Simon Auer
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
- Urinary Tract Infections Management
Papers in
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- Clinical Laboratory Practices and Quality Control 2
- Adipose Tissue and Metabolism 2
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- Urinary Tract Infections Management 2
- Co-authors
- Thomas Klaus Felder (15 shared papers)Wolfgang Patsch (10 shared papers)Markus Hell (1 shared paper)Elisabeth Haschke‐Becher (11 shared papers)Elmar Stephan Aigner (6 shared papers)Hannes Oberkofler (11 shared papers)Selma M. Soyal (8 shared papers)Christian Datz (3 shared papers)
In The Last Decade
Simon Auer
20 papers receiving 729 citations
Peers
Comparison fields: 5 of 84
- Molecular Medicine 48
- Epidemiology 254
- Applied Microbiology and Biotechnology 14
- Physiology 158
- Hematology 60
Countries citing papers authored by Simon Auer
This map shows the geographic impact of Simon Auer'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 Simon Auer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Auer more than expected).
Fields of papers citing papers by Simon Auer
This network shows the impact of papers produced by Simon Auer. 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 Simon Auer. The network helps show where Simon Auer may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Auer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 200 | |
| 2 | HEART-RATE RECOVERY IMMEDIATELY AFTER EXERCISE AS A PREDICTOR OF MORTALITY | 2012 | 110 |
| 3 | 2010 | 89 | |
| 4 | 2012 | 83 | |
| 5 | 2012 | 59 | |
| 6 | 2018 | 46 | |
| 7 | 2016 | 36 | |
| 8 | 2017 | 32 | |
| 9 | 2011 | 32 | |
| 10 | 2019 | 15 | |
| 11 | 2012 | 15 | |
| 12 | 2017 | 10 | |
| 13 | 2019 | 7 | |
| 14 | 2015 | 6 | |
| 15 | 2016 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2020 | 3 | |
| 18 | [Surgery of Crohn's disease]. | 1973 | 2 |
| 19 | 2016 | 2 | |
| 20 | 2022 | 1 |
About Simon Auer
Simon Auer is a scholar working on Physiology, Epidemiology, Molecular Biology, Emergency Medicine and Hematology, having authored 21 papers that have together received 760 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (2 papers), Iron Metabolism and Disorders (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Urinary Tract Infections Management (2 papers), Clinical Laboratory Practices and Quality Control (2 papers), Adipose Tissue and Metabolism (2 papers), Heart rate and cardiovascular health (1 paper) and Kidney Stones and Urolithiasis Treatments (1 paper). The work is most often cited by research in Molecular Medicine (48 citations), Epidemiology (254 citations), Applied Microbiology and Biotechnology (14 citations), Physiology (158 citations) and Hematology (60 citations). Simon Auer has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Thomas Klaus Felder, Wolfgang Patsch, Markus Hell, Elisabeth Haschke‐Becher, Elmar Stephan Aigner, Hannes Oberkofler, Selma M. Soyal, Christian Datz, Bernhard Paulweber and Andreas Stadlmayr. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Journal of science and medicine in sport, Molecular Metabolism, The American Journal of Gastroenterology and Clinica Chimica Acta.
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.