Stefan Rubner

587 citations
16 papers · 481 · h-index 12

Impact in

  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • Cytokine Signaling Pathways and Interactions
    • Cancer Cells and Metastasis

Papers in

    • Ubiquitin and proteasome pathways 5
    • Protein Degradation and Inhibitors 5
    • Cytokine Signaling Pathways and Interactions 5
    • Cancer-related Molecular Pathways 2

Stefan Rubner

16 papers receiving 477 citations

Peers

Stefan Rubner
Comparison fields: 5 of 79
  • Cell Biology 134
  • Oncology 193
  • Immunology and Allergy 33
  • Biomaterials 59
  • Rehabilitation 28
Replace Lauren E. Barney with:
Lauren E. Barney United States
Jessica Hoarau-Véchot Qatar
Xinliang Su China
Jonas Schnittert Netherlands
Benjamin V. Park United States
Abigail Hielscher United States
Karlien Kallmeyer South Africa
Arianna Parnigoni Italy
Hemanth Akkiraju United States
Alejandro E. Mayorca‐Guiliani Denmark
Stefan Rubner relative to Lauren E. Barney United States Lauren E. Barney's profile →
Citations per field
00.5×1.5×2.2×
Lauren E. Barney · 1×
Citations per year

Countries citing papers authored by Stefan Rubner

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Rubner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefan Rubner, 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 Stefan Rubner Line = papers co-authored together Stefan Rubner links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2015155
2 201759
3 201553
4 201738
5 201832
6 201923
7 201720
8 201620
9 201520
10 201917
11 201915
12 201912
13 20187
14 20235
15 20183
16 20162

About Stefan Rubner

Stefan Rubner is a scholar working on Molecular Biology, Oncology, Cell Biology, Biomedical Engineering and Organic Chemistry, having authored 16 papers that have together received 481 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), Protein Degradation and Inhibitors (5 papers), Cellular Mechanics and Interactions (3 papers), Microtubule and mitosis dynamics (2 papers), Cancer-related Molecular Pathways (2 papers), Collagen: Extraction and Characterization (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cell Biology (134 citations), Oncology (193 citations), Immunology and Allergy (33 citations), Biomaterials (59 citations) and Rehabilitation (28 citations). Stefan Rubner has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Thorsten Berg, W. Pompe, Steve Martin, Jiranuwat Sapudom, Claudia Tanja Mierke, Stefanie Riedel, Sabine Schubert, Angela Berg, Ulf Anderegg and Ulf Wagner. Their work appears in journals such as Scientific Reports, Advanced Healthcare Materials, Chemistry - A European Journal, ACS Chemical Biology and Biomaterials.

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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