Frej Stenbäck
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 5%
- Cell Biology top 5%
- Genetics top 10%
- Co-authors
- Leila RisteliPhilippe ShubikJuha S. TapanainenTommi VaskivuoSaila KauppilaJuha RisteliMarkus J. MäkinenArja Jukkola‐Vuorinen
- Topics
- Cell Adhesion Molecules Research (14 papers)Skin Protection and Aging (11 papers)Ovarian cancer diagnosis and treatment (10 papers)
- Partner nations
- FinlandUnited StatesUnited Kingdom
In The Last Decade
Frej Stenbäck
148 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.1k
- Oncology 737
- Cancer Research 525
- Cell Biology 343
- Genetics 328
Countries citing papers authored by Frej Stenbäck
This map shows the geographic impact of Frej Stenbäck'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 Frej Stenbäck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frej Stenbäck more than expected).
Fields of papers citing papers by Frej Stenbäck
This network shows the impact of papers produced by Frej Stenbäck. 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 Frej Stenbäck. The network helps show where Frej Stenbäck may publish in the future.
Co-authorship network of co-authors of Frej Stenbäck
This figure shows the co-authorship network connecting the top 25 collaborators of Frej Stenbäck. A scholar is included among the top collaborators of Frej Stenbäck 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 Frej Stenbäck. Frej Stenbäck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 44 | |
| 3 | 7 | |
| 4 | 20 | |
| 5 | 96 | |
| 6 | 30 | |
| 7 | 15 | |
| 8 | 26 | |
| 9 | 17 | |
| 10 | 27 | |
| 11 | 6 | |
| 12 | Hepatic drug metabolism and the activities of NADPH generating enzymes and glucose-6-phosphatase in phenobarbital treated genetically obese (ob/ob) mice. | 7 |
| 13 | Accuracy of antemortem diagnosis in the north. An autopsy study. | 8 |
| 14 | Initiation and promotion in young and old animals. Implications for human tumour formation. | 4 |
| 15 | 18 | |
| 16 | 29 | |
| 17 | Applicability of morphometrical methods in clinical cytology | 2 |
| 18 | 11 | |
| 19 | 7 | |
| 20 | Promotion in the morphogenesis of chemically inducible skin tumours. | 3 |
About Frej Stenbäck
Frej Stenbäck is a scholar working on Immunology and Allergy, Dermatology and Reproductive Medicine, having authored 149 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (14 papers), Skin Protection and Aging (11 papers) and Ovarian cancer diagnosis and treatment (10 papers). The work is most often cited by research in Immunology and Allergy (242 citations), Cancer Research (525 citations) and Reproductive Medicine (288 citations). Frej Stenbäck has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Leila Risteli, Philippe Shubik, Juha S. Tapanainen, Tommi Vaskivuo, Saila Kauppila, Juha Risteli, Markus J. Mäkinen, Arja Jukkola‐Vuorinen, Antti Kauppila and Arthur R. Sellakumar. Their work appears in journals such as The Journal of Cell Biology, Circulation Research and Hepatology.
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.