Berit Mathiesen
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism 21
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- MRI in cancer diagnosis 14
- Advanced MRI Techniques and Applications 11
- Radiomics and Machine Learning in Medical Imaging 3
- Oncology top 10%
- Cancer Cells and Metastasis 4
- Lymphatic System and Diseases 3
- Molecular Biology top 10%
- Angiogenesis and VEGF in Cancer 10
- Obstetrics and Gynecology top 5%
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- Nanoplatforms for cancer theranostics 7
- Co-authors
- Einar K. RofstadKanthi GalappathiT EgelandBjørn A. GraffKristine GulliksrudJon‐Vidar GaustadHeidi RasmussenChristine Ellingsen
- Journals
- International Journal of Radiation Oncology*Biology*Physics (4 papers)Neoplasia (4 papers)Radiotherapy and Oncology (4 papers)
- Partner nations
- Norway
In The Last Decade
Berit Mathiesen
30 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cancer Research 853
- Radiology, Nuclear Medicine and Imaging 474
- Oncology 406
- Molecular Biology 831
- Obstetrics and Gynecology 91
Countries citing papers authored by Berit Mathiesen
This map shows the geographic impact of Berit Mathiesen'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 Berit Mathiesen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berit Mathiesen more than expected).
Fields of papers citing papers by Berit Mathiesen
This network shows the impact of papers produced by Berit Mathiesen. 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 Berit Mathiesen. The network helps show where Berit Mathiesen may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Berit Mathiesen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 5 | |
| 2 | 2014 | 109 | |
| 3 | 2013 | 38 | |
| 4 | 2012 | 15 | |
| 5 | 2012 | 23 | |
| 6 | 2011 | 23 | |
| 7 | 2011 | 31 | |
| 8 | 2011 | 27 | |
| 9 | 2011 | 55 | |
| 10 | 2010 | 135 | |
| 11 | 2010 | 32 | |
| 12 | 2010 | 17 | |
| 13 | 2009 | 35 | |
| 14 | 2009 | 22 | |
| 15 | 2008 | 14 | |
| 16 | 2008 | 19 | |
| 17 | 2007 | 24 | |
| 18 | 2006 | 36 | |
| 19 | 2004 | 21 | |
| 20 | Pulmonary and lymph node metastasis is associated with primary tumor interstitial fluid pressure in human melanoma xenografts. | 2002 | 93 |
About Berit Mathiesen
Berit Mathiesen is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (21 papers), MRI in cancer diagnosis (14 papers), Advanced MRI Techniques and Applications (11 papers), Angiogenesis and VEGF in Cancer (10 papers), Nanoplatforms for cancer theranostics (7 papers), Cancer Cells and Metastasis (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Lymphatic System and Diseases (3 papers). The work is most often cited by research in Cancer Research (853 citations), Radiology, Nuclear Medicine and Imaging (474 citations) and Oncology (406 citations). Berit Mathiesen has collaborated with scholars based in Norway. Frequent co-authors include Einar K. Rofstad, Kanthi Galappathi, T Egeland, Bjørn A. Graff, Kristine Gulliksrud, Jon‐Vidar Gaustad, Heidi Rasmussen, Christine Ellingsen, Thomas Bøhmer and Tord Hompland. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Neoplasia, Radiotherapy and Oncology, Cancer Research and Magnetic Resonance in Medicine.
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.