Emily S. Lundt

1.9k total citations
45 papers, 1.2k citations indexed

About

Emily S. Lundt is a scholar working on Psychiatry and Mental health, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Emily S. Lundt has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Psychiatry and Mental health, 21 papers in Physiology and 12 papers in Cognitive Neuroscience. Recurrent topics in Emily S. Lundt's work include Dementia and Cognitive Impairment Research (35 papers), Alzheimer's disease research and treatments (20 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Emily S. Lundt is often cited by papers focused on Dementia and Cognitive Impairment Research (35 papers), Alzheimer's disease research and treatments (20 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Emily S. Lundt collaborates with scholars based in United States, United Kingdom and Italy. Emily S. Lundt's co-authors include David S. Knopman, Ronald C. Petersen, Clifford R. Jack, Val J. Lowe, Matthew L. Senjem, Kejal Kantarci, Michelle M. Mielke, Bradley F. Boeve, Mary M. Machulda and Jeffrey L. Gunter and has published in prestigious journals such as Nature Communications, NeuroImage and Brain.

In The Last Decade

Emily S. Lundt

44 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emily S. Lundt United States 22 727 560 417 217 167 45 1.2k
Alexandra J. Weigand United States 22 682 0.9× 396 0.7× 318 0.8× 131 0.6× 239 1.4× 65 1.2k
Nikki H. Stricker United States 24 774 1.1× 431 0.8× 534 1.3× 372 1.7× 184 1.1× 58 1.4k
Jeremy Carmasin United States 8 885 1.2× 645 1.2× 467 1.1× 179 0.8× 133 0.8× 14 1.3k
Kristian Steen Frederiksen Denmark 24 636 0.9× 470 0.8× 236 0.6× 157 0.7× 194 1.2× 95 1.5k
Colin Groot Netherlands 21 897 1.2× 681 1.2× 444 1.1× 153 0.7× 176 1.1× 49 1.7k
Michael J Properzi United States 21 931 1.3× 681 1.2× 492 1.2× 144 0.7× 210 1.3× 62 1.5k
Katherine A. Gifford United States 23 634 0.9× 331 0.6× 289 0.7× 216 1.0× 208 1.2× 87 1.4k
Dong Won Yang South Korea 23 845 1.2× 382 0.7× 408 1.0× 288 1.3× 247 1.5× 105 1.6k
H. Wiste United States 10 918 1.3× 836 1.5× 405 1.0× 248 1.1× 244 1.5× 11 1.5k
Judith L. Heidebrink United States 15 809 1.1× 494 0.9× 252 0.6× 142 0.7× 192 1.1× 32 1.3k

Countries citing papers authored by Emily S. Lundt

Since Specialization
Citations

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

Fields of papers citing papers by Emily S. Lundt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily S. Lundt. 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 Emily S. Lundt. The network helps show where Emily S. Lundt may publish in the future.

Co-authorship network of co-authors of Emily S. Lundt

This figure shows the co-authorship network connecting the top 25 collaborators of Emily S. Lundt. A scholar is included among the top collaborators of Emily S. Lundt 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 Emily S. Lundt. Emily S. Lundt 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.
Lundt, Emily S., et al.. (2026). Diffusion MRI based biomarkers reveal a Prolonged Pre-Lesional Phase of Cerebral Small Vessel Disease. bioRxiv (Cold Spring Harbor Laboratory).
2.
Ali, Hassam, Hoon‐Ki Min, Val J. Lowe, et al.. (2024). Impact of alcohol use disorder on cognition in correlation with aging: a community-based retrospective cohort study. Alcohol and Alcoholism. 60(1). 3 indexed citations
3.
Min, Hoon‐Ki, Emily S. Lundt, Sabrina M. Albertson, et al.. (2024). Patterns of Early Neocortical Amyloid-β Accumulation: A PET Population-Based Study. Journal of Nuclear Medicine. 65(7). 1122–1128. 5 indexed citations
4.
Stricker, Nikki H., Teresa J. Christianson, Angelina J. Polsinelli, et al.. (2024). Mayo Normative Studies: Amyloid and Neurodegeneration Negative Normative Data for the Auditory Verbal Learning Test and Sex-Specific Sensitivity to Mild Cognitive Impairment/Dementia. Journal of Alzheimer s Disease. 100(3). 879–897. 2 indexed citations
5.
Cogswell, Petrice M., Emily S. Lundt, Terry M. Therneau, et al.. (2023). Evidence against a temporal association between cerebrovascular disease and Alzheimer’s disease imaging biomarkers. Nature Communications. 14(1). 3097–3097. 13 indexed citations
6.
Cogswell, Petrice M., Emily S. Lundt, Terry M. Therneau, et al.. (2023). Modeling the temporal evolution of plasma p‐tau in relation to amyloid beta and tau PET. Alzheimer s & Dementia. 20(2). 1225–1238. 14 indexed citations
7.
Lee, Jeyeon, Brian J. Burkett, Hoon‐Ki Min, et al.. (2022). Deep learning-based brain age prediction in normal aging and dementia. Nature Aging. 2(5). 412–424. 102 indexed citations
8.
Jack, Clifford R., Terry M. Therneau, Emily S. Lundt, et al.. (2022). Long-term associations between amyloid positron emission tomography, sex, apolipoprotein E and incident dementia and mortality among individuals without dementia: hazard ratios and absolute risk. Brain Communications. 4(2). fcac017–fcac017. 28 indexed citations
9.
Knopman, David S., Emily S. Lundt, Terry M. Therneau, et al.. (2020). Association of Initial β-Amyloid Levels With Subsequent Flortaucipir Positron Emission Tomography Changes in Persons Without Cognitive Impairment. JAMA Neurology. 78(2). 217–217. 38 indexed citations
10.
Stricker, Nikki H., Teresa J. Christianson, Emily S. Lundt, et al.. (2020). Mayo Normative Studies: Regression-Based Normative Data for the Auditory Verbal Learning Test for Ages 30–91 Years and the Importance of Adjusting for Sex. Journal of the International Neuropsychological Society. 27(3). 211–226. 41 indexed citations
11.
Stricker, Nikki H., Emily S. Lundt, Eva Alden, et al.. (2020). Longitudinal Comparison of in Clinic and at Home Administration of the Cogstate Brief Battery and Demonstrated Practice Effects in the Mayo Clinic Study of Aging. The Journal of Prevention of Alzheimer s Disease. 7(1). 21–28. 25 indexed citations
12.
Lundt, Emily S., Sabrina M. Albertson, Eva Alden, et al.. (2020). A comparison of methods of defining objective cognitive impairment in preclinical Alzheimer’s disease based on Cogstate One Card Learning accuracy performance. Alzheimer s & Dementia. 16(S6). 1 indexed citations
13.
Knopman, David S., Emily S. Lundt, Terry M. Therneau, et al.. (2019). Entorhinal cortex tau, amyloid-β, cortical thickness and memory performance in non-demented subjects. Brain. 142(4). 1148–1160. 73 indexed citations
14.
Stricker, Nikki H., Emily S. Lundt, Teresa J. Christianson, et al.. (2019). Normative Data that Does Not Exclude Participants with Mild Cognitive Impairment Results in Lower Than Expected Memory Impairment Rates, Particularly in Females. Archives of Clinical Neuropsychology. 34(6). 848–848. 1 indexed citations
15.
Lowe, Val J., Emily S. Lundt, Sabrina M. Albertson, et al.. (2019). Neuroimaging correlates with neuropathologic schemes in neurodegenerative disease. Alzheimer s & Dementia. 15(7). 927–939. 55 indexed citations
16.
Lowe, Val J., Emily S. Lundt, David S. Knopman, et al.. (2017). Comparison of [18F]Flutemetamol and [11C]Pittsburgh Compound-B in cognitively normal young, cognitively normal elderly, and Alzheimer's disease dementia individuals. NeuroImage Clinical. 16. 295–302. 31 indexed citations
17.
Barnes, Jill N., Ronée E. Harvey, Samantha M. Zuk, et al.. (2017). Aortic hemodynamics and white matter hyperintensities in normotensive postmenopausal women. Journal of Neurology. 264(5). 938–945. 23 indexed citations
18.
Knopman, David S., Clifford R. Jack, Emily S. Lundt, et al.. (2016). Evolution of neurodegeneration-imaging biomarkers from clinically normal to dementia in the Alzheimer disease spectrum. Neurobiology of Aging. 46. 32–42. 19 indexed citations
19.
Sarro, Lidia, Matthew L. Senjem, Emily S. Lundt, et al.. (2016). Amyloid-β deposition and regional grey matter atrophy rates in dementia with Lewy bodies. Brain. 139(10). 2740–2750. 61 indexed citations
20.
Knopman, David S., Clifford R. Jack, Heather J. Wiste, et al.. (2014). 18F-fluorodeoxyglucose positron emission tomography, aging, and apolipoprotein E genotype in cognitively normal persons. Neurobiology of Aging. 35(9). 2096–2106. 98 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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