Sarah Keefe

2.3k total citations
24 papers, 171 citations indexed

About

Sarah Keefe is a scholar working on Psychiatry and Mental health, Physiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sarah Keefe has authored 24 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Psychiatry and Mental health, 10 papers in Physiology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sarah Keefe's work include Dementia and Cognitive Impairment Research (16 papers), Alzheimer's disease research and treatments (10 papers) and Functional Brain Connectivity Studies (6 papers). Sarah Keefe is often cited by papers focused on Dementia and Cognitive Impairment Research (16 papers), Alzheimer's disease research and treatments (10 papers) and Functional Brain Connectivity Studies (6 papers). Sarah Keefe collaborates with scholars based in United States, United Kingdom and Ireland. Sarah Keefe's co-authors include Tammie L.S. Benzinger, John C. Morris, Pamela LaMontagne, Nira Hadar, Ethan M. Balk, Christopher G. Parkin, Joseph Lau, Stanley Ip, Brian A. Gordon and Krista L. Moulder and has published in prestigious journals such as Annals of Neurology, Science Translational Medicine and Journal of the Neurological Sciences.

In The Last Decade

Sarah Keefe

21 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Keefe United States 6 45 44 39 32 27 24 171
Scott Neu United States 7 29 0.6× 27 0.6× 13 0.3× 33 1.0× 11 0.4× 15 139
Franklin Feingold United States 6 41 0.9× 25 0.6× 27 0.7× 19 0.6× 25 0.9× 6 125
Joshua Lukemire United States 8 32 0.7× 18 0.4× 12 0.3× 78 2.4× 17 0.6× 13 190
Paul Hager Germany 6 85 1.9× 46 1.0× 68 1.7× 40 1.3× 31 1.1× 9 345
Razvan Marinescu United Kingdom 7 37 0.8× 84 1.9× 39 1.0× 49 1.5× 16 0.6× 18 197
Gilsoon Park South Korea 7 30 0.7× 45 1.0× 37 0.9× 30 0.9× 33 1.2× 16 147
Johann Faouzi France 9 48 1.1× 54 1.2× 37 0.9× 55 1.7× 43 1.6× 14 257
David Weidman United States 5 28 0.6× 46 1.0× 30 0.8× 19 0.6× 26 1.0× 7 146
Laura Trotta Belgium 10 29 0.6× 47 1.1× 65 1.7× 108 3.4× 78 2.9× 18 291
Manon Ansart France 6 27 0.6× 75 1.7× 47 1.2× 48 1.5× 37 1.4× 10 196

Countries citing papers authored by Sarah Keefe

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Keefe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Keefe

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Keefe. A scholar is included among the top collaborators of Sarah Keefe 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 Sarah Keefe. Sarah Keefe 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.
Scott, Jalen, Diana A. Hobbs, Sarah Keefe, et al.. (2025). Comparing Off‐Target Meningeal and Skull Signal in Head‐to‐Head MK‐6240 and AV‐1451 Tau PET. Alzheimer s & Dementia. 21(S2). e101657–e101657. 1 indexed citations
2.
Chen, Gengsheng, Nicole S. McKay, Brian A. Gordon, et al.. (2025). Baseline and longitudinal changes in cortical thickness and hippocampal volume predict cognitive decline. Journal of Alzheimer s Disease. 106(4). 1452–1462.
3.
Brier, Matthew R., Suzanne E. Schindler, Amber Salter, et al.. (2024). Unexpected Low Rate of Amyloid‐β Pathology in Multiple Sclerosis Patients. Annals of Neurology. 96(3). 453–459. 5 indexed citations
4.
McCullough, Austin, Brian A. Gordon, Charles D. Chen, et al.. (2023). Evaluating Regional Importance for Tau Spatial Spread in Predicting Cognitive Impairment with Machine Learning. Alzheimer s & Dementia. 19(S24). 1 indexed citations
5.
Chen, Gengsheng, Brian A. Gordon, Qīng Wáng, et al.. (2023). Baseline and Longitudinal Changes in Lateral Ventricle Volume Predict Cognitive Decline. Alzheimer s & Dementia. 19(S14). 1 indexed citations
6.
Rahmani, Farzaneh, Cyrus A. Raji, Wei Wang, et al.. (2023). Validity Assessment of an Automated Brain Morphometry Tool for Patients with De Novo Memory Symptoms. American Journal of Neuroradiology. 44(3). 261–267. 5 indexed citations
7.
Keefe, Sarah, Nicole S. McKay, Pamela LaMontagne, et al.. (2023). Containerizing neuroimaging workflows for scalable and reproducible analyses. Alzheimer s & Dementia. 19(S10). 1 indexed citations
8.
Wisch, Julie K., Ganesh M. Babulal, Kalen J. Petersen, et al.. (2023). A practitioner's guide to geospatial analysis in a neuroimaging context. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 15(1). e12413–e12413. 2 indexed citations
9.
Babulal, Ganesh M., Ling Chen, David B. Carr, et al.. (2023). Cortical atrophy and leukoaraiosis, imaging markers of cerebrovascular small vessel disease, are associated with driving behavior changes among cognitively normal older adults. Journal of the Neurological Sciences. 448. 120616–120616. 2 indexed citations
10.
Chen, Gengsheng, Brian A. Gordon, Qīng Wáng, et al.. (2023). Baseline and Longitudinal Changes in Lateral Ventricle Volume Predict Cognitive Decline. Alzheimer s & Dementia. 19(S10). 1 indexed citations
11.
Chen, Gengsheng, Nicole S. McKay, Brian A. Gordon, et al.. (2023). Predicting cognitive decline: Which is more useful, baseline amyloid levels or longitudinal change?. NeuroImage Clinical. 41. 103551–103551. 3 indexed citations
12.
Dincer, Aylin, Charles D. Chen, Nicole S. McKay, et al.. (2022). APOE ε4 genotype, amyloid-β, and sex interact to predict tau in regions of high APOE mRNA expression. Science Translational Medicine. 14(671). eabl7646–eabl7646. 15 indexed citations
13.
Flores, Shaney, Charles D. Chen, Yi Su, et al.. (2022). Investigating Tau and Amyloid Tracer Skull Binding in Studies of Alzheimer Disease. Journal of Nuclear Medicine. 64(2). 287–293. 12 indexed citations
14.
McKay, Nicole S., Diana A. Hobbs, Sarah Keefe, et al.. (2022). Differential impact of APOE genetic variants on autosomal dominant‐ and sporadic‐ Alzheimer disease. Alzheimer s & Dementia. 18(S6). 1 indexed citations
15.
Flores, Shaney, Charles D. Chen, Yi Su, et al.. (2022). Characteristics and quantitative impact of off‐target skull binding in tau PET studies of Alzheimer disease. Alzheimer s & Dementia. 18(S5). 1 indexed citations
16.
Day, Gregory S., Amber Salter, Sarah Keefe, et al.. (2020). Select Atrophied Regions in Alzheimer disease (SARA): An improved volumetric model for identifying Alzheimer disease dementia. NeuroImage Clinical. 26. 102248–102248. 31 indexed citations
17.
McCullough, Austin, Brian A. Gordon, Jon Christensen, et al.. (2018). P3‐401: EXAMINING THE ABILITY OF A TAU SPATIAL SPREAD METRIC TO INDICATE DISEASE PROGRESSION COMPARED TO AN INTENSITY‐BASED APPROACH. Alzheimer s & Dementia. 14(7S_Part_23). 1 indexed citations
18.
LaMontagne, Pamela, Sarah Keefe, Chengjie Xiong, et al.. (2018). IC‐P‐164: OASIS‐3: LONGITUDINAL NEUROIMAGING, CLINICAL, AND COGNITIVE DATASET FOR NORMAL AGING AND ALZHEIMER'S DISEASE. Alzheimer s & Dementia. 14(7S_Part_2). 11 indexed citations
19.
Gordon, Brian A., Tyler Blazey, Jon Christensen, et al.. (2018). IC‐P‐204: THE RELATIONSHIP BETWEEN TAU PET AND OTHER AD BIOMARKERS IN AUTOSOMAL DOMINANT ALZHEIMER DISEASE. Alzheimer s & Dementia. 14(7S_Part_3).
20.
Ip, Stanley, Nira Hadar, Sarah Keefe, et al.. (2012). A Web-based archive of systematic review data. Systematic Reviews. 1(1). 15–15. 47 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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