Mias Pretorius
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 10%
- Nephrology top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Co-authors
- Nancy J. BrownFrederic T. BillingsChang YuDouglas E. VaughanStephen K. BallL. Jackson RobertsJohn G. ByrneMichael R. Petracek
- Topics
- Blood Coagulation and Thrombosis Mechanisms (10 papers)Cardiac, Anesthesia and Surgical Outcomes (10 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (10 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Mias Pretorius
58 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Cardiology and Cardiovascular Medicine 707
- Surgery 424
- Nephrology 330
- Endocrinology, Diabetes and Metabolism 252
- Molecular Biology 177
Countries citing papers authored by Mias Pretorius
This map shows the geographic impact of Mias Pretorius'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 Mias Pretorius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mias Pretorius more than expected).
Fields of papers citing papers by Mias Pretorius
This network shows the impact of papers produced by Mias Pretorius. 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 Mias Pretorius. The network helps show where Mias Pretorius may publish in the future.
Co-authorship network of co-authors of Mias Pretorius
This figure shows the co-authorship network connecting the top 25 collaborators of Mias Pretorius. A scholar is included among the top collaborators of Mias Pretorius based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mias Pretorius. Mias Pretorius is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 8 | |
| 4 | 19 | |
| 5 | 4 | |
| 6 | 26 | |
| 7 | 32 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 21 | |
| 11 | 15 | |
| 12 | 12 | |
| 13 | 29 | |
| 14 | 12 | |
| 15 | 15 | |
| 16 | 69 | |
| 17 | 9 | |
| 18 | Evaluation of left ventricular enlargement in the lateral position of the chest using the Hoffman and Rigler sign : cardiovascular topics | 2 |
| 19 | 30 | |
| 20 | Intensive short course chemotherapy in the management of tuberculous meningitis. | 62 |
About Mias Pretorius
Mias Pretorius is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Critical Care and Intensive Care Medicine, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (10 papers), Cardiac, Anesthesia and Surgical Outcomes (10 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (10 papers). The work is most often cited by research in Nephrology (330 citations), Critical Care and Intensive Care Medicine (168 citations) and Cardiology and Cardiovascular Medicine (707 citations). Mias Pretorius has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Nancy J. Brown, Frederic T. Billings, Chang Yu, Douglas E. Vaughan, Stephen K. Ball, L. Jackson Roberts, John G. Byrne, Michael R. Petracek, T. Alp İkizler and James M. Luther. Their work appears in journals such as Circulation, PLoS ONE and Free Radical Biology and Medicine.
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.