Matthew De Both

475 total citations
15 papers, 233 citations indexed

About

Matthew De Both is a scholar working on Molecular Biology, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Matthew De Both has authored 15 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Physiology and 3 papers in Psychiatry and Mental health. Recurrent topics in Matthew De Both's work include Alzheimer's disease research and treatments (6 papers), RNA regulation and disease (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Matthew De Both is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), RNA regulation and disease (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Matthew De Both collaborates with scholars based in United States, Australia and United Kingdom. Matthew De Both's co-authors include Matthew J. Huentelman, Joshua S. Talboom, Marcus Naymik, Erika Driver‐Dunckley, Ignazio S. Piras, Ashley L. Siniard, Travis Dunckley, Thomas G. Beach, Richard J. Caselli and Qi Wang and has published in prestigious journals such as Scientific Reports, Brain Research and Hypertension.

In The Last Decade

Matthew De Both

14 papers receiving 230 citations

Peers

Matthew De Both
Angelique Regnier‐Golanov United States
David G. Brohawn United States
Sara L. Domínguez United States
Masanori Kurihara Japan
Jingxuan Huang China
Lauriane Delay United States
Matthew D. Howe United States
Ahmed Abdelmoity United States
Timo Eninger Germany
David T. She Singapore
Angelique Regnier‐Golanov United States
Matthew De Both
Citations per year, relative to Matthew De Both Matthew De Both (= 1×) peers Angelique Regnier‐Golanov

Countries citing papers authored by Matthew De Both

Since Specialization
Citations

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

Fields of papers citing papers by Matthew De Both

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew De Both. 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 Matthew De Both. The network helps show where Matthew De Both may publish in the future.

Co-authorship network of co-authors of Matthew De Both

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew De Both. A scholar is included among the top collaborators of Matthew De Both 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 Matthew De Both. Matthew De Both is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Ryan, Lee, Matthew De Both, Megan Johnson, et al.. (2025). MindCrowd-Expanded: An Online Multi-Domain Assessment of Cognitive Aging. Gerontology. 71(9). 773–791.
2.
Deoni, Sean, Jennifer Beauchemin, Matthew De Both, et al.. (2022). Neuroimaging and verbal memory assessment in healthy aging adults using a portable low-field MRI scanner and a web-based platform: results from a proof-of-concept population-based cross-section study. Brain Structure and Function. 228(2). 493–509. 5 indexed citations
3.
Wang, Qi, Bessie Meechoovet, Ashley L. Siniard, et al.. (2021). DNA Methylation and Expression Profiles of Whole Blood in Parkinson’s Disease. Frontiers in Genetics. 12. 640266–640266. 53 indexed citations
4.
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6.
Piras, Ignazio S., Isabelle Schrauwen, Joshua S. Talboom, et al.. (2020). Transcriptional profiling of multiple system atrophy cerebellar tissue highlights differences between the parkinsonian and cerebellar sub-types of the disease. Acta Neuropathologica Communications. 8(1). 76–76. 20 indexed citations
7.
8.
Piras, Ignazio S., Joshua S. Talboom, Matthew De Both, et al.. (2020). ESHRD: deconvolution of brain homogenate RNA expression data to identify cell-type-specific alterations in Alzheimer’s disease. Aging. 12(5). 4124–4162. 4 indexed citations
9.
Huentelman, Matt, Matthew De Both, Ignazio S. Piras, et al.. (2019). Common BACE2 Polymorphisms are Associated with Altered Risk for Alzheimer’s Disease and CSF Amyloid Biomarkers in APOE ε4 Non-Carriers. Scientific Reports. 9(1). 9640–9640. 16 indexed citations
10.
Piras, Ignazio S., Elaine Delvaux, Jennifer Nolz, et al.. (2019). Association of AEBP1 and NRN1 RNA expression with Alzheimer’s disease and neurofibrillary tangle density in middle temporal gyrus. Brain Research. 1719. 217–224. 18 indexed citations
11.
Talboom, Joshua S., Asta K. Håberg, Matthew De Both, et al.. (2019). Family history of Alzheimer’s disease alters cognition and is modified by medical and genetic factors. eLife. 8. 30 indexed citations
12.
Chawla, Monica K., Lauren A. Biwer, Lan T. Hoang, et al.. (2019). Gradual hypertension induction in middle‐aged Cyp1a1‐Ren2 transgenic rats produces significant impairments in spatial learning. Physiological Reports. 7(6). e14010–e14010. 6 indexed citations
13.
Huentelman, Matthew J., Ignazio S. Piras, Ashley L. Siniard, et al.. (2018). Associations of MAP2K3 Gene Variants With Superior Memory in SuperAgers. Frontiers in Aging Neuroscience. 10. 155–155. 22 indexed citations
14.
Huentelman, Matthew J., Ignazio S. Piras, Ashley L. Siniard, et al.. (2017). [P4–081]: ASSOCIATION OF MAP2K3 GENE VARIATION AND THE SUPERAGING PHENOTYPE DETECTED BY WHOLE EXOME SEQUENCING. Alzheimer s & Dementia. 13(7S_Part_27). 1 indexed citations
15.
Corneveaux, Jason J., Matthew De Both, Lori Cuyugan, et al.. (2016). Next-generation profiling to identify the molecular etiology of Parkinson dementia. Neurology Genetics. 2(3). e75–e75. 26 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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2026