Hansruedi Mathys

5.2k total citations · 3 hit papers
12 papers, 2.1k citations indexed

About

Hansruedi Mathys is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Hansruedi Mathys has authored 12 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Neurology and 3 papers in Physiology. Recurrent topics in Hansruedi Mathys's work include Single-cell and spatial transcriptomics (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Alzheimer's disease research and treatments (3 papers). Hansruedi Mathys is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Alzheimer's disease research and treatments (3 papers). Hansruedi Mathys collaborates with scholars based in United States, Sweden and Canada. Hansruedi Mathys's 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 and has published in prestigious journals such as Nature, Cell and Nature Medicine.

In The Last Decade

Hansruedi Mathys

12 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

Single-cell transcriptomic analysis of Alzheimer’s disease

2019 1.4k citations Hansruedi Mathys, José Dávila-Velderrain et al. Nature profile →
Single-cell dissection of the human brain vasculature

2022 173 citations F. García, Na Sun et al. Nature profile →
Single-cell multiregion dissection of Alzheimer’s disease

2024 83 citations Hansruedi Mathys, Carles A. Boix et al. Nature profile →

Peers

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

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12 of 12 papers shown

#	Work	Indexed citations
1	Proteomic changes in Alzheimer’s disease associated with progressive Aβ plaque and tau tangle pathologies 2024 ·Nature Neuroscience ·Alexa Pichet Binette, Chris Gaiteri, Malin Wennström, Atul Kumar, Inès Hristovska, Nicola Spotorno, Gemma Salvadó, Olof Strandberg, Hansruedi Mathys, Li‐Huei Tsai, Sebastian Palmqvist, Niklas Mattsson, Shorena Janelidze, Erik Stomrud, Jacob W. Vogel, Oskar Hansson	40
2	Single-cell multiregion dissection of Alzheimer’s disease breakdown → 2024 ·Nature ·Hansruedi Mathys, Carles A. Boix, Leyla Anne Akay, Ziting Xia, José Dávila-Velderrain, Ayesha P. Ng, Xueqiao Jiang, Ghada Abdelhady, Kyriaki Galani, Julio Mantero, (unknown), Benjamin T. James, Sudhagar Babu, (unknown), (unknown), Dmitry Prokopenko, Rudolph E. Tanzi, David A. Bennett, Li‐Huei Tsai, Manolis Kellis	83
3	Lateral mammillary body neurons in mouse brain are disproportionately vulnerable in Alzheimer’s disease 2023 ·Science Translational Medicine ·Wen‐Chin Huang, Zhuyu Peng, Mitchell H. Murdock, Liwang Liu, Hansruedi Mathys, José Dávila-Velderrain, Xueqiao Jiang, (unknown), Ayesha P. Ng, TaeHyun Kim, Fatema Abdurrob, Fan Gao, David A. Bennett, Manolis Kellis, Li‐Huei Tsai	11
4	Epigenomic dissection of Alzheimer’s disease pinpoints causal variants and reveals epigenome erosion 2023 ·Cell ·Xushen Xiong, Benjamin T. James, Carles A. Boix, Yongjin Park, Kyriaki Galani, Matheus B. Victor, Na Sun, Lei Hou, Li‐Lun Ho, Julio Mantero, Aine Ni Scannail, Vishnu Dileep, Weixiu Dong, Hansruedi Mathys, David A. Bennett, Li‐Huei Tsai, Manolis Kellis	68
5	Single-nucleus multiregion transcriptomic analysis of brain vasculature in Alzheimer’s disease 2023 ·Nature Neuroscience ·Na Sun, Leyla Anne Akay, Mitchell H. Murdock, Yongjin Park, (unknown), Adele Bubnys, Kyriaki Galani, Hansruedi Mathys, Xueqiao Jiang, Ayesha P. Ng, David A. Bennett, Li‐Huei Tsai, Manolis Kellis	72
6	Multi‐polygenic score model informs the genetic basis of heterogeneity in Alzheimer’s disease 2023 ·Alzheimer s & Dementia ·Yosuke Tanigawa, Na Sun, (unknown), Carles A. Boix, Kyriaki Galani, Hansruedi Mathys, David A. Bennett, Li‐Huei Tsai, Manolis Kellis	1
7	Neuronal DNA double-strand breaks lead to genome structural variations and 3D genome disruption in neurodegeneration 2023 ·Cell ·Vishnu Dileep, Carles A. Boix, Hansruedi Mathys, Asaf Marco, Gwyneth Welch, Hiruy S. Meharena, (unknown), (unknown), Zhuyu Peng, David A. Bennett, Manolis Kellis, Li‐Huei Tsai	59
8	A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes 2022 ·Nature Neuroscience ·Gloria Colombo, Ryan John Cubero, Lida Kanari, (unknown), Rouven Schulz, Martina Scolamiero, (unknown), Hansruedi Mathys, Li‐Huei Tsai, (unknown), Kathryn Hess, Sandra Siegert	36
9	Single-cell dissection of the human brain vasculature breakdown → 2022 ·Nature ·F. García, Na Sun, Hyeseung Lee, Brianna Godlewski, Hansruedi Mathys, Kyriaki Galani, (unknown), Xueqiao Jiang, Ayesha P. Ng, Julio Mantero, Li‐Huei Tsai, David A. Bennett, Mustafa Şahin, Manolis Kellis, Myriam Heiman	173
10	Author Correction: Reconstruction of the human blood–brain barrier in vitro reveals a pathogenic mechanism of APOE4 in pericytes 2021 ·Nature Medicine ·Joel Blanchard, Michael Bula, José Dávila-Velderrain, Leyla Anne Akay, (unknown), Alexander Frank, Matheus B. Victor, Julia Maeve Bonner, Hansruedi Mathys, Yuan-Ta Lin, Tak Ko, David A. Bennett, Hugh P. Cam, Manolis Kellis, Li‐Huei Tsai	4
11	Reconstruction of the human blood–brain barrier in vitro reveals a pathogenic mechanism of APOE4 in pericytes 2020 ·Nature Medicine ·Joel Blanchard, Michael Bula, José Dávila-Velderrain, Leyla Anne Akay, (unknown), Alexander Frank, Matheus B. Victor, Julia Maeve Bonner, Hansruedi Mathys, Yuan-Ta Lin, Tak Ko, David A. Bennett, Hugh P. Cam, Manolis Kellis, Li‐Huei Tsai	182
12	Single-cell transcriptomic analysis of Alzheimer’s disease breakdown → 2019 ·Nature ·Hansruedi Mathys, José Dávila-Velderrain, Zhuyu Peng, Fan Gao, Shahin Mohammadi, Jennie Z. Young, Madhvi Menon, Liang He, Fatema Abdurrob, Xueqiao Jiang, Anthony J. Martorell, Richard M. Ransohoff, Brian P. Hafler, David A. Bennett, Manolis Kellis, Li‐Huei Tsai	1401

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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