Mathias Gebauer

1.2k citations
15 papers · 945 · h-index 12

Impact in

Papers in

Mathias Gebauer

13 papers receiving 929 citations

Peers

Mathias Gebauer
Comparison fields: 5 of 100
  • Cardiology and Cardiovascular Medicine 335
  • Internal Medicine 39
  • Molecular Biology 472
  • Rheumatology 94
  • Anesthesiology and Pain Medicine 30
Replace Attila Kiss with:
Attila Kiss Austria
Anne Jämsä Sweden
Robert C. Lyon United States
Cristina E. Molina Germany
Paula-Anahi Arias-Loza Germany
Aikaterini Gatsiou Germany
Sudarsan Rajan United States
John Saltis Australia
Mitsuhiro Matsuo Japan
Mathias Gebauer relative to Attila Kiss Austria Attila Kiss's profile →
Citations per field
00.5×7.5×
Attila Kiss · 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

15 of 15 papers shown
#Work
1 2005172
2 2000155
3 2005120
4 2010102
5 199786
6 200584
7 200466
8 199846
9 199835
10 200933
11 201520
12 200519
13 20017
14 20230
15 20130

About Mathias Gebauer

Mathias Gebauer is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Oncology and Rheumatology, having authored 15 papers that have together received 945 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Heat shock proteins research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Pain Mechanisms and Treatments (2 papers), RNA and protein synthesis mechanisms (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (335 citations), Internal Medicine (39 citations), Molecular Biology (472 citations), Rheumatology (94 citations) and Anesthesiology and Pain Medicine (30 citations). Mathias Gebauer has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Ulrich Gehring, Matthias Zeiner, Martin Dugas, Sylvia Merk, Markus Bleich, Klaus Steinmeyer, Gerhard Steinbeck, Ludwig Zwermann, Walter A. Wuillemin and Beat J. Meyer. Their work appears in journals such as Genome Research, Pflügers Archiv - European Journal of Physiology, Journal of Clinical Oncology, Radiology and FEBS Letters.

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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