Hansruedi Mathys
- Molecular Biology top 5%
- Neurology top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Chinnakkaruppan AdaikkanFan GaoWitold FilipowiczLi-Huei TsaiLi‐Huei TsaiEdward S. BoydenJennie Z. YoungAnnabelle C. Singer
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (7 papers)RNA Research and Splicing (5 papers)RNA modifications and cancer (4 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Hansruedi Mathys
12 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.7k
- Neurology 961
- Cellular and Molecular Neuroscience 763
- Physiology 664
- Cognitive Neuroscience 620
Countries citing papers authored by Hansruedi Mathys
This map shows the geographic impact of Hansruedi Mathys'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 Hansruedi Mathys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hansruedi Mathys more than expected).
Fields of papers citing papers by Hansruedi Mathys
This network shows the impact of papers produced by Hansruedi Mathys. 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 Hansruedi Mathys. The network helps show where Hansruedi Mathys may publish in the future.
Co-authorship network of co-authors of Hansruedi Mathys
This figure shows the co-authorship network connecting the top 25 collaborators of Hansruedi Mathys. A scholar is included among the top collaborators of Hansruedi Mathys 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 Hansruedi Mathys. Hansruedi Mathys is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Human microglial state dynamics in Alzheimer’s disease progressionbreakdown → | 162 |
| 3 | Gamma Entrainment Binds Higher-Order Brain Regions and Offers Neuroprotectionbreakdown → | 293 |
| 4 | 81 | |
| 5 | Temporal Tracking of Microglia Activation in Neurodegeneration at Single-Cell Resolutionbreakdown → | 486 |
| 6 | Gamma frequency entrainment attenuates amyloid load and modifies microglia | 3 |
| 7 | Gamma frequency entrainment attenuates amyloid load and modifies microgliabreakdown → | 859 |
| 8 | 384 | |
| 9 | 248 | |
| 10 | 279 | |
| 11 | 109 | |
| 12 | 305 | |
| 13 | 229 |
About Hansruedi Mathys
Hansruedi Mathys is a scholar working on Neurology, Aging and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Neurology (961 citations), Biological Psychiatry (144 citations) and Cellular and Molecular Neuroscience (763 citations). Hansruedi Mathys has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Chinnakkaruppan Adaikkan, Fan Gao, Witold Filipowicz, Li-Huei Tsai, Li‐Huei Tsai, Edward S. Boyden, Jennie Z. Young, Annabelle C. Singer, Fatema Abdurrob and Anthony J. Martorell. Their work appears in journals such as Nature, Cell and Neuron.
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.