Eva‐Katrine Aarnes
- Molecular Biology
- Cancer Research top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Pathology and Forensic Medicine top 10%
- Co-authors
- Heidi LyngGunnar B. KristensenAnne K. JonassenEirik MalinenChristina S. FjeldboLars BreivikMalin LandoJelena Mrdalj
- Topics
- Cancer, Hypoxia, and Metabolism (7 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)MRI in cancer diagnosis (5 papers)
- Partner nations
- NorwayUnited StatesNetherlands
In The Last Decade
Eva‐Katrine Aarnes
21 papers receiving 654 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 265
- Cancer Research 260
- Radiology, Nuclear Medicine and Imaging 167
- Pulmonary and Respiratory Medicine 119
- Pathology and Forensic Medicine 116
Countries citing papers authored by Eva‐Katrine Aarnes
This map shows the geographic impact of Eva‐Katrine Aarnes'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 Eva‐Katrine Aarnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva‐Katrine Aarnes more than expected).
Fields of papers citing papers by Eva‐Katrine Aarnes
This network shows the impact of papers produced by Eva‐Katrine Aarnes. 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 Eva‐Katrine Aarnes. The network helps show where Eva‐Katrine Aarnes may publish in the future.
Co-authorship network of co-authors of Eva‐Katrine Aarnes
This figure shows the co-authorship network connecting the top 25 collaborators of Eva‐Katrine Aarnes. A scholar is included among the top collaborators of Eva‐Katrine Aarnes 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 Eva‐Katrine Aarnes. Eva‐Katrine Aarnes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 10 | |
| 3 | 33 | |
| 4 | 20 | |
| 5 | 15 | |
| 6 | 19 | |
| 7 | 69 | |
| 8 | 26 | |
| 9 | 1 | |
| 10 | 41 | |
| 11 | 32 | |
| 12 | 44 | |
| 13 | 14 | |
| 14 | 21 | |
| 15 | 1 | |
| 16 | 37 | |
| 17 | 113 | |
| 18 | 4 | |
| 19 | 109 | |
| 20 | 36 |
About Eva‐Katrine Aarnes
Eva‐Katrine Aarnes is a scholar working on Cancer Research, Developmental Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 658 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and MRI in cancer diagnosis (5 papers). The work is most often cited by research in Cancer Research (260 citations), Developmental Neuroscience (70 citations) and Emergency Medicine (77 citations). Eva‐Katrine Aarnes has collaborated with scholars based in Norway, United States and Netherlands. Frequent co-authors include Heidi Lyng, Gunnar B. Kristensen, Anne K. Jonassen, Eirik Malinen, Christina S. Fjeldbo, Lars Breivik, Malin Lando, Jelena Mrdalj, Tord Hompland and Ruth Holm. Their work appears in journals such as PLoS ONE, Cancer Research and Clinical Cancer Research.
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.