E. Prætorius
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Renal function and acid-base balance
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
-
- Gout, Hyperuricemia, Uric Acid 4
- Co-authors
- Henrik E. Poulsen (3 shared papers)Hemming Poulsen (1 shared paper)Kay Overgaard‐Hansen (1 shared paper)Søren Jørgensen (1 shared paper)Peer Grande (1 shared paper)H Gerhartz (1 shared paper)
- Journals
- Scandinavian Journal of Clinical and Laboratory Investigation (3 papers)Nature (1 paper)PubMed (4 papers)Acta Medica Scandinavica (1 paper)Acta Pharmacologica et Toxicologica (1 paper)
- Partner nations
- DenmarkUnited States
In The Last Decade
E. Prætorius
11 papers receiving 304 citations
Peers
Comparison fields: 5 of 88
- Nephrology 141
- Clinical Biochemistry 58
- Small Animals 24
- Anatomy 4
- Rheumatology 36
Countries citing papers authored by E. Prætorius
This map shows the geographic impact of E. Prætorius'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 E. Prætorius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Prætorius more than expected).
Fields of papers citing papers by E. Prætorius
This network shows the impact of papers produced by E. Prætorius. 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 E. Prætorius. The network helps show where E. Prætorius may publish in the future.
Co-authors
The 6 scholars most cited alongside E. Prætorius, 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 | 1953 | 266 | |
| 2 | 1955 | 41 | |
| 3 | 1954 | 33 | |
| 4 | 1951 | 25 | |
| 5 | 1957 | 23 | |
| 6 | 1957 | 20 | |
| 7 | [Creatine kinase MB-isoenzyme determination in the diagnosis of acute myocardial infarction]. | 1978 | 1 |
| 8 | 1952 | 1 | |
| 9 | [SURVIVAL TIME AND ABILITY TO WORK IN HEMOBLASTOSES TREATED BY CHEMOTHERAPY]. | 1963 | 1 |
| 10 | [On the prognosis of hemoblastoses]. | 1962 | 1 |
| 11 | THE VALUE OF STREPTOKINASE-INDUCED FIBRINOLYSIS IN THE TREATMENT OF ACUTE MYOCARDIAL INFARCTION. | 1964 | 1 |
About E. Prætorius
E. Prætorius is a scholar working on Nephrology, Pathology and Forensic Medicine, Infectious Diseases, Surgery and Small Animals, having authored 11 papers that have together received 413 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (4 papers), Neonatal Health and Biochemistry (1 paper), Erythrocyte Function and Pathophysiology (1 paper), Veterinary Medicine and Surgery (1 paper), Clostridium difficile and Clostridium perfringens research (1 paper), Forensic and Genetic Research (1 paper), Animal health and immunology (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Nephrology (141 citations), Clinical Biochemistry (58 citations), Small Animals (24 citations), Anatomy (4 citations) and Rheumatology (36 citations). E. Prætorius has collaborated with scholars based in Denmark and United States. Frequent co-authors include Henrik E. Poulsen, Hemming Poulsen, Kay Overgaard‐Hansen, Søren Jørgensen, Peer Grande and H Gerhartz. Their work appears in journals such as Scandinavian Journal of Clinical and Laboratory Investigation, Nature, PubMed, Acta Medica Scandinavica and Acta Pharmacologica et Toxicologica.
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.