Turid Aas

16.2k total citations · 3 hit papers
59 papers, 11.5k citations indexed

About

Turid Aas is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Turid Aas has authored 59 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 25 papers in Cancer Research and 19 papers in Molecular Biology. Recurrent topics in Turid Aas's work include Breast Cancer Treatment Studies (23 papers), Cancer-related Molecular Pathways (10 papers) and Cancer Genomics and Diagnostics (8 papers). Turid Aas is often cited by papers focused on Breast Cancer Treatment Studies (23 papers), Cancer-related Molecular Pathways (10 papers) and Cancer Genomics and Diagnostics (8 papers). Turid Aas collaborates with scholars based in Norway, Sweden and Denmark. Turid Aas's co-authors include Per Eystein Lønning, Stephanie Geisler, Hilde Johnsen, Anne‐Lise Børresen‐Dale, Thérese Sørlie, Charles M. Perou, David Botstein, Patrick O. Brown, Matt van de Rijn and Stefanie S. Jeffrey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Genetics.

In The Last Decade

Turid Aas

57 papers receiving 11.2k citations

Hit Papers

Gene expression patterns of breast carcinomas distinguish... 1996 2026 2006 2016 2001 1996 1999 2.5k 5.0k 7.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Turid Aas Norway 28 5.7k 5.7k 5.3k 2.0k 1.3k 59 11.5k
Anne‐Lise Børresen‐Dale Norway 18 6.0k 1.1× 6.3k 1.1× 6.1k 1.1× 1.7k 0.8× 1.4k 1.1× 26 12.4k
Rumiko Tashima Japan 10 5.6k 1.0× 5.1k 0.9× 5.4k 1.0× 1.5k 0.8× 1.2k 0.9× 21 11.5k
Øystein Fluge Norway 25 6.4k 1.1× 6.5k 1.1× 6.1k 1.1× 1.7k 0.8× 1.8k 1.3× 91 13.9k
Yasuo Toyozumi Japan 14 5.8k 1.0× 5.2k 0.9× 5.5k 1.0× 1.5k 0.8× 1.3k 1.0× 37 11.8k
Mamiko Fujisue Japan 11 5.5k 1.0× 5.1k 0.9× 5.4k 1.0× 1.5k 0.8× 1.2k 0.9× 18 11.4k
Philip S. Bernard United States 36 5.2k 0.9× 5.0k 0.9× 5.6k 1.1× 1.3k 0.7× 1.3k 0.9× 91 11.2k
Stephanie Geisler Norway 21 7.4k 1.3× 7.5k 1.3× 7.2k 1.4× 2.5k 1.2× 1.7k 1.3× 36 14.5k
Laura van ‘t Veer United States 46 5.1k 0.9× 7.9k 1.4× 5.9k 1.1× 3.0k 1.5× 1.5k 1.1× 200 14.6k
Tomofumi Osako Japan 19 6.0k 1.1× 5.2k 0.9× 5.7k 1.1× 1.6k 0.8× 1.3k 1.0× 42 12.1k
Yasuyuki Nishiyama Japan 16 5.7k 1.0× 5.4k 1.0× 5.4k 1.0× 1.5k 0.8× 1.2k 0.9× 38 12.0k

Countries citing papers authored by Turid Aas

Since Specialization
Citations

This map shows the geographic impact of Turid Aas'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 Turid Aas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Turid Aas more than expected).

Fields of papers citing papers by Turid Aas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Turid Aas. 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 Turid Aas. The network helps show where Turid Aas may publish in the future.

Co-authorship network of co-authors of Turid Aas

This figure shows the co-authorship network connecting the top 25 collaborators of Turid Aas. A scholar is included among the top collaborators of Turid Aas 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 Turid Aas. Turid Aas 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.
Aas, Turid, et al.. (2025). Distinct clinicopathological features and treatment differences in breast cancer patients of young age. Scientific Reports. 15(1). 5655–5655.
2.
Aas, Turid, Ingeborg Winge, Karin Collett, et al.. (2025). Reduced GATA3 expression associates with immuno‐metabolic alterations and aggressive features in breast cancer. The Journal of Pathology Clinical Research. 11(6). e70050–e70050.
3.
Tegnander, A., Kristi Krüger, Erling A. Høivik, et al.. (2024). Age‐related phenotypes in breast cancer: A population‐based study. International Journal of Cancer. 154(11). 2014–2024. 4 indexed citations
4.
Bollerslev, Jens, Kristin Godang, Morten Wang Fagerland, et al.. (2023). Positive Effect of Parathyroidectomy Compared to Observation on BMD in a Randomized Controlled Trial of Mild Primary Hyperparathyroidism. Journal of Bone and Mineral Research. 38(3). 372–380. 13 indexed citations
5.
Heck, Ansgar, Morten Wang Fagerland, Kristin Godang, et al.. (2022). Mortality and Morbidity in Mild Primary Hyperparathyroidism: Results From a 10-Year Prospective Randomized Controlled Trial of Parathyroidectomy Versus Observation. Annals of Internal Medicine. 175(6). 812–819. 27 indexed citations
6.
Deng, Wei, Jürgen Geisler, Stephanie Geisler, et al.. (2022). Clonal evolution in primary breast cancers under sequential epirubicin and docetaxel monotherapy. Genome Medicine. 14(1). 86–86. 10 indexed citations
7.
Hellström, Mikael, Morten Wang Fagerland, Kristin Godang, et al.. (2020). Effects of Parathyroidectomy on Quality of Life: 10 Years of Data From a Prospective Randomized Controlled Trial on Primary Hyperparathyroidism (the SIPH-Study). Journal of Bone and Mineral Research. 36(1). 3–11. 32 indexed citations
8.
Kvaløy, Jan Terje, Kirsten Lode, Ragna Lind, et al.. (2019). Drug monitoring of tamoxifen metabolites predicts vaginal dryness and verifies a low discontinuation rate from the Norwegian Prescription Database. Breast Cancer Research and Treatment. 177(1). 185–195. 18 indexed citations
9.
Akslen, Lars A., Ellen Schlichting, Turid Aas, et al.. (2018). Trends in Diagnostics, Surgical Treatment, and Prognostic Factors for Outcomes in Medullary Thyroid Carcinoma in Norway: A Nationwide Population-Based Study. European Thyroid Journal. 8(1). 31–40. 32 indexed citations
10.
Wik, Elisabeth, et al.. (2017). Extra-nodal extension is a significant prognostic factor in lymph node positive breast cancer. PLoS ONE. 12(2). e0171853–e0171853. 23 indexed citations
11.
Aas, Turid, et al.. (2017). Diet in women with breast cancer compared to healthy controls – What is the difference?. European Journal of Oncology Nursing. 32. 20–24. 8 indexed citations
12.
Hofvind, Solveig, Åsne Sørlien Holen, Turid Aas, et al.. (2015). Women treated with breast conserving surgery do better than those with mastectomy independent of detection mode, prognostic and predictive tumor characteristics. European Journal of Surgical Oncology. 41(10). 1417–1422. 84 indexed citations
13.
Høberg‐Vetti, Hildegunn, Cathrine Bjorvatn, Bent Fiane, et al.. (2015). BRCA1/2 testing in newly diagnosed breast and ovarian cancer patients without prior genetic counselling: the DNA-BONus study. European Journal of Human Genetics. 24(6). 881–888. 51 indexed citations
14.
Brauckhoff, Michael, et al.. (2014). Latencies longer than 3.5 ms after vagus nerve stimulation does not exclude a nonrecurrent inferior laryngeal nerve. BMC Surgery. 14(1). 61–61. 3 indexed citations
15.
Akslen, Lars A., Oddbjørn Straume, Stephanie Geisler, et al.. (2011). Glomeruloid microvascular proliferation is associated with lack of response to chemotherapy in breast cancer. British Journal of Cancer. 105(1). 9–12. 13 indexed citations
16.
Lønning, Per Eystein, et al.. (2009). Tissue estradiol is selectively elevated in receptor positive breast cancers while tumour estrone is reduced independent of receptor status. The Journal of Steroid Biochemistry and Molecular Biology. 117(1-3). 31–41. 76 indexed citations
17.
Sørlie, Thérese, Charles M. Perou, Huihui Fan, et al.. (2006). Gene expression profiles do not consistently predict the clinical treatment response in locally advanced breast cancer. Molecular Cancer Therapeutics. 5(11). 2914–2918. 97 indexed citations
18.
Geisler, Stephanie, Per Eystein Lønning, Turid Aas, et al.. (2001). Influence of TP53 gene alterations and c-erbB-2 expression on the response to treatment with doxorubicin in locally advanced breast cancer.. PubMed. 61(6). 2505–12. 264 indexed citations
19.
Aasly, Jan, H. Silfvenius, Turid Aas, et al.. (1999). Proton magnetic resonance spectroscopy of brain biopsies from patients with intractable epilepsy. Epilepsy Research. 35(3). 211–217. 43 indexed citations
20.
Ellis, PA, Per Eystein Lønning, A.L. Børresen-Dale, et al.. (1997). Absence of p21 expression is associated with abnormal p53 in human breast carcinomas. British Journal of Cancer. 76(4). 480–485. 33 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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