David A. Bennett

2.6k total citations
63 papers, 1.7k citations indexed

About

David A. Bennett is a scholar working on Molecular Biology, Physiology and Psychiatry and Mental health. According to data from OpenAlex, David A. Bennett has authored 63 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Physiology and 8 papers in Psychiatry and Mental health. Recurrent topics in David A. Bennett's work include Alzheimer's disease research and treatments (8 papers), Dementia and Cognitive Impairment Research (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). David A. Bennett is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Dementia and Cognitive Impairment Research (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). David A. Bennett collaborates with scholars based in United States, Australia and Germany. David A. Bennett's co-authors include Julie A. Schneider, Marc P. Armstrong, Ningchuan Xiao, Sue E. Leurgans, Konstantinos Arfanakis, Stephen C. Cunnane, Jennifer Tremblay‐Mercier, Mélanie Fortier, Christy Tangney and Martha Clare Morris and has published in prestigious journals such as Nature Medicine, Journal of Neuroscience and NeuroImage.

In The Last Decade

David A. Bennett

60 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Bennett United States 21 402 397 247 181 180 63 1.7k
Gill Forster United Kingdom 9 376 0.9× 223 0.6× 343 1.4× 190 1.0× 57 0.3× 9 1.2k
Yu Guo China 19 245 0.6× 448 1.1× 127 0.5× 117 0.6× 57 0.3× 67 1.6k
Marta Crous‐Bou Spain 26 717 1.8× 582 1.5× 153 0.6× 61 0.3× 95 0.5× 69 2.8k
Wei Han China 32 285 0.7× 1.3k 3.2× 109 0.4× 150 0.8× 119 0.7× 177 3.1k
Ting Shen China 27 163 0.4× 495 1.2× 182 0.7× 136 0.8× 331 1.8× 137 2.3k
Lai Qian China 20 208 0.5× 340 0.9× 419 1.7× 95 0.5× 169 0.9× 42 1.2k
Kengo Maeda Japan 27 624 1.6× 835 2.1× 132 0.5× 293 1.6× 119 0.7× 128 2.6k
Shengdi Chen China 27 504 1.3× 705 1.8× 326 1.3× 552 3.0× 71 0.4× 80 2.0k
José Antonio Molina Spain 21 422 1.0× 355 0.9× 177 0.7× 413 2.3× 45 0.3× 38 1.7k
Xiaotong Wang China 27 224 0.6× 843 2.1× 164 0.7× 182 1.0× 72 0.4× 173 2.5k

Countries citing papers authored by David A. Bennett

Since Specialization
Citations

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

Fields of papers citing papers by David A. Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Bennett. 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 David A. Bennett. The network helps show where David A. Bennett may publish in the future.

Co-authorship network of co-authors of David A. Bennett

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Bennett. A scholar is included among the top collaborators of David A. Bennett 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 David A. Bennett. David A. Bennett 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.
Fleischman, Debra, Konstantinos Arfanakis, Sue E. Leurgans, et al.. (2025). ARTS is associated with vascular risk factors, MCI, dementia, and stroke. Alzheimer s & Dementia. 21(7). e70430–e70430. 1 indexed citations
2.
Petyuk, Vladislav, et al.. (2025). Alzheimer's disease-related cortical proteins modify the association of brain insulin signaling with cognitive decline. Journal of Alzheimer s Disease. 104(3). 667–677.
3.
4.
Oveisgharan, Shahram, Tianhao Wang, Jeffrey M. Hausdorff, David A. Bennett, & Aron S. Buchman. (2024). Motor and Nonmotor Measures and Declining Daily Physical Activity in Older Adults. JAMA Network Open. 7(9). e2432033–e2432033. 2 indexed citations
5.
Fleischman, Debra, Konstantinos Arfanakis, Sue E. Leurgans, et al.. (2024). Cerebral arteriolosclerosis, lacunar infarcts, and cognition in older Black adults. Alzheimer s & Dementia. 20(8). 5375–5384. 7 indexed citations
6.
Schneider, Julie A., et al.. (2024). In vivo effect of LATE‐NC on integrity of white matter connections to the hippocampus. Alzheimer s & Dementia. 20(7). 4401–4410. 2 indexed citations
7.
Buchman, Aron S., Shinya Tasaki, David A. Bennett, et al.. (2024). Omnibus proteome-wide association study identifies 43 risk genes for Alzheimer disease dementia. The American Journal of Human Genetics. 111(9). 1848–1863. 2 indexed citations
8.
Fujita, Masashi, Rajesh K. Soni, David A. Bennett, et al.. (2024). An integrated toolkit for human microglia functional genomics. Stem Cell Research & Therapy. 15(1). 104–104. 3 indexed citations
9.
Agrawal, Sonal, Sue E. Leurgans, Lisa L. Barnes, et al.. (2024). Chronic traumatic encephalopathy and aging-related tau astrogliopathy in community-dwelling older persons with and without moderate-to-severe traumatic brain injury. Journal of Neuropathology & Experimental Neurology. 83(3). 181–193. 4 indexed citations
10.
Lamar, Melissa, Konstantinos Arfanakis, Alifiya Kapasi, et al.. (2024). Associations between structural neuroimaging markers of Alzheimer’s risk and scam susceptibility. Brain Imaging and Behavior. 18(6). 1491–1498.
11.
12.
Fulcher, James, Aman Makaju, Ronald Moore, et al.. (2021). Enhancing Top-Down Proteomics of Brain Tissue with FAIMS. Journal of Proteome Research. 20(5). 2780–2795. 48 indexed citations
13.
14.
Sviderskaya, Elena V., et al.. (2014). STX13 controls the melanosome biogenesis through its regulated endosomal fusion events.. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 1 indexed citations
15.
Weuve, Jennifer, Carlos F. Mendes de Leon, David A. Bennett, XinQi Dong, & Denis A. Evans. (2013). The Red Cell Distribution Width and Anemia in Association With Prevalent Dementia. Alzheimer Disease & Associated Disorders. 28(2). 99–105. 39 indexed citations
16.
Muste, Marian, David A. Bennett, Silvia Secchi, et al.. (2012). End-to-End Cyberinfrastructure for Decision-Making Support in Watershed Management. Journal of Water Resources Planning and Management. 139(5). 565–573. 25 indexed citations
17.
Lopez, Mary F., Alvydas Mikulskis, Eva Golenko, et al.. (2004). Microscale fractionation facilitates detection of differentially expressed proteins in Alzheimer's disease brain samples. Electrophoresis. 25(15). 2557–2563. 5 indexed citations
18.
Weinberger, Myron H., Henry R. Black, Kenneth C. Lasseter, et al.. (1990). Diurnal blood pressure in patients with mild-to-moderate hypertension treated with once-daily benazepril hydrochloride. Clinical Pharmacology & Therapeutics. 47(5). 608–617. 17 indexed citations
19.
Armstrong, Marc P., Paul J. Densham, & David A. Bennett. (1989). Object Oriented Locational Analysis. Iowa Research Online (The University of Iowa). 9 indexed citations
20.
Bennett, David A. & Jacob H. Fox. (1989). Paroxysmal Dyskinesias Secondary to Cerebral Vascular Disease—Reversal with Aspirin. Clinical Neuropharmacology. 12(3). 215–216. 7 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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