Mathias Gebauer

1.3k citations
16 papers · 993 · h-index 12

Impact in

Papers in

Mathias Gebauer

15 papers receiving 964 citations

Peers

Mathias Gebauer
Comparison fields: 5 of 95
  • Cardiology and Cardiovascular Medicine 282
  • Internal Medicine 27
  • Rheumatology 94
  • Molecular Biology 429
  • Anesthesiology and Pain Medicine 22
Replace Maria Cristina Patrosso with:
Maria Cristina Patrosso Italy
Robert C. Lyon United States
Anne Jämsä Sweden
Audrey Robinson‐White United States
Sudarsan Rajan United States
Jin Oshikawa Japan
Wenying Fan China
John Saltis Australia
Bryan E. Thacker United States
Mathias Gebauer relative to Maria Cristina Patrosso Italy Maria Cristina Patrosso's profile →
Citations per field
00.5×7.3×
Maria Cristina Patrosso · 1×
Citations per year

Countries citing papers authored by Mathias Gebauer

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Gebauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2005180
2 2000161
3 2005126
4 2010105
5 199790
6 200586
7 200470
8 199848
9 199837
10 200935
11 200522
12 201520
13 20019
14 20173
15 20131
16 20230

About Mathias Gebauer

Mathias Gebauer is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Rheumatology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 16 papers that have together received 993 indexed citations. Recurring topics across this work include Heat shock proteins research (3 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Pain Mechanisms and Treatments (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (282 citations), Internal Medicine (27 citations), Rheumatology (94 citations), Molecular Biology (429 citations) and Anesthesiology and Pain Medicine (22 citations). Mathias Gebauer has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Ulrich Gehring, Matthias Zeiner, Ludwig Zwermann, Martin Dugas, Klaus Steinmeyer, Sylvia Merk, Gerhard Steinbeck, Markus Bleich, Friedgard Julmy and Walter A. Wuillemin. Their work appears in journals such as Genome Research, Molecular Pain, Pflügers Archiv - European Journal of Physiology, Journal of Molecular Medicine and Radiology.

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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