Beat Schuler
Impact in
- Physiology top 10%
- Erythrocyte Function and Pathophysiology
- Adipose Tissue and Metabolism
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- Cardiovascular and exercise physiology
Papers in
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- Blood properties and coagulation 3
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- Erythrocyte Function and Pathophysiology 2
- Co-authors
- Max Gassmann (7 shared papers)Johannes Vogel (7 shared papers)Margarete Arras (6 shared papers)Carsten Lundby (2 shared papers)Andreas Rettich (2 shared papers)J. Thomsen (1 shared paper)Stephan Sylvest Keller (2 shared papers)Stephan M. Huber (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Acta Physiologica (1 paper)BMC Veterinary Research (1 paper)Experimental Brain Research (1 paper)The FASEB Journal (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Beat Schuler
10 papers receiving 409 citations
Peers
Comparison fields: 5 of 79
- Physiology 190
- Physiology 27
- Complementary and alternative medicine 39
- Hematology 49
- Genetics 108
Countries citing papers authored by Beat Schuler
This map shows the geographic impact of Beat Schuler'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 Beat Schuler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beat Schuler more than expected).
Fields of papers citing papers by Beat Schuler
This network shows the impact of papers produced by Beat Schuler. 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 Beat Schuler. The network helps show where Beat Schuler may publish in the future.
Co-authors
The 25 scholars most cited alongside Beat Schuler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 127 | |
| 2 | 2009 | 91 | |
| 3 | 2007 | 63 | |
| 4 | 2012 | 29 | |
| 5 | 2009 | 27 | |
| 6 | 2007 | 26 | |
| 7 | 2010 | 26 | |
| 8 | 2013 | 18 | |
| 9 | 2014 | 7 | |
| 10 | 1973 | 1 | |
| 11 | Rate-control system /RCS/ for zero-gravity experiments | 1976 | 0 |
About Beat Schuler
Beat Schuler is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Complementary and alternative medicine, Hematology and Aerospace Engineering, having authored 11 papers that have together received 415 indexed citations. Recurring topics across this work include Blood properties and coagulation (3 papers), Erythropoietin and Anemia Treatment (2 papers), Cardiovascular and exercise physiology (2 papers), Erythrocyte Function and Pathophysiology (2 papers), 3D Printing in Biomedical Research (2 papers), Inertial Sensor and Navigation (1 paper), Animal testing and alternatives (1 paper) and Eicosanoids and Hypertension Pharmacology (1 paper). The work is most often cited by research in Physiology (190 citations), Physiology (27 citations), Complementary and alternative medicine (39 citations), Hematology (49 citations) and Genetics (108 citations). Beat Schuler has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Max Gassmann, Johannes Vogel, Margarete Arras, Carsten Lundby, Andreas Rettich, J. Thomsen, Stephan Sylvest Keller, Stephan M. Huber, Ravi S. Kasinathan and Saisudha Koka. Their work appears in journals such as Proceedings of the National Academy of Sciences, Acta Physiologica, BMC Veterinary Research, Experimental Brain Research and The FASEB Journal.
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.