Cornelia Mrazek
Impact in
-
- Meta-analysis and systematic reviews
- Reliability and Agreement in Measurement
- Family Practice top 10%
- Clinical Reasoning and Diagnostic Skills
Papers in
- Physiology 13
- Clinical Laboratory Practices and Quality Control 13
-
- Meta-analysis and systematic reviews 5
- Co-authors
- Elisabeth Haschke‐Becher (21 shared papers)Janne Cadamuro (23 shared papers)Thomas K. Felder (20 shared papers)Hannes Oberkofler (16 shared papers)Ulrike Kipman (9 shared papers)Giuseppe Lippi (5 shared papers)Martin H. Keppel (9 shared papers)Alexander Meyer (6 shared papers)
In The Last Decade
Cornelia Mrazek
28 papers receiving 361 citations
Peers
Comparison fields: 5 of 86
- Statistics, Probability and Uncertainty 80
- Family Practice 16
- Physiology 210
- Clinical Biochemistry 27
- Medical Laboratory Technology 4
Countries citing papers authored by Cornelia Mrazek
This map shows the geographic impact of Cornelia Mrazek'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 Cornelia Mrazek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cornelia Mrazek more than expected).
Fields of papers citing papers by Cornelia Mrazek
This network shows the impact of papers produced by Cornelia Mrazek. 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 Cornelia Mrazek. The network helps show where Cornelia Mrazek may publish in the future.
Co-authors
The 25 scholars most cited alongside Cornelia Mrazek, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2017 | 46 | |
| 3 | 2018 | 46 | |
| 4 | 2016 | 28 | |
| 5 | 2020 | 26 | |
| 6 | 2017 | 22 | |
| 7 | 2015 | 16 | |
| 8 | 2017 | 15 | |
| 9 | 2019 | 14 | |
| 10 | 2018 | 12 | |
| 11 | 2015 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2010 | 11 | |
| 15 | 2011 | 9 | |
| 16 | 2019 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2020 | 5 |
About Cornelia Mrazek
Cornelia Mrazek is a scholar working on Physiology, Statistics, Probability and Uncertainty, Epidemiology, Hematology and Infectious Diseases, having authored 28 papers that have together received 376 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (13 papers), Meta-analysis and systematic reviews (5 papers), Plant Pathogens and Fungal Diseases (2 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers), Antifungal resistance and susceptibility (2 papers), Fungal Infections and Studies (2 papers), Blood transfusion and management (2 papers) and Bacterial Identification and Susceptibility Testing (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (80 citations), Family Practice (16 citations), Physiology (210 citations), Clinical Biochemistry (27 citations) and Medical Laboratory Technology (4 citations). Cornelia Mrazek has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Elisabeth Haschke‐Becher, Janne Cadamuro, Thomas K. Felder, Hannes Oberkofler, Ulrike Kipman, Giuseppe Lippi, Martin H. Keppel, Alexander Meyer, Ana-Maria Šimundić and Martin Fiedler. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Biochemia Medica, Clinica Chimica Acta, Current Infectious Disease Reports and Clinical Biochemistry.
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.