Jan Skouv
- Molecular Biology top 10%
- Genetics top 10%
- Cancer Research top 10%
- Oncology
- Surgery
- Co-authors
- Jesper WengelAlexei A. KoshkinJohanna KelaTomas HökfeltMichael H. OssipovJosephine LaiFrank PorrecaLiam Good
- Topics
- Estrogen and related hormone effects (5 papers)Cancer, Hypoxia, and Metabolism (4 papers)RNA and protein synthesis mechanisms (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- DenmarkUnited StatesSweden
In The Last Decade
Jan Skouv
23 papers receiving 941 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 738
- Genetics 194
- Cancer Research 183
- Oncology 110
- Surgery 67
Countries citing papers authored by Jan Skouv
This map shows the geographic impact of Jan Skouv'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 Jan Skouv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Skouv more than expected).
Fields of papers citing papers by Jan Skouv
This network shows the impact of papers produced by Jan Skouv. 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 Jan Skouv. The network helps show where Jan Skouv may publish in the future.
Co-authorship network of co-authors of Jan Skouv
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Skouv. A scholar is included among the top collaborators of Jan Skouv 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 Jan Skouv. Jan Skouv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 28 | |
| 3 | 34 | |
| 4 | 479 | |
| 5 | 66 | |
| 6 | 11 | |
| 7 | 39 | |
| 8 | 39 | |
| 9 | Endothelial cell nitric oxide synthase in peritumoral microvessels is a favorable prognostic indicator in premenopausal breast cancer patients. | 32 |
| 10 | 57 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | Gangliosides in human urothelial cell lines of different transformed phenotypes: the effect of v-raf-oncogene transfection. | 1 |
| 16 | 7 | |
| 17 | 5 | |
| 18 | Detection of oncogene mRNA sequences in cultured cells by in situ hybridization. | 2 |
| 19 | 14 | |
| 20 | 47 |
About Jan Skouv
Jan Skouv is a scholar working on Cancer Research, Genetics and Oncology, having authored 23 papers that have together received 981 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Cancer, Hypoxia, and Metabolism (4 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Cancer Research (183 citations), Molecular Biology (738 citations) and Genetics (194 citations). Jan Skouv has collaborated with scholars based in Denmark, United States and Sweden. Frequent co-authors include Jesper Wengel, Alexei A. Koshkin, Johanna Kela, Tomas Hökfelt, Michael H. Ossipov, Josephine Lai, Frank Porreca, Liam Good, Peter Salmi and Henrik Oerum. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.