Stefan Preković
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
-
- Prostate Cancer Treatment and Research
Papers in
-
- Epigenetics and DNA Methylation 7
- Genomics and Chromatin Dynamics 7
- Ubiquitin and proteasome pathways 3
- Oncology 18
- Cancer Cells and Metastasis 5
- Co-authors
- Frank Claessens (13 shared papers)Christine Helsen (12 shared papers)Wilbert Zwart (17 shared papers)Thomas Van den Broeck (12 shared papers)Steven Joniau (11 shared papers)Hendrik Van Poppel (3 shared papers)Lien Spans (5 shared papers)Arnout Voet (2 shared papers)
- Journals
- Endocrine Related Cancer (5 papers)Nucleic Acids Research (3 papers)Oncogene (3 papers)Cancers (2 papers)Nature (2 papers)
- Partner nations
- NetherlandsBelgiumUnited Kingdom
In The Last Decade
Stefan Preković
47 papers receiving 1.3k citations
Stefan Preković's Hit Papers
Peers
Comparison fields: 5 of 96
- Cancer Research 245
- Pulmonary and Respiratory Medicine 463
- Oncology 307
- Endocrinology, Diabetes and Metabolism 147
- Molecular Biology 637
Countries citing papers authored by Stefan Preković
This map shows the geographic impact of Stefan Preković'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 Stefan Preković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Preković more than expected).
Fields of papers citing papers by Stefan Preković
This network shows the impact of papers produced by Stefan Preković. 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 Stefan Preković. The network helps show where Stefan Preković may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Preković, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Loss of p53 triggers WNT-dependent systemic inflammation to drive breast cancer metastasis Hit paper breakdown → | 2019 | 369 |
| 2 | 2017 | 143 | |
| 3 | 2014 | 108 | |
| 4 | 2014 | 103 | |
| 5 | 2016 | 82 | |
| 6 | 2019 | 46 | |
| 7 | 2018 | 43 | |
| 8 | 2021 | 40 | |
| 9 | 2014 | 39 | |
| 10 | 2014 | 33 | |
| 11 | 2016 | 29 | |
| 12 | 2019 | 27 | |
| 13 | 2018 | 26 | |
| 14 | 2019 | 24 | |
| 15 | 2019 | 19 | |
| 16 | 2021 | 19 | |
| 17 | 2022 | 16 | |
| 18 | 2017 | 15 | |
| 19 | 2017 | 13 | |
| 20 | 2024 | 12 |
About Stefan Preković
Stefan Preković is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Genetics and Cancer Research, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (13 papers), Estrogen and related hormone effects (8 papers), Epigenetics and DNA Methylation (7 papers), Genomics and Chromatin Dynamics (7 papers), Cancer, Lipids, and Metabolism (6 papers), Cancer Cells and Metastasis (5 papers), Hormonal and reproductive studies (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cancer Research (245 citations), Pulmonary and Respiratory Medicine (463 citations), Oncology (307 citations), Endocrinology, Diabetes and Metabolism (147 citations) and Molecular Biology (637 citations). Stefan Preković has collaborated with scholars based in Netherlands, Belgium and United Kingdom. Frequent co-authors include Frank Claessens, Christine Helsen, Wilbert Zwart, Thomas Van den Broeck, Steven Joniau, Hendrik Van Poppel, Lien Spans, Arnout Voet, Lodewyk F.A. Wessels and Isabel Mayayo‐Peralta. Their work appears in journals such as Endocrine Related Cancer, Nucleic Acids Research, Oncogene, Cancers and Nature.
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.