Piet J. Pretorius
- Cancer Research top 2%
- Molecular Biology
- Oncology
- Pulmonary and Respiratory Medicine
- Pathology and Forensic Medicine top 10%
- Co-authors
- Abel J. BronkhorstJanine AucampManiesh van der VaartChristoffel P. S. BadenhorstJohannes F. WentzelEtresia van DykDu PlessisAngélique Lewies
- Topics
- Cancer Genomics and Diagnostics (15 papers)Renal and related cancers (7 papers)Prenatal Screening and Diagnostics (7 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsAnnals of the New York Academy of SciencesCellular and Molecular Life Sciences
- Partner nations
- South AfricaGermanyDenmark
In The Last Decade
Piet J. Pretorius
22 papers receiving 990 citations
Peers
Comparison fields: 5 of 98
- Cancer Research 710
- Molecular Biology 588
- Oncology 232
- Pulmonary and Respiratory Medicine 172
- Pathology and Forensic Medicine 136
Countries citing papers authored by Piet J. Pretorius
This map shows the geographic impact of Piet J. 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 Piet J. Pretorius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piet J. Pretorius more than expected).
Fields of papers citing papers by Piet J. Pretorius
This network shows the impact of papers produced by Piet J. 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 Piet J. Pretorius. The network helps show where Piet J. Pretorius may publish in the future.
Co-authorship network of co-authors of Piet J. Pretorius
This figure shows the co-authorship network connecting the top 25 collaborators of Piet J. Pretorius. A scholar is included among the top collaborators of Piet J. 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 Piet J. Pretorius. Piet J. 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 | 34 | |
| 2 | 47 | |
| 3 | 5 | |
| 4 | 31 | |
| 5 | 15 | |
| 6 | 15 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 36 | |
| 12 | 144 | |
| 13 | 5 | |
| 14 | 132 | |
| 15 | 78 | |
| 16 | 1 | |
| 17 | 26 | |
| 18 | 160 | |
| 19 | 14 | |
| 20 | 11 |
About Piet J. Pretorius
Piet J. Pretorius is a scholar working on Cancer Research, Transplantation and Pediatrics, Perinatology and Child Health, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (15 papers), Renal and related cancers (7 papers) and Prenatal Screening and Diagnostics (7 papers). The work is most often cited by research in Cancer Research (710 citations), Molecular Biology (588 citations) and Oncology (232 citations). Piet J. Pretorius has collaborated with scholars based in South Africa, Germany and Denmark. Frequent co-authors include Abel J. Bronkhorst, Janine Aucamp, Maniesh van der Vaart, Christoffel P. S. Badenhorst, Johannes F. Wentzel, Etresia van Dyk, Du Plessis, Angélique Lewies, Francois H. van der Westhuizen and Dmitry V. Semenov. Their work appears in journals such as Biochemical and Biophysical Research Communications, Annals of the New York Academy of Sciences and Cellular and Molecular Life Sciences.
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.