Marit Valla
Impact in
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- Breast Cancer Treatment Studies
- Cancer-related molecular mechanisms research
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
Papers in
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- Breast Cancer Treatment Studies 10
- Cancer Genomics and Diagnostics 5
- Oncology 8
- HER2/EGFR in Cancer Research 3
- Global Cancer Incidence and Screening 3
- Co-authors
- Anna M. Bofin (16 shared papers)Signe Opdahl (10 shared papers)Borgny Ytterhus (11 shared papers)Monica Jernberg Engstrøm (8 shared papers)Bjørn Hagen (2 shared papers)Olav A. Haugen (2 shared papers)Lars A. Akslen (6 shared papers)Pål Romundstad (1 shared paper)
- Journals
- Breast Cancer Research and Treatment (7 papers)BMC Cancer (2 papers)Frontiers in Medicine (2 papers)PLoS ONE (2 papers)Journal of Clinical Pathology (1 paper)
- Partner nations
- NorwayUnited StatesSweden
In The Last Decade
Marit Valla
20 papers receiving 307 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 103
- Obstetrics and Gynecology 45
- Oncology 103
- Reproductive Medicine 27
- Pathology and Forensic Medicine 36
Countries citing papers authored by Marit Valla
This map shows the geographic impact of Marit Valla'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 Marit Valla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marit Valla more than expected).
Fields of papers citing papers by Marit Valla
This network shows the impact of papers produced by Marit Valla. 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 Marit Valla. The network helps show where Marit Valla may publish in the future.
Co-authors
The 25 scholars most cited alongside Marit Valla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 40 | |
| 2 | 2018 | 37 | |
| 3 | 2016 | 34 | |
| 4 | 2016 | 31 | |
| 5 | 2018 | 28 | |
| 6 | 2022 | 28 | |
| 7 | 2020 | 20 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2018 | 9 | |
| 12 | 2021 | 7 | |
| 13 | 2017 | 6 | |
| 14 | 2017 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2023 | 2 |
About Marit Valla
Marit Valla is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Genetics and Molecular Biology, having authored 23 papers that have together received 307 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (10 papers), Breast Lesions and Carcinomas (6 papers), AI in cancer detection (5 papers), Cancer Genomics and Diagnostics (5 papers), HER2/EGFR in Cancer Research (3 papers), Global Cancer Incidence and Screening (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Cancer Research (103 citations), Obstetrics and Gynecology (45 citations), Oncology (103 citations), Reproductive Medicine (27 citations) and Pathology and Forensic Medicine (36 citations). Marit Valla has collaborated with scholars based in Norway, United States and Sweden. Frequent co-authors include Anna M. Bofin, Signe Opdahl, Borgny Ytterhus, Monica Jernberg Engstrøm, Bjørn Hagen, Olav A. Haugen, Lars A. Akslen, Pål Romundstad, Christina Vogt and Lars J. Vatten. Their work appears in journals such as Breast Cancer Research and Treatment, BMC Cancer, Frontiers in Medicine, PLoS ONE and Journal of Clinical Pathology.
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.