Dylan Garceau
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
-
- Tryptophan and brain disorders
Papers in
-
- Peroxisome Proliferator-Activated Receptors 1
- Metabolomics and Mass Spectrometry Studies 1
-
- Nuclear Receptors and Signaling 1
- Co-authors
- Michael Sasner (7 shared papers)Gerard Crowley (1 shared paper)Tammaryn Lashley (1 shared paper)Jemima J. Burden (1 shared paper)Dimitra Sokolova (1 shared paper)Javier Rueda‐Carrasco (1 shared paper)Sun‐Hye Shin (1 shared paper)Soyon Hong (1 shared paper)
- Journals
- Alzheimer s & Dementia (3 papers)Frontiers in Aging Neuroscience (1 paper)Alzheimer s & Dementia Translational Research & Clinical Interventions (1 paper)Nature Neuroscience (1 paper)Clinical Kidney Journal (1 paper)
- Partner nations
- United StatesBelgiumCanada
In The Last Decade
Dylan Garceau
8 papers receiving 243 citations
Dylan Garceau's Hit Papers
Peers
Comparison fields: 5 of 59
- Neurology 116
- Biological Psychiatry 26
- Developmental Neuroscience 16
- Physiology 72
- Immunology 37
Countries citing papers authored by Dylan Garceau
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
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-authors
The 25 scholars most cited alongside Dylan Garceau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Perivascular cells induce microglial phagocytic states and synaptic engulfment via SPP1 in mouse models of Alzheimer’s disease Hit paper breakdown → | 2023 | 158 |
| 2 | 2022 | 27 | |
| 3 | 2020 | 26 | |
| 4 | 2024 | 12 | |
| 5 | 2013 | 12 | |
| 6 | 2022 | 5 | |
| 7 | 2024 | 4 | |
| 8 | 2021 | 1 |
About Dylan Garceau
Dylan Garceau is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 8 papers that have together received 245 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (1 paper), Long-Term Effects of COVID-19 (1 paper), Alzheimer's disease research and treatments (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Nuclear Receptors and Signaling (1 paper), Vagus Nerve Stimulation Research (1 paper), Vasculitis and related conditions (1 paper) and Bacterial Infections and Vaccines (1 paper). The work is most often cited by research in Neurology (116 citations), Biological Psychiatry (26 citations), Developmental Neuroscience (16 citations), Physiology (72 citations) and Immunology (37 citations). Dylan Garceau has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Michael Sasner, Gerard Crowley, Tammaryn Lashley, Jemima J. Burden, Dimitra Sokolova, Javier Rueda‐Carrasco, Sun‐Hye Shin, Soyon Hong, Carlo Sala Frigerio and Laís S. S. Ferreira. Their work appears in journals such as Alzheimer s & Dementia, Frontiers in Aging Neuroscience, Alzheimer s & Dementia Translational Research & Clinical Interventions, Nature Neuroscience and Clinical Kidney Journal.
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.