s Disease. 88(2). 787–798. 6 indexed citations

14.

Bruña, Ricardo, Fernando Maestú, David López‐Sanz, et al.. (2021). Sex Differences in Magnetoencephalography-Identified Functional Connectivity in the Human Connectome Project Connectomics of Brain Aging and Dementia Cohort. Brain Connectivity. 12(6). 561–570. 3 indexed citations

15.

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

16.

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

17.

Ganguli, Mary, Yichen Jia, Tiffany F. Hughes, et al.. (2018). Mild Cognitive Impairment that Does Not Progress to Dementia: A Population‐Based Study. Journal of the American Geriatrics Society. 67(2). 232–238. 74 indexed citations

18.

Poole, Victoria N., Brad Manor, Ikechukwu Iloputaife, et al.. (2016). NUMBER OF STEPS NEEDED FOR RELIABLE GAIT VARIABILITY MEASUREMENT. The Gerontologist. 56(Suppl_3). 335–336. 10 indexed citations

19.

Fowler, Nicole R., Lisa A. Morrow, Laurel Chiappetta, et al.. (2015). Cognitive testing in older primary care patients: A cluster-randomized trial. PMC. 3 indexed citations

20.

Bhalla, Rishi K., Meryl A. Butters, James T. Becker, et al.. (2009). Patterns of Mild Cognitive Impairment After Treatment of Depression in the Elderly. American Journal of Geriatric Psychiatry. 17(4). 308–316. 87 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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