Carel Pretorius

4.4k citations
100 papers · 2.5k indexed · h-index 29

Impact in

Papers in

Carel Pretorius

97 papers receiving 2.5k citations

Peers

Carel Pretorius
Comparison fields: 5 of 153
  • Infectious Diseases 808
  • Virology 132
  • Epidemiology 914
  • Modeling and Simulation 88
  • Endocrinology, Diabetes and Metabolism 248
Replace SeyedAhmad SeyedAlinaghi with:
SeyedAhmad SeyedAlinaghi Iran
Emily L. Webb United Kingdom
Mitsuaki Hosoya Japan
Yuping Wang China
Jean Joël Bigna Cameroon
Ildefonso Hernández‐Aguado Spain
Michael Silverman Canada
Gerald B. Sharp United States
Ali Mirzazadeh Iran
Jin‐Wen Song China
Carel Pretorius relative to SeyedAhmad SeyedAlinaghi Iran SeyedAhmad SeyedAlinaghi's profile →
Citations per field
00.5×3.4×
SeyedAhmad SeyedAlinaghi · 1×
Citations per year

Countries citing papers authored by Carel Pretorius

Since Specialization
Citations

This map shows the geographic impact of Carel 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 Carel Pretorius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carel Pretorius more than expected).

Fields of papers citing papers by Carel Pretorius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carel 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 Carel Pretorius. The network helps show where Carel Pretorius may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Carel Pretorius, 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 Carel Pretorius Line = papers co-authored together Carel Pretorius links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20233
4 20235
5 202311
6 20232
7 20191
8 201711
9 20161
10 20151
11
Predicting clinical outcomes in chronic liver disease: the ELF test is superior to histology and simple scores
20151
12 20158
13 201540
14 201432
15 20131
16 20135
17 201232
18 201128
19 2010100
20
Utilisation of pathology procedures in the South African private pathology sector between 2003 and 2005.
20074

About Carel Pretorius

Carel Pretorius is a scholar working on Infectious Diseases, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Epidemiology and Microbiology, having authored 100 papers that have together received 2.5k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (16 papers), HIV/AIDS Research and Interventions (13 papers), HIV, Drug Use, Sexual Risk (9 papers), Adrenal Hormones and Disorders (9 papers), Hormonal Regulation and Hypertension (8 papers), Tuberculosis Research and Epidemiology (7 papers), Cardiac Imaging and Diagnostics (6 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). The work is most often cited by research in Infectious Diseases (808 citations), Virology (132 citations), Epidemiology (914 citations), Modeling and Simulation (88 citations) and Endocrinology, Diabetes and Metabolism (248 citations). Carel Pretorius has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Jacobus Ungerer, Brett McWhinney, John Stover, Brian Williams, Scott Briscoe, Melanie Bertram, Jillian R. Tate, Daniela Moro, Dan Chisholm and Jürgen Rehm. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinical Chemistry, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Clinica Chimica Acta and The Journal of Clinical Endocrinology & Metabolism.

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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