Matthew R. Angle
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- Neuroscience and Neural Engineering 6
- Photoreceptor and optogenetics research 3
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- Neural dynamics and brain function 4
- EEG and Brain-Computer Interfaces 1
- Co-authors
- Nicholas A. Melosh (5 shared papers)Andreas T. Schaefer (4 shared papers)Xi Xie (1 shared paper)Alexander M. Xu (1 shared paper)Piyush Verma (1 shared paper)Noureddine Tayebi (1 shared paper)Bianxiao Cui (1 shared paper)Abdulmalik Obaid (2 shared papers)
- Journals
- Journal of Neural Engineering (2 papers)Science Advances (1 paper)Nano Letters (1 paper)Biophysical Journal (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Matthew R. Angle
8 papers receiving 458 citations
Peers
Comparison fields: 5 of 67
- Cellular and Molecular Neuroscience 297
- Cognitive Neuroscience 133
- Electrochemistry 28
- Biomedical Engineering 185
- Bioengineering 18
Countries citing papers authored by Matthew R. Angle
This map shows the geographic impact of Matthew R. Angle'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 R. Angle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew R. Angle more than expected).
Fields of papers citing papers by Matthew R. Angle
This network shows the impact of papers produced by Matthew R. Angle. 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 R. Angle. The network helps show where Matthew R. Angle may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew R. Angle, 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 | 2013 | 162 | |
| 2 | 2020 | 133 | |
| 3 | 2015 | 54 | |
| 4 | 2014 | 42 | |
| 5 | 2012 | 30 | |
| 6 | 2020 | 22 | |
| 7 | 2024 | 11 | |
| 8 | 2021 | 6 |
About Matthew R. Angle
Matthew R. Angle is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology, having authored 8 papers that have together received 460 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (6 papers), Neural dynamics and brain function (4 papers), Photoreceptor and optogenetics research (3 papers), Advanced Memory and Neural Computing (3 papers), Microfluidic and Bio-sensing Technologies (1 paper), Polymer Surface Interaction Studies (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (297 citations), Cognitive Neuroscience (133 citations), Electrochemistry (28 citations), Biomedical Engineering (185 citations) and Bioengineering (18 citations). Matthew R. Angle has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Nicholas A. Melosh, Andreas T. Schaefer, Xi Xie, Alexander M. Xu, Piyush Verma, Noureddine Tayebi, Bianxiao Cui, Abdulmalik Obaid, Mihály Köllő and Andreas Hierlemann. Their work appears in journals such as Journal of Neural Engineering, Science Advances, Nano Letters, Biophysical Journal and PLoS ONE.
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.