Marit Valla

448 total citations
23 papers, 307 citations indexed

About

Marit Valla is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Marit Valla has authored 23 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 8 papers in Oncology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Marit Valla's work include Breast Cancer Treatment Studies (10 papers), Breast Lesions and Carcinomas (6 papers) and AI in cancer detection (5 papers). Marit Valla is often cited by papers focused on Breast Cancer Treatment Studies (10 papers), Breast Lesions and Carcinomas (6 papers) and AI in cancer detection (5 papers). Marit Valla collaborates with scholars based in Norway, United States and Sweden. Marit Valla's co-authors include Anna M. Bofin, Signe Opdahl, Borgny Ytterhus, Monica Jernberg Engstrøm, Bjørn Hagen, Olav A. Haugen, Christina Vogt, Lars J. Vatten, Pål Romundstad and Lars A. Akslen and has published in prestigious journals such as PLoS ONE, Journal of Histochemistry & Cytochemistry and Journal of Clinical Pathology.

In The Last Decade

Marit Valla

20 papers receiving 307 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marit Valla Norway 10 106 103 103 56 47 23 307
Elizabeth Kornaga Canada 11 152 1.4× 88 0.9× 255 2.5× 68 1.2× 69 1.5× 24 437
Shweta S. Chavan United States 9 139 1.3× 38 0.4× 142 1.4× 59 1.1× 45 1.0× 21 320
Irene Papaspyrou Greece 9 96 0.9× 65 0.6× 106 1.0× 50 0.9× 50 1.1× 13 262
Asaf Maoz United States 9 72 0.7× 53 0.5× 114 1.1× 32 0.6× 18 0.4× 24 269
Antonia Wenners Germany 11 101 1.0× 74 0.7× 102 1.0× 35 0.6× 18 0.4× 21 306
Simona Pigozzi Italy 9 101 1.0× 51 0.5× 121 1.2× 51 0.9× 34 0.7× 24 320
Congrong Liu China 11 86 0.8× 70 0.7× 67 0.7× 49 0.9× 32 0.7× 29 309
Anne‐Katrin Zimmermann Switzerland 9 118 1.1× 76 0.7× 139 1.3× 91 1.6× 40 0.9× 11 337
Alba Mota Spain 9 226 2.1× 104 1.0× 52 0.5× 65 1.2× 12 0.3× 13 364
Ilaria Cuccu Italy 9 51 0.5× 51 0.5× 92 0.9× 30 0.5× 34 0.7× 20 283

Countries citing papers authored by Marit Valla

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Marit Valla

This figure shows the co-authorship network connecting the top 25 collaborators of Marit Valla. A scholar is included among the top collaborators of Marit Valla 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 Marit Valla. Marit Valla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ytterhus, Borgny, Cecilia Lindskog, Elisabeth Wik, et al.. (2025). Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides. PLoS ONE. 20(7). e0328033–e0328033.
2.
Ytterhus, Borgny, Lars A. Akslen, Elisabeth Wik, et al.. (2025). Predicting estrogen receptor status from HE-stained breast cancer slides using artificial intelligence. Frontiers in Medicine. 12. 1593143–1593143.
3.
Valla, Marit, et al.. (2023). PAK1 copy number in breast cancer—Associations with proliferation and molecular subtypes. PLoS ONE. 18(6). e0287608–e0287608. 2 indexed citations
4.
Valla, Marit, et al.. (2023). Oestrogen receptor low positive breast cancer: associations with prognosis. Breast Cancer Research and Treatment. 201(3). 535–545. 4 indexed citations
5.
Opdahl, Signe, et al.. (2022). Long term trends of breast cancer incidence according to proliferation status. BMC Cancer. 22(1). 1340–1340. 3 indexed citations
6.
Pettersen, Henrik Sahlin, et al.. (2022). Visual and digital assessment of Ki-67 in breast cancer tissue - a comparison of methods. Diagnostic Pathology. 17(1). 45–45. 13 indexed citations
7.
Valla, Marit, et al.. (2022). CCND1 Amplification in Breast Cancer -associations With Proliferation, Histopathological Grade, Molecular Subtype and Prognosis. Journal of Mammary Gland Biology and Neoplasia. 27(1). 67–77. 28 indexed citations
8.
Smistad, Erik, et al.. (2022). H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images. Frontiers in Medicine. 9. 971873–971873. 13 indexed citations
9.
Valla, Marit, Signe Opdahl, Borgny Ytterhus, & Anna M. Bofin. (2021). DTX3 copy number increase in breast cancer: a study of associations to molecular subtype, proliferation and prognosis. Breast Cancer Research and Treatment. 187(1). 57–67. 7 indexed citations
10.
Bofin, Anna M., et al.. (2021). FGFR1 copy number in breast cancer: associations with proliferation, histopathological grade and molecular subtypes. Journal of Clinical Pathology. 75(7). 459–464. 5 indexed citations
11.
Sandvei, Marie Søfteland, Signe Opdahl, Marit Valla, et al.. (2021). The association of women’s birth size with risk of molecular breast cancer subtypes: a cohort study. BMC Cancer. 21(1). 299–299. 3 indexed citations
12.
Engstrøm, Monica Jernberg, et al.. (2021). ZNF703 gene copy number and protein expression in breast cancer; associations with proliferation, prognosis and luminal subtypes. Breast Cancer Research and Treatment. 186(1). 65–77. 6 indexed citations
13.
Opdahl, Signe, Monica Jernberg Engstrøm, Borgny Ytterhus, et al.. (2020). MRPS23 amplification and gene expression in breast cancer; association with proliferation and the non-basal subtypes. Breast Cancer Research and Treatment. 180(1). 73–86. 20 indexed citations
14.
Redvers, Richard P., Marit Valla, Anna M. Bofin, et al.. (2018). Nephronectin is Correlated with Poor Prognosis in Breast Cancer and Promotes Metastasis via its Integrin-Binding Motifs. Neoplasia. 20(4). 387–400. 28 indexed citations
15.
Valla, Marit, et al.. (2018). The prognostic value of androgen receptors in breast cancer subtypes. Breast Cancer Research and Treatment. 172(2). 283–296. 37 indexed citations
16.
Wallin, Keng‐Ling, Marit Valla, Anna Måsbäck, et al.. (2017). A Selective Biomarker Panel Increases the Reproducibility and the Accuracy in Endometrial Biopsy Diagnosis. International Journal of Gynecological Pathology. 36(4). 339–347. 6 indexed citations
17.
Valla, Marit, Monica Jernberg Engstrøm, Borgny Ytterhus, et al.. (2017). FGD5 amplification in breast cancer patients is associated with tumour proliferation and a poorer prognosis. Breast Cancer Research and Treatment. 162(2). 243–253. 12 indexed citations
18.
Engstrøm, Monica Jernberg, Marit Valla, & Anna M. Bofin. (2017). Basal markers and prognosis in luminal breast cancer. Breast Cancer Research and Treatment. 163(2). 207–217. 6 indexed citations
19.
20.
Valla, Marit, Lars J. Vatten, Monica Jernberg Engstrøm, et al.. (2016). Molecular Subtypes of Breast Cancer: Long-term Incidence Trends and Prognostic Differences. Cancer Epidemiology Biomarkers & Prevention. 25(12). 1625–1634. 34 indexed citations

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.

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