Hansruedi Mathys

5.2k citations
12 papers · 2.1k indexed · 3 hit papers · h-index 10
Topics
Single-cell and spatial transcriptomics (6 papers)Neuroinflammation and Neurodegeneration Mechanisms (6 papers)Alzheimer's disease research and treatments (3 papers)

In The Last Decade

Hansruedi Mathys

12 papers receiving 2.1k citations

Hit Papers

Single-cell transcriptomic analysis of Alzheimer’s disease20192026202120232019202220244008001.2k

Peers

Hansruedi Mathys
Comparison fields: 5 of 97
  • Molecular Biology 1.1k
  • Neurology 1.0k
  • Physiology 742
  • Immunology 267
  • Cellular and Molecular Neuroscience 262
Replace Brian P. Hafler with:
Brian P. Hafler United States
Zhuyu Peng United States
Basavaraj Hooli United States
Renzo Mancuso Spain
Lieneke Kooijman Netherlands
Carlo Sala Frigerio United Kingdom
Patricia Cassina Uruguay
William J. Meilandt United States
Qingli Xiao United States
Ludovico Cantuti‐Castelvetri Germany
Hansruedi Mathys relative to Brian P. Hafler United States Brian P. Hafler's profile →
Citations per field
00.5×1.5×1.9×
Brian P. Hafler · 1×
Citations per year

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

12 of 12 papers shown
#WorkIndexed citations
1 40
2
Single-cell multiregion dissection of Alzheimer’s diseasebreakdown →
83
3 11
4 68
5 72
6 1
7 59
8 36
9
Single-cell dissection of the human brain vasculaturebreakdown →
173
10 4
11 182
12
Single-cell transcriptomic analysis of Alzheimer’s diseasebreakdown →
1401

About Hansruedi Mathys

Hansruedi Mathys is a scholar working on Neurology, Biological Psychiatry and Immunology and Allergy, having authored 12 papers that have together received 2.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Neurology (1.0k citations), Biological Psychiatry (191 citations) and Developmental Neuroscience (178 citations). Hansruedi Mathys has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Li‐Huei Tsai, Manolis Kellis, David A. Bennett, Xueqiao Jiang, José Dávila-Velderrain, Zhuyu Peng, Jennie Z. Young, Liang He, Fan Gao and Fatema Abdurrob. Their work appears in journals such as Nature, Cell and Nature Medicine.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026