Dylan Garceau

970 total citations · 1 hit paper
8 papers, 229 citations indexed

About

Dylan Garceau is a scholar working on Physiology, Molecular Biology and Rheumatology. According to data from OpenAlex, Dylan Garceau has authored 8 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Molecular Biology and 2 papers in Rheumatology. Recurrent topics in Dylan Garceau's work include Alzheimer's disease research and treatments (5 papers), GDF15 and Related Biomarkers (2 papers) and Bioinformatics and Genomic Networks (2 papers). Dylan Garceau is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), GDF15 and Related Biomarkers (2 papers) and Bioinformatics and Genomic Networks (2 papers). Dylan Garceau collaborates with scholars based in United States, United Kingdom and Sweden. Dylan Garceau's co-authors include Michael Sasner, Steffen Jung, Sun‐Hye Shin, Jemima J. Burden, Tammaryn Lashley, Jung‐Seok Kim, Soyon Hong, Javier Rueda‐Carrasco, Thomas Childs and Dimitra Sokolova and has published in prestigious journals such as Nature Neuroscience, Alzheimer s & Dementia and Molecular Neurodegeneration.

In The Last Decade

Dylan Garceau

7 papers receiving 227 citations

Hit Papers

Perivascular cells induce microglial phagocytic states an... 2023 2026 2024 2025 2023 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Perivascular cells induce microglial phagocytic states and synaptic engulfment via SPP1 in mouse models of Alzheimer’s disease
    2023 145 citations Sebastiaan De Schepper, Gerard Crowley et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dylan Garceau United States 6 125 89 60 48 29 8 229
Emma Mead United Kingdom 9 139 1.1× 65 0.7× 95 1.6× 86 1.8× 36 1.2× 11 290
Thomas Childs United Kingdom 3 155 1.2× 75 0.8× 52 0.9× 63 1.3× 37 1.3× 3 216
Gerard Crowley United Kingdom 3 173 1.4× 75 0.8× 56 0.9× 74 1.5× 40 1.4× 3 237
Menbere Wendimu United States 3 142 1.1× 61 0.7× 57 0.9× 63 1.3× 24 0.8× 4 236
Thuvarahan Jegathees Australia 4 174 1.4× 121 1.4× 44 0.7× 50 1.0× 28 1.0× 8 256
Deebika Balu United States 9 127 1.0× 156 1.8× 98 1.6× 42 0.9× 62 2.1× 16 340
Holden C. Williams United States 5 74 0.6× 128 1.4× 100 1.7× 33 0.7× 34 1.2× 7 249
D.S.Y. Mak China 3 143 1.1× 122 1.4× 50 0.8× 141 2.9× 26 0.9× 3 326
Carmen Romero‐Molina Spain 8 124 1.0× 120 1.3× 60 1.0× 36 0.8× 37 1.3× 11 212
Evi Paouri Greece 7 125 1.0× 116 1.3× 68 1.1× 36 0.8× 11 0.4× 7 251

Countries citing papers authored by Dylan Garceau

Since Specialization
Citations

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

Fields of papers citing papers by Dylan Garceau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dylan Garceau

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

All Works

8 of 8 papers shown
1.
Pandey, Ravi S., Matthias Arnold, Richa Batra, et al.. (2024). Metabolomics profiling reveals distinct, sex‐specific signatures in serum and brain metabolomes in mouse models of Alzheimer's disease. Alzheimer s & Dementia. 20(6). 3987–4001. 11 indexed citations
2.
Sasner, Michael, Christoph Preuß, Ravi S. Pandey, et al.. (2024). In vivo validation of late‐onset Alzheimer's disease genetic risk factors. Alzheimer s & Dementia. 20(7). 4970–4984. 4 indexed citations
3.
Schepper, Sebastiaan De, Gerard Crowley, Laís S. S. Ferreira, et al.. (2023). Perivascular cells induce microglial phagocytic states and synaptic engulfment via SPP1 in mouse models of Alzheimer’s disease. Nature Neuroscience. 26(3). 406–415. 145 indexed citations breakdown →
4.
Foley, Kate E., et al.. (2022). APOE ε4 and exercise interact in a sex‐specific manner to modulate dementia risk factors. Alzheimer s & Dementia Translational Research & Clinical Interventions. 8(1). e12308–e12308. 5 indexed citations
5.
Foley, Kate E., Dylan Garceau, Kevin P. Kotredes, et al.. (2022). The APOEε3/ε4 Genotype Drives Distinct Gene Signatures in the Cortex of Young Mice. Frontiers in Aging Neuroscience. 14. 838436–838436. 26 indexed citations
6.
7.
Preuß, Christoph, Ravi S. Pandey, Erin Piazza, et al.. (2020). A novel systems biology approach to evaluate mouse models of late-onset Alzheimer’s disease. Molecular Neurodegeneration. 15(1). 67–67. 26 indexed citations
8.

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