Aaron Burberry
Impact in
Papers in
-
- Amyotrophic Lateral Sclerosis Research 7
- Neuroinflammation and Neurodegeneration Mechanisms 3
-
- Inflammasome and immune disorders 2
- S100 Proteins and Annexins 1
- Co-authors
- Gabriel Núñez (5 shared papers)Yuumi Nakamura (2 shared papers)Kevin Eggan (7 shared papers)Yun‐Gi Kim (2 shared papers)Luigi Franchi (2 shared papers)Saranyaraajan Varadarajan (1 shared paper)Daniel A. Mordes (4 shared papers)Raúl Muñoz-Planillo (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Science Translational Medicine (2 papers)Bioinformatics (1 paper)Gut Microbes (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Aaron Burberry
16 papers receiving 2.0k citations
Aaron Burberry's Hit Papers
Peers
Comparison fields: 5 of 118
- Neurology 615
- Genetics 347
- Biological Psychiatry 72
- Neurology 158
- Immunology 407
Countries citing papers authored by Aaron Burberry
This map shows the geographic impact of Aaron Burberry'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 Aaron Burberry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Burberry more than expected).
Fields of papers citing papers by Aaron Burberry
This network shows the impact of papers produced by Aaron Burberry. 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 Aaron Burberry. The network helps show where Aaron Burberry may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaron Burberry, 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 | ALS-implicated protein TDP-43 sustains levels of STMN2, a mediator of motor neuron growth and repair Hit paper breakdown → | 2019 | 371 |
| 2 | 2012 | 328 | |
| 3 | 2013 | 235 | |
| 4 | 2020 | 196 | |
| 5 | 2016 | 192 | |
| 6 | 2014 | 145 | |
| 7 | ggpicrust2: an R package for PICRUSt2 predicted functional profile analysis and visualization Hit paper breakdown → | 2023 | 137 |
| 8 | 2011 | 100 | |
| 9 | 2013 | 92 | |
| 10 | 2013 | 52 | |
| 11 | 2018 | 51 | |
| 12 | 2022 | 40 | |
| 13 | 2014 | 35 | |
| 14 | 2024 | 16 | |
| 15 | 2024 | 9 | |
| 16 | 2024 | 4 |
About Aaron Burberry
Aaron Burberry is a scholar working on Neurology, Molecular Biology, Physiology, Immunology and Neurology, having authored 16 papers that have together received 2.0k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (7 papers), Alzheimer's disease research and treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Immune cells in cancer (3 papers), Neurogenetic and Muscular Disorders Research (2 papers), Inflammasome and immune disorders (2 papers), Immune Response and Inflammation (2 papers) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Neurology (615 citations), Genetics (347 citations), Biological Psychiatry (72 citations), Neurology (158 citations) and Immunology (407 citations). Aaron Burberry has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Gabriel Núñez, Yuumi Nakamura, Kevin Eggan, Yun‐Gi Kim, Luigi Franchi, Saranyaraajan Varadarajan, Daniel A. Mordes, Raúl Muñoz-Planillo, Yuan He and Francesco Limone. Their work appears in journals such as Journal of Biological Chemistry, Science Translational Medicine, Bioinformatics, Gut Microbes and Nature Neuroscience.
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.