Stefan Preković

2.2k citations
48 papers · 1.3k · 1 hit paper · h-index 16

Impact in

Papers in

    • Genomics and Chromatin Dynamics 7
    • Epigenetics and DNA Methylation 7
    • Cancer Cells and Metastasis 6
    • HER2/EGFR in Cancer Research 3

Stefan Preković

44 papers receiving 1.3k citations

Hit Papers

Loss of p53 triggers WNT-dependent systemic inflammation to drive breast cancer metastasis 2019 · 361 citations
3610+2+4Years since publication100200300

Peers

Stefan Preković
Comparison fields: 5 of 98
  • Cancer Research 276
  • Pulmonary and Respiratory Medicine 492
  • Oncology 348
  • Molecular Biology 678
  • Endocrinology, Diabetes and Metabolism 161
Replace Jean Schneikert with:
Jean Schneikert Germany
Julia Hoefer Austria
Erika Krasnickas Keeton United States
Nicholas C. D’Amato United States
Hartwig Hennekes Germany
Stephen C. Hendy Canada
Françoise Révillion France
Muriel Busson France
Joana Couto Portugal
Jing Ni United States
Stefan Preković relative to Jean Schneikert Germany Jean Schneikert's profile →
Citations per field
00.5×4.0×
Jean Schneikert · 1×
Citations per year

Countries citing papers authored by Stefan Preković

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Stefan Preković Line = papers co-authored together Stefan Preković links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2019361
2 2017140
3 2014107
4 2014103
5 201680
6 201945
7 201842
8 201439
9 202135
10 201433
11 201628
12 201826
13 201925
14 201925
15 201919
16 202118
17 201715
18 202214
19 201713
20 202011

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), Cancer, Lipids, and Metabolism (7 papers), Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (7 papers), Cancer Cells and Metastasis (6 papers), Hormonal and reproductive studies (4 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Cancer Research (276 citations), Pulmonary and Respiratory Medicine (492 citations), Oncology (348 citations), Molecular Biology (678 citations) and Endocrinology, Diabetes and Metabolism (161 citations). Stefan Preković has collaborated with scholars based in Netherlands, Belgium and United Kingdom. Frequent co-authors include Frank Claessens, Christine Helsen, Steven Joniau, Thomas Van den Broeck, Wilbert Zwart, Hendrik Van Poppel, Lien Spans, Lodewyk F.A. Wessels, Arnout Voet and Adriaan B. Houtsmuller. Their work appears in journals such as Endocrine Related Cancer, Nucleic Acids Research, Oncogene, Scientific Reports and Nature Communications.

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.

Explore authors with similar magnitude of impact