Hansruedi Mathys

5.4k total citations · 4 hit papers
13 papers, 3.4k citations indexed

About

Hansruedi Mathys is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hansruedi Mathys has authored 13 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Neurology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hansruedi Mathys's work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (4 papers). Hansruedi Mathys is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (7 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (4 papers). Hansruedi Mathys collaborates with scholars based in United States, Switzerland and United Kingdom. Hansruedi Mathys's 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 and has published in prestigious journals such as Nature, Cell and Neuron.

In The Last Decade

Hansruedi Mathys

12 papers receiving 3.4k citations

Hit Papers

Gamma frequency entrainment attenuates amyloid load and m... 2016 2026 2019 2022 2016 2017 2019 2023 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Gamma frequency entrainment attenuates amyloid load and modifies microglia
    2016 859 citations Annabelle C. Singer, Anthony J. Martorell et al. Nature profile →
  2. Temporal Tracking of Microglia Activation in Neurodegeneration at Single-Cell Resolution
    2017 486 citations Hansruedi Mathys, Chinnakkaruppan Adaikkan et al. Cell Reports profile →
  3. Gamma Entrainment Binds Higher-Order Brain Regions and Offers Neuroprotection
    2019 293 citations Chinnakkaruppan Adaikkan, Steven J. Middleton et al. Neuron profile →
  4. Human microglial state dynamics in Alzheimer’s disease progression
    2023 162 citations Na Sun, Matheus B. Victor et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hansruedi Mathys United States 11 1.7k 961 763 664 620 13 3.4k
Maria Medalla United States 26 1.3k 0.7× 896 0.9× 703 0.9× 732 1.1× 939 1.5× 49 3.1k
Fatema Abdurrob United States 10 1.3k 0.8× 1.2k 1.2× 1.1k 1.4× 992 1.5× 738 1.2× 12 3.4k
Jennie Z. Young United States 12 1.3k 0.7× 1.5k 1.5× 1.2k 1.6× 905 1.4× 937 1.5× 13 3.6k
David A. Lyons United Kingdom 36 1.6k 0.9× 1.5k 1.6× 1.7k 2.2× 338 0.5× 197 0.3× 61 4.7k
Myriam Heiman United States 26 2.7k 1.6× 1.1k 1.2× 1.7k 2.2× 736 1.1× 384 0.6× 36 5.4k
Amit Agarwal United States 22 958 0.6× 984 1.0× 1.5k 2.0× 431 0.6× 608 1.0× 33 3.0k
Domenico Del Turco Germany 33 1.3k 0.8× 492 0.5× 1.4k 1.8× 681 1.0× 290 0.5× 65 2.9k
Juan Manuel Encinas Spain 29 1.5k 0.9× 1.7k 1.7× 1.5k 2.0× 607 0.9× 316 0.5× 57 4.9k
Kathy Keyvani Germany 35 1.1k 0.6× 508 0.5× 536 0.7× 1.0k 1.5× 245 0.4× 103 3.3k
Shuyun Deng China 8 1.8k 1.0× 1.5k 1.5× 953 1.2× 690 1.0× 154 0.2× 19 3.8k

Countries citing papers authored by Hansruedi Mathys

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

13 of 13 papers shown
1.
Castanho, Isabel, Pourya Naderi Yeganeh, Carles A. Boix, et al.. (2025). Molecular hallmarks of excitatory and inhibitory neuronal resilience to Alzheimer’s disease. Molecular Neurodegeneration. 20(1). 103–103.
2.
Sun, Na, Matheus B. Victor, Yongjin Park, et al.. (2023). Human microglial state dynamics in Alzheimer’s disease progression. Cell. 186(20). 4386–4403.e29. 162 indexed citations breakdown →
3.
Adaikkan, Chinnakkaruppan, Steven J. Middleton, Asaf Marco, et al.. (2019). Gamma Entrainment Binds Higher-Order Brain Regions and Offers Neuroprotection. Neuron. 102(5). 929–943.e8. 293 indexed citations breakdown →
4.
Singer, Annabelle C., Anthony J. Martorell, John M. Douglas, et al.. (2018). Noninvasive 40-Hz light flicker to recruit microglia and reduce amyloid beta load. Nature Protocols. 13(8). 1850–1868. 81 indexed citations
5.
Mathys, Hansruedi, Chinnakkaruppan Adaikkan, Fan Gao, et al.. (2017). Temporal Tracking of Microglia Activation in Neurodegeneration at Single-Cell Resolution. Cell Reports. 21(2). 366–380. 486 indexed citations breakdown →
6.
Singer, Annabelle C., Anthony J. Martorell, Andrii Rudenko, et al.. (2016). Gamma frequency entrainment attenuates amyloid load and modifies microglia. RePEc: Research Papers in Economics. 3 indexed citations
7.
Singer, Annabelle C., Anthony J. Martorell, Andrii Rudenko, et al.. (2016). Gamma frequency entrainment attenuates amyloid load and modifies microglia. Nature. 540(7632). 230–235. 859 indexed citations breakdown →
8.
Gjoneska, Elizabeta, Andreas Pfenning, Hansruedi Mathys, et al.. (2015). Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer’s disease. Nature. 518(7539). 365–369. 384 indexed citations
9.
Mathys, Hansruedi, J. Basquin, Sevim Ozgur, et al.. (2014). Structural and Biochemical Insights to the Role of the CCR4-NOT Complex and DDX6 ATPase in MicroRNA Repression. Molecular Cell. 54(5). 751–765. 248 indexed citations
10.
Chekulaeva, Marina, et al.. (2011). miRNA repression involves GW182-mediated recruitment of CCR4–NOT through conserved W-containing motifs. Nature Structural & Molecular Biology. 18(11). 1218–1226. 279 indexed citations
11.
Bhattacharyya, Sankar, et al.. (2009). Importance of the C-terminal domain of the human GW182 protein TNRC6C for translational repression. RNA. 15(5). 781–793. 109 indexed citations
12.
Fabian, Marc R., Géraldine Mathonnet, Thomas R. Sundermeier, et al.. (2009). Mammalian miRNA RISC Recruits CAF1 and PABP to Affect PABP-Dependent Deadenylation. Molecular Cell. 35(6). 868–880. 305 indexed citations
13.
Eberle, Andrea, et al.. (2008). Posttranscriptional Gene Regulation by Spatial Rearrangement of the 3′ Untranslated Region. PLoS Biology. 6(4). e92–e92. 229 indexed citations

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.

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