Cornelia Mrazek

548 citations
28 papers · 361 · h-index 12

Impact in

Papers in

Cornelia Mrazek

28 papers receiving 346 citations

Peers

Cornelia Mrazek
Comparison fields: 5 of 91
  • Statistics, Probability and Uncertainty 121
  • Family Practice 26
  • Physiology 238
  • Clinical Biochemistry 39
  • Health Informatics 7
Replace Elisa Piva with:
Elisa Piva Italy
Edmée van Dongen-Lases Netherlands
Elisa Piva Italy
Emma English United Kingdom
Dennis W. Jay United States
Francisco A. Bernabéu-Andréu Spain
Shan Yuan United States
Lieselotte Lennartz Germany
Colleen M. Vrbin United States
Deniz İlhan Topçu Türkiye
Cornelia Mrazek relative to Elisa Piva Italy Elisa Piva's profile →
Citations per field
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Elisa Piva · 1×
Citations per year

Countries citing papers authored by Cornelia Mrazek

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Cornelia Mrazek Line = papers co-authored together Cornelia Mrazek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202050
2 201745
3 201844
4 201626
5 202025
6 201722
7 201516
8 201714
9 201914
10 201812
11 202211
12 201011
13 202111
14 201511
15 20117
16 20197
17 20177
18 20226
19 20195
20 20174

About Cornelia Mrazek

Cornelia Mrazek is a scholar working on Physiology, Statistics, Probability and Uncertainty, General Health Professions, Epidemiology and Hematology, having authored 28 papers that have together received 361 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (16 papers), Meta-analysis and systematic reviews (9 papers), Healthcare cost, quality, practices (4 papers), Blood transfusion and management (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Fungal Infections and Studies (2 papers) and Renal function and acid-base balance (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (121 citations), Family Practice (26 citations), Physiology (238 citations), Clinical Biochemistry (39 citations) and Health Informatics (7 citations). Cornelia Mrazek has collaborated with scholars based in Austria, Italy and Germany. Frequent co-authors include Elisabeth Haschke‐Becher, Janne Cadamuro, Thomas K. Felder, Hannes Oberkofler, Ulrike Kipman, Giuseppe Lippi, Martin H. Keppel, Alexander Meyer, Martin Fiedler and Ana-Maria Šimundić. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Biochemia Medica, Current Infectious Disease Reports, Clinical Biochemistry 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.

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