Urs Mayr

663 citations
4 papers · 425 · 1 hit paper · h-index 4

Impact in

  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • Hippo pathway signaling and YAP/TAZ
    • Cancer Cells and Metastasis

Papers in

    • Bioinformatics and Genomic Networks 1
    • Microbial Metabolic Engineering and Bioproduction 1
    • Single-cell and spatial transcriptomics 1
    • Metabolomics and Mass Spectrometry Studies 1
    • Pluripotent Stem Cells Research 1
    • Fibroblast Growth Factor Research 1

Urs Mayr

4 papers receiving 423 citations

Hit Papers

Self-organization and symmetry breaking in intestinal organoid development 2019 · 372 citations
3720+2+4Years since publication100200300

Peers

Urs Mayr
Comparison fields: 5 of 78
  • Cell Biology 117
  • Oncology 176
  • Biophysics 35
  • Biomedical Engineering 146
  • Molecular Biology 203
Replace Ludivine Challet Meylan with:
Ludivine Challet Meylan Switzerland
Mariana R. P. Alves Germany
Hendrikus C. R. Ariese Netherlands
Javier Rey-Barroso France
Ignacio Busnelli France
Sarthak Sahoo India
Marco Biondini Canada
Anja S. Knaupp Australia
Stephan A. Eisler Germany
Matej Krajcovic United States
Urs Mayr relative to Ludivine Challet Meylan Switzerland Ludivine Challet Meylan's profile →
Citations per field
00.5×1.5×
Ludivine Challet Meylan · 1×
Citations per year

Countries citing papers authored by Urs Mayr

Since Specialization
Citations

This map shows the geographic impact of Urs Mayr'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 Urs Mayr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urs Mayr more than expected).

Fields of papers citing papers by Urs Mayr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Urs Mayr. 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 Urs Mayr. The network helps show where Urs Mayr may publish in the future.

Co-authors

The 18 scholars most cited alongside Urs Mayr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Urs Mayr Line = papers co-authored together Urs Mayr links everyone, so they are left out of the graph.

All Works

About Urs Mayr

Urs Mayr is a scholar working on Molecular Biology, Infectious Diseases, Surgery, Cellular and Molecular Neuroscience and Oncology, having authored 4 papers that have together received 425 indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (1 paper), Bioinformatics and Genomic Networks (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Single-cell and spatial transcriptomics (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Pluripotent Stem Cells Research (1 paper) and Fibroblast Growth Factor Research (1 paper). The work is most often cited by research in Cell Biology (117 citations), Oncology (176 citations), Biophysics (35 citations), Biomedical Engineering (146 citations) and Molecular Biology (203 citations). Urs Mayr has collaborated with scholars based in Switzerland and Austria. Frequent co-authors include Prisca Liberali, Denise Serra, Andrea Boni, Guglielmo Roma, Ilya Lukonin, Michael Stadler, Annick Waldt, Panagiotis Papasaikas, Ludivine Challet Meylan and Markus Rempfler. Their work appears in journals such as Nature, PLoS Computational Biology, Development and European Neurology.

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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