David A. Bennett

8.6k total citations
23 papers, 249 citations indexed

About

David A. Bennett is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, David A. Bennett has authored 23 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 12 papers in Molecular Biology and 8 papers in Physiology. Recurrent topics in David A. Bennett's work include Genetic Associations and Epidemiology (13 papers), Bioinformatics and Genomic Networks (10 papers) and Alzheimer's disease research and treatments (7 papers). David A. Bennett is often cited by papers focused on Genetic Associations and Epidemiology (13 papers), Bioinformatics and Genomic Networks (10 papers) and Alzheimer's disease research and treatments (7 papers). David A. Bennett collaborates with scholars based in United States, United Kingdom and Italy. David A. Bennett's co-authors include Philip L. De Jager, Hongyu Zhang, Hui Wang, Julie A. Schneider, Aron S. Buchman, Jingyun Yang, Jingjing Yang, Qingye Zhang, Junyu Chen and Justin M. Luningham and has published in prestigious journals such as Nature Communications, Brain and Scientific Reports.

In The Last Decade

David A. Bennett

19 papers receiving 248 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 7 117 99 77 45 20 23 249
Nadia V. Harerimana United States 5 122 1.0× 67 0.7× 79 1.0× 37 0.8× 29 1.4× 9 238
Duc M. Duong United States 8 108 0.9× 48 0.5× 77 1.0× 28 0.6× 31 1.6× 16 245
Makrina Daniilidou Greece 11 122 1.0× 37 0.4× 131 1.7× 30 0.7× 29 1.4× 17 331
Lesley Leong United States 8 187 1.6× 63 0.6× 132 1.7× 47 1.0× 34 1.7× 9 300
Joshua Stevenson‐Hoare United Kingdom 8 108 0.9× 95 1.0× 138 1.8× 92 2.0× 53 2.6× 15 335
Sunny Chen United States 11 216 1.8× 60 0.6× 157 2.0× 40 0.9× 36 1.8× 27 468
Gloria García Colombia 8 108 0.9× 63 0.6× 206 2.7× 79 1.8× 34 1.7× 12 318
Stephanie L. Ciarlone United States 8 128 1.1× 143 1.4× 59 0.8× 18 0.4× 13 0.7× 12 321
Anindit Chhibber United States 7 53 0.5× 67 0.7× 60 0.8× 53 1.2× 15 0.8× 21 309

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.
Graham, Uschi M., Jayant M. Pinto, Jennifer Weuve, et al.. (2025). Nose-to-brain translocation of inhaled ultrafine elongated particles: facts and mysteries. Frontiers in Toxicology. 7. 1655149–1655149.
2.
Sin, Mo‐Kyung, Jeffrey L. Dage, Kwangsik Nho, et al.. (2025). Plasma Biomarkers for Cerebral Amyloid Angiopathy and Implications for Amyloid-Related Imaging Abnormalities: A Comprehensive Review. Journal of Clinical Medicine. 14(4). 1070–1070. 3 indexed citations
3.
4.
Park, Young Ho, Paula J. Bice, David A. Bennett, et al.. (2024). miR‐133b as a potential regulator of a synaptic NPTX2 protein in Alzheimer's disease. Annals of Clinical and Translational Neurology. 11(10). 2799–2804. 4 indexed citations
5.
Buchman, Aron S., Shinya Tasaki, Yanling Wang, et al.. (2024). SR-TWAS: leveraging multiple reference panels to improve transcriptome-wide association study power by ensemble machine learning. Nature Communications. 15(1). 6646–6646. 2 indexed citations
6.
Tasaki, Shinya, Lei Yu, Julie A. Schneider, et al.. (2024). Polygenic risk associated with Alzheimer’s disease and other traits influences genes involved in T cell signaling and activation. Frontiers in Immunology. 15. 1337831–1337831.
7.
Pyun, Jung‐Min, Young Ho Park, Jiebiao Wang, et al.. (2023). Transcriptional risk scores in Alzheimer's disease: From pathology to cognition. Alzheimer s & Dementia. 20(1). 243–252. 5 indexed citations
8.
Buchman, Aron S., Yanling Wang, Denis Avey, et al.. (2023). Differential gene expression analysis based on linear mixed model corrects false positive inflation for studying quantitative traits. Scientific Reports. 13(1). 16570–16570. 4 indexed citations
9.
Chen, Junyu, Lei Wang, Philip L. De Jager, et al.. (2022). A scalable Bayesian functional GWAS method accounting for multivariate quantitative functional annotations with applications for studying Alzheimer disease. Human Genetics and Genomics Advances. 3(4). 100143–100143. 1 indexed citations
10.
Wang, Hui, David A. Bennett, Philip L. De Jager, Qingye Zhang, & Hongyu Zhang. (2021). Genome-wide epistasis analysis for Alzheimer’s disease and implications for genetic risk prediction. Alzheimer s Research & Therapy. 13(1). 55–55. 28 indexed citations
11.
Luningham, Justin M., Junyu Chen, Philip L. De Jager, et al.. (2020). Bayesian Genome-wide TWAS Method to Leverage both cis- and trans-eQTL Information through Summary Statistics. The American Journal of Human Genetics. 107(4). 714–726. 43 indexed citations
12.
Wang, Hui, Jingyun Yang, Julie A. Schneider, et al.. (2020). Genome-wide interaction analysis of pathological hallmarks in Alzheimer's disease. Neurobiology of Aging. 93. 61–68. 53 indexed citations
13.
Chung, Jaeyoon, Madeline Uretsky, Bobak Abdolmohammadi, et al.. (2020). Genome‐wide interaction study of smoking in Alzheimer’s disease. Alzheimer s & Dementia. 16(S3). 1 indexed citations
14.
Fan, Chun Chieh, Sarah J. Banks, Wesley K. Thompson, et al.. (2020). Sex-dependent autosomal effects on clinical progression of Alzheimer’s disease. Brain. 143(7). 2272–2280. 40 indexed citations
15.
Wingo, Aliza P., Yue Liu, Jake Gockley, et al.. (2020). Integrating human brain proteomes and genome‐wide association results implicates new genes in Alzheimer’s disease. Alzheimer s & Dementia. 16(S3). 1 indexed citations
16.
Ma, Yiyi, Badri N. Vardarajan, David A. Bennett, et al.. (2020). Alzheimer's disease GWAS weighted by multi‐omics and endophenotypes identifies novel risk loci. Alzheimer s & Dementia. 16(S2). 4 indexed citations
17.
Fung, Wai Lun Alan, Melissa Naylor, David A. Bennett, Christoph Lange, & Deborah Blacker. (2013). Principal components methods for narrow‐sense heritability in the analysis of multidimensional longitudinal cognitive phenotypes. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 162(7). 770–778. 1 indexed citations
18.
Chou, Sherry, Joshua Shulman, Brendan T Keenan, et al.. (2013). Genetic Susceptibility for Ischemic Infarction and Arteriolosclerosis Based on Neuropathologic Evaluations. Cerebrovascular Diseases. 36(3). 181–188. 24 indexed citations
19.
Huentelman, Matthew J., Jason J. Corneveaux, Amanda Myers, et al.. (2010). S4‐03‐02: Genome‐Wide Association Study for Alzheimer's Disease Risk in a Large Cohort Of Clinically Characterized And Neuropathologically Verified Subjects. Alzheimer s & Dementia. 6(4S_Part_20). 3 indexed citations
20.
Shah, Raj C., et al.. (2006). Blood Pressure and Lower Limb Function in Older Persons. The Journals of Gerontology Series A. 61(8). 839–843. 15 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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