Annabelle C. Singer
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 1%
- Neurology top 2%
- Physiology top 10%
- Molecular Biology
- Co-authors
- Loren M. FrankEdward S. BoydenFatema AbdurrobAnthony J. MartorellEmery N. BrownOleg KritskiyHansruedi MathysChinnakkaruppan Adaikkan
- Topics
- Neuroscience and Neuropharmacology Research (19 papers)Memory and Neural Mechanisms (16 papers)Neural dynamics and brain function (13 papers)
- Partner nations
- United StatesJapan
In The Last Decade
Annabelle C. Singer
27 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Cognitive Neuroscience 1.4k
- Cellular and Molecular Neuroscience 1.3k
- Neurology 475
- Physiology 357
- Molecular Biology 252
Countries citing papers authored by Annabelle C. Singer
This map shows the geographic impact of Annabelle C. Singer'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 Annabelle C. Singer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annabelle C. Singer more than expected).
Fields of papers citing papers by Annabelle C. Singer
This network shows the impact of papers produced by Annabelle C. Singer. 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 Annabelle C. Singer. The network helps show where Annabelle C. Singer may publish in the future.
Co-authorship network of co-authors of Annabelle C. Singer
This figure shows the co-authorship network connecting the top 25 collaborators of Annabelle C. Singer. A scholar is included among the top collaborators of Annabelle C. Singer 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 Annabelle C. Singer. Annabelle C. Singer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 34 | |
| 7 | 44 | |
| 8 | Multi-sensory Gamma Stimulation Ameliorates Alzheimer’s-Associated Pathology and Improves Cognitionbreakdown → | 473 |
| 9 | Evidence for Long-Timescale Patterns of Synaptic Inputs in CA1 of Awake Behaving Mice | 4 |
| 10 | 81 | |
| 11 | 4 | |
| 12 | 9 | |
| 13 | 14 | |
| 14 | Gamma frequency entrainment attenuates amyloid load and modifies microglia | 3 |
| 15 | 43 | |
| 16 | Gamma frequency entrainment attenuates amyloid load and modifies microgliabreakdown → | 859 |
| 17 | 80 | |
| 18 | 170 | |
| 19 | 59 | |
| 20 | 258 |
About Annabelle C. Singer
Annabelle C. Singer is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 28 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Memory and Neural Mechanisms (16 papers) and Neural dynamics and brain function (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Cognitive Neuroscience (1.4k citations) and Neurology (475 citations). Annabelle C. Singer has collaborated with scholars based in United States and Japan. Frequent co-authors include Loren M. Frank, Edward S. Boyden, Fatema Abdurrob, Anthony J. Martorell, Emery N. Brown, Oleg Kritskiy, Hansruedi Mathys, Chinnakkaruppan Adaikkan, Li‐Huei Tsai and Andrii Rudenko. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.