Stefan Kress
- Molecular Biology
- Oncology top 10%
- Cancer Research top 10%
- Health, Toxicology and Mutagenesis top 10%
- Epidemiology
- Co-authors
- Michael SchwarzWilliam F. GreenleeAlbrecht BuchmannJ. SchweizerHasan MukhtarPaul T. StricklandChristian SutterMarkus Schwarz
- Topics
- Cancer-related Molecular Pathways (7 papers)Cancer Genomics and Diagnostics (2 papers)Metabolism, Diabetes, and Cancer (2 papers)
- Cited by
- Cancer ResearchOncologyBiotechnology
- Partner nations
- GermanyNetherlands
In The Last Decade
Stefan Kress
14 papers receiving 632 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 339
- Oncology 305
- Cancer Research 223
- Health, Toxicology and Mutagenesis 76
- Epidemiology 72
Countries citing papers authored by Stefan Kress
This map shows the geographic impact of Stefan Kress'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 Kress with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Kress more than expected).
Fields of papers citing papers by Stefan Kress
This network shows the impact of papers produced by Stefan Kress. 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 Kress. The network helps show where Stefan Kress may publish in the future.
Co-authorship network of co-authors of Stefan Kress
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Kress. A scholar is included among the top collaborators of Stefan Kress 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 Stefan Kress. Stefan Kress is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 16 | |
| 3 | 2 | |
| 4 | 78 | |
| 5 | 56 | |
| 6 | 21 | |
| 7 | Cell-specific regulation of human CYP1A1 and CYP1B1 genes. | 103 |
| 8 | Gamma-irradiation-induced micronuclei from mouse hepatoma cells accumulate high levels of the tumor suppressor protein p53. | 22 |
| 9 | 4 | |
| 10 | 79 | |
| 11 | 19 | |
| 12 | Identification of point mutations at codon 61 of the c-Ha-ras gene by single-strand conformation polymorphism analysis. | 2 |
| 13 | p53 Mutations in human hepatocellular carcinomas from Germany. | 78 |
| 14 | Carcinogen-specific mutational pattern in the p53 gene in ultraviolet B radiation-induced squamous cell carcinomas of mouse skin. | 158 |
About Stefan Kress
Stefan Kress is a scholar working on Oncology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 649 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Cancer Genomics and Diagnostics (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Cancer Research (223 citations), Oncology (305 citations) and Biotechnology (72 citations). Stefan Kress has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Michael Schwarz, William F. Greenlee, Albrecht Buchmann, J. Schweizer, Hasan Mukhtar, Paul T. Strickland, Christian Sutter, Markus Schwarz, R. Bauer-Hofmann and Peter Bannasch. Their work appears in journals such as European Journal of Biochemistry, Cell Death and Differentiation and Carcinogenesis.
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.