William Jagust

8.1k total citations
65 papers, 4.9k citations indexed

About

William Jagust is a scholar working on Psychiatry and Mental health, Physiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, William Jagust has authored 65 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Psychiatry and Mental health, 37 papers in Physiology and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in William Jagust's work include Dementia and Cognitive Impairment Research (46 papers), Alzheimer's disease research and treatments (36 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). William Jagust is often cited by papers focused on Dementia and Cognitive Impairment Research (46 papers), Alzheimer's disease research and treatments (36 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). William Jagust collaborates with scholars based in United States, United Kingdom and Sweden. William Jagust's co-authors include Michael W. Weiner, Bruce Reed, Leslie M. Shaw, John Q. Trojanowski, Jamie L. Eberling, Mary N. Haan, Dan Mungas, Clifford R. Jack, Claudia H. Kawas and Lewis H. Kuller and has published in prestigious journals such as NeuroImage, Brain and American Journal of Clinical Nutrition.

In The Last Decade

William Jagust

63 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Jagust United States 36 2.6k 2.1k 895 797 637 65 4.9k
Ronald Petersen United States 31 3.1k 1.2× 2.9k 1.4× 1.6k 1.8× 1.0k 1.3× 957 1.5× 67 6.4k
Merja Hallikainen Finland 38 3.3k 1.3× 2.7k 1.3× 1.5k 1.7× 1.0k 1.3× 816 1.3× 79 6.2k
Päivi Hartikainen Finland 32 1.9k 0.7× 2.0k 0.9× 995 1.1× 705 0.9× 489 0.8× 105 4.2k
Claudia Jacova Canada 23 3.0k 1.2× 2.1k 1.0× 1.2k 1.3× 858 1.1× 432 0.7× 73 5.1k
Steven D. Edland United States 50 3.6k 1.4× 3.0k 1.4× 988 1.1× 860 1.1× 404 0.6× 156 7.5k
E.-L. Helkala Finland 31 2.2k 0.8× 1.9k 0.9× 1.0k 1.2× 726 0.9× 326 0.5× 47 4.6k
Eeva‐Liisa Helkala Finland 27 2.4k 0.9× 2.3k 1.1× 864 1.0× 737 0.9× 246 0.4× 43 5.4k
Charles DeCarli United States 29 2.3k 0.9× 1.2k 0.6× 902 1.0× 1.5k 1.8× 816 1.3× 68 6.0k
Eric McDade United States 31 2.0k 0.8× 1.8k 0.8× 978 1.1× 517 0.6× 480 0.8× 97 4.5k
Bengt Winblad Sweden 15 2.9k 1.1× 1.8k 0.8× 1.4k 1.5× 721 0.9× 460 0.7× 22 4.9k

Countries citing papers authored by William Jagust

Since Specialization
Citations

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

Fields of papers citing papers by William Jagust

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Jagust

This figure shows the co-authorship network connecting the top 25 collaborators of William Jagust. A scholar is included among the top collaborators of William Jagust 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 William Jagust. William Jagust 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.
Pezzoli, Stefania, Joseph Giorgio, Xi Chen, et al.. (2025). Cognitive aging outcomes are related to both tau pathology and maintenance of cingulate cortex structure. Alzheimer s & Dementia. 21(2). e14515–e14515. 2 indexed citations
2.
Cody, Karly Alex, Andrzej Sokołowski, Luca Guerra, et al.. (2025). Comparison of amyloid PET acquired through standardized and unstandardized protocols. Alzheimer s & Dementia. 21(9). e70697–e70697. 1 indexed citations
3.
4.
Korecka, Magdalena, Michal Figurski, Susan Landau, et al.. (2020). Analytical and Clinical Performance of Amyloid-Beta Peptides Measurements in CSF of ADNIGO/2 Participants by an LC–MS/MS Reference Method. Clinical Chemistry. 66(4). 587–597. 13 indexed citations
5.
6.
Mattsson, Niklas, Philip S. Insel, Susan Landau, et al.. (2014). Diagnostic accuracy of CSF Ab42 and florbetapir PET for Alzheimer's disease. Annals of Clinical and Translational Neurology. 1(8). 534–543. 85 indexed citations
7.
Toledo, Jon B., Michael W. Weiner, David A. Wolk, et al.. (2014). Neuronal injury biomarkers and prognosis in ADNI subjects with normal cognition. Acta Neuropathologica Communications. 2(1). 26–26. 63 indexed citations
8.
Lehmann, Manja, P. Ghosh, Anna Karydas, et al.. (2013). Greater medial temporal hypometabolism and lower cortical amyloid burden in ApoE4-positive AD patients. Journal of Neurology Neurosurgery & Psychiatry. 85(3). 266–273. 47 indexed citations
9.
Toledo, Jon B., Estefanía Toledo, Michael W. Weiner, et al.. (2012). Cardiovascular risk factors, cortisol, and amyloid‐β deposition in Alzheimer's Disease Neuroimaging Initiative. Alzheimer s & Dementia. 8(6). 483–489. 106 indexed citations
10.
Haight, Thaddeus & William Jagust. (2012). Relative contributions of biomarkers in Alzheimer’s disease. Annals of Epidemiology. 22(12). 868–875. 7 indexed citations
11.
Wu, Xia, Kewei Chen, Li Yao, et al.. (2010). Assessing the reliability to detect cerebral hypometabolism in probable Alzheimer's disease and amnestic mild cognitive impairment. Journal of Neuroscience Methods. 192(2). 277–285. 13 indexed citations
12.
13.
Maltz, Jonathan S., Jamie L. Eberling, William Jagust, & Thomas F. Budinger. (2003). Enhanced cutaneous vascular response in AD subjects under donepezil therapy. Neurobiology of Aging. 25(4). 475–481. 8 indexed citations
14.
López, Oscar L., William Jagust, Steven T. DeKosky, et al.. (2003). Prevalence and Classification of Mild Cognitive Impairment in the Cardiovascular Health Study Cognition Study. Archives of Neurology. 60(10). 1385–1385. 478 indexed citations
15.
Aisen, Paul, Susan Egelko, Howard Andrews, et al.. (2003). A Pilot Study of Vitamins to Lower Plasma Homocysteine Levels in Alzheimer Disease. American Journal of Geriatric Psychiatry. 11(2). 246–249. 53 indexed citations
16.
Miller, Joshua W., et al.. (2002). Homocysteine, vitamin B 6 , and vascular disease in AD patients. Neurology. 58(10). 1471–1475. 134 indexed citations
17.
Du, Antao, Norbert Schuff, Diane Amend, et al.. (2000). Entorhinal cortex and hippocampus in Alzheimer's disease, subcortical ischemic vascular dementia and mixed dementia. Neurobiology of Aging. 21. 198–198. 4 indexed citations
18.
Tanabe, Jody, Frank Ezekiel, William Jagust, et al.. (1999). Magnetization transfer ratio of white matter hyperintensities in subcortical ischemic vascular dementia.. PubMed Central. 20(5). 839–44. 46 indexed citations
19.
Eberling, Jamie L., Brian C. Richardson, Bruce Reed, N. Wolfe, & William Jagust. (1994). Cortical glucose metabolism in Parkinson's disease without dementia. Neurobiology of Aging. 15(3). 329–335. 88 indexed citations
20.
Eberling, Jamie L., B. R. Reed, Michael G. Baker, & William Jagust. (1993). Cognitive Correlates of Regional Cerebral Blood Flow in Alzheimer's Disease. Archives of Neurology. 50(7). 761–766. 31 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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