Marit Valla
Impact in
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
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- Breast Cancer Treatment Studies
- Cancer-related molecular mechanisms research
Papers in
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- AI in cancer detection 4
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- Breast Cancer Treatment Studies 4
- 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)PLoS ONE (2 papers)Frontiers in Medicine (2 papers)BMC Cancer (2 papers)Journal of Histochemistry & Cytochemistry (1 paper)
- Partner nations
- NorwayUnited StatesFrance
In The Last Decade
Marit Valla
21 papers receiving 314 citations
Peers
Comparison fields: 5 of 48
- Obstetrics and Gynecology 41
- Cancer Research 80
- Oncology 65
- Pathology and Forensic Medicine 25
- Reproductive Medicine 11
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 24 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 | 2022 | 29 | |
| 6 | 2018 | 28 | |
| 7 | 2020 | 21 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2018 | 9 | |
| 12 | 2021 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2017 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2017 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2023 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2022 | 3 |
About Marit Valla
Marit Valla is a scholar working on Artificial Intelligence, Cancer Research, Genetics, Molecular Biology and Pathology and Forensic Medicine, having authored 24 papers that have together received 315 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Genetic Syndromes and Imprinting (2 papers), Cervical Cancer and HPV Research (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Breast Lesions and Carcinomas (2 papers). The work is most often cited by research in Obstetrics and Gynecology (41 citations), Cancer Research (80 citations), Oncology (65 citations), Pathology and Forensic Medicine (25 citations) and Reproductive Medicine (11 citations). Marit Valla has collaborated with scholars based in Norway, United States and France. 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, PLoS ONE, Frontiers in Medicine, BMC Cancer and Journal of Histochemistry & Cytochemistry.
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.