Vidar G. Flote

576 total citations
22 papers, 385 citations indexed

About

Vidar G. Flote is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Vidar G. Flote has authored 22 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Cancer Research. Recurrent topics in Vidar G. Flote's work include Cancer Risks and Factors (9 papers), Global Cancer Incidence and Screening (5 papers) and Nutritional Studies and Diet (4 papers). Vidar G. Flote is often cited by papers focused on Cancer Risks and Factors (9 papers), Global Cancer Incidence and Screening (5 papers) and Nutritional Studies and Diet (4 papers). Vidar G. Flote collaborates with scholars based in Norway, United States and Poland. Vidar G. Flote's co-authors include Inger Thune, Hanne Frydenberg, Anne McTiernan, Tom Wilsgaard, Peter T. Ellison, Giske Ursin, Grażyna Jasieńska, Odd Terje Brustugun, Åslaug Helland and Ann Rita Halvorsen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Vidar G. Flote

21 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vidar G. Flote Norway 11 186 108 104 83 49 22 385
Louise M. Rasmussen Denmark 8 150 0.8× 54 0.5× 155 1.5× 50 0.6× 38 0.8× 8 487
Kirsti Vik Hjerkind Norway 11 200 1.1× 106 1.0× 33 0.3× 62 0.7× 41 0.8× 15 346
James Pavelka United States 9 165 0.9× 67 0.6× 92 0.9× 28 0.3× 29 0.6× 14 500
Cecilia Bosco United Kingdom 9 94 0.5× 113 1.0× 102 1.0× 250 3.0× 22 0.4× 23 543
Mei-Tzu C. Tang United States 11 392 2.1× 155 1.4× 115 1.1× 63 0.8× 69 1.4× 11 565
Kelli O’Connell United States 12 239 1.3× 34 0.3× 57 0.5× 175 2.1× 46 0.9× 27 542
Ingolf Juhasz-Böess Germany 12 96 0.5× 39 0.4× 87 0.8× 27 0.3× 50 1.0× 28 397
Bingying Xie China 13 89 0.5× 72 0.7× 124 1.2× 44 0.5× 16 0.3× 17 459
Michelle L. Roberts United States 7 74 0.4× 68 0.6× 214 2.1× 52 0.6× 27 0.6× 11 378
D.S. Allen United Kingdom 14 225 1.2× 109 1.0× 69 0.7× 37 0.4× 63 1.3× 19 485

Countries citing papers authored by Vidar G. Flote

Since Specialization
Citations

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

Fields of papers citing papers by Vidar G. Flote

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vidar G. Flote. 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 Vidar G. Flote. The network helps show where Vidar G. Flote may publish in the future.

Co-authorship network of co-authors of Vidar G. Flote

This figure shows the co-authorship network connecting the top 25 collaborators of Vidar G. Flote. A scholar is included among the top collaborators of Vidar G. Flote 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 Vidar G. Flote. Vidar G. Flote 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
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2.
Flote, Vidar G., et al.. (2023). Extensive clinical testing of Deep Learning Segmentation models for thorax and breast cancer radiotherapy planning. Acta Oncologica. 62(10). 1184–1193. 7 indexed citations
3.
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Flote, Vidar G., Gro F. Bertheussen, Helle Kristine Skjerven, et al.. (2022). Normal and unusual days for dietary intake during the 12 months after a breast cancer diagnosis in women. European Journal of Nutrition. 61(8). 3873–3885.
5.
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Bøhn, Siv Kjølsrud, Inger Thune, Vidar G. Flote, et al.. (2021). Effects of a 1-Year Physical Activity Intervention on Markers of Hemostasis among Breast Cancer Survivors: A Randomized Controlled Trial. SHILAP Revista de lepidopterología. 5(1). e14–e23. 5 indexed citations
7.
Frydenberg, Hanne, Vidar G. Flote, Anne Elise Eggen, et al.. (2020). Exploring the effects of lifestyle on breast cancer risk, age at diagnosis, and survival: the EBBA-Life study. Breast Cancer Research and Treatment. 182(1). 215–227. 42 indexed citations
8.
Thune, Inger, Gro F. Bertheussen, Vidar G. Flote, et al.. (2020). Dietary changes in early-stage breast cancer patients from pre-surgery and over the 12 months post-surgery. British Journal Of Nutrition. 125(2). 172–182. 7 indexed citations
9.
Thune, Inger, Hanne Frydenberg, Vidar G. Flote, et al.. (2018). Validation of repeated self-reported n-3 PUFA intake using serum phospholipid fatty acids as a biomarker in breast cancer patients during treatment. Nutrition Journal. 17(1). 94–94. 13 indexed citations
10.
Madssen, Torfinn Støve, Inger Thune, Vidar G. Flote, et al.. (2018). Metabolite and lipoprotein responses and prediction of weight gain during breast cancer treatment. British Journal of Cancer. 119(9). 1144–1154. 14 indexed citations
11.
Flote, Vidar G., Riyas Vettukattil, Tone F. Bathen, et al.. (2016). Lipoprotein subfractions by nuclear magnetic resonance are associated with tumor characteristics in breast cancer. Lipids in Health and Disease. 15(1). 56–56. 29 indexed citations
12.
Frydenberg, Hanne, Vidar G. Flote, Peter T. Ellison, et al.. (2016). Polymorphisms in the estrogen receptor alpha gene (ESR1), daily cycling estrogen and mammographic density phenotypes.. BMC Cancer. 16(1). 776–776. 7 indexed citations
13.
Frydenberg, Hanne, Inger Thune, E. Mortensen, et al.. (2016). Pre-diagnostic high-sensitive C-reactive protein and breast cancer risk, recurrence, and survival. Breast Cancer Research and Treatment. 155(2). 345–354. 38 indexed citations
14.
Flote, Vidar G., Hanne Frydenberg, Giske Ursin, et al.. (2015). High-Density Lipoprotein-Cholesterol, Daily Estradiol and Progesterone, and Mammographic Density Phenotypes in Premenopausal Women. Cancer Prevention Research. 8(6). 535–544. 9 indexed citations
15.
Frydenberg, Hanne, Vidar G. Flote, Emily S. Barrett, et al.. (2015). Alcohol consumption, endogenous estrogen and mammographic density among premenopausal women. Breast Cancer Research. 17(1). 103–103. 55 indexed citations
16.
Iversen, Anita, Hanne Frydenberg, Anne-Sofie Furberg, et al.. (2015). Cyclic endogenous estrogen and progesterone vary by mammographic density phenotypes in premenopausal women. European Journal of Cancer Prevention. 25(1). 9–18. 28 indexed citations
17.
Frydenberg, Hanne, Vidar G. Flote, Anita Iversen, et al.. (2014). Insulin-like growth factor-1, growth hormone, and daily cycling estrogen are associated with mammographic density in premenopausal women. Cancer Causes & Control. 25(7). 891–903. 10 indexed citations
18.
Flote, Vidar G., Anne-Sofie Furberg, Anne McTiernan, et al.. (2014). Gene variations in oestrogen pathways, CYP19A1, daily 17β-estradiol and mammographic density phenotypes in premenopausal women. Breast Cancer Research. 16(6). 499–499. 10 indexed citations
19.
Iversen, Anita, Inger Thune, Anne McTiernan, et al.. (2012). Genetic PolymorphismCYP17rs2486758 and Metabolic Risk Factors Predict Daily Salivary 17β-Estradiol Concentration in Healthy Premenopausal Norwegian Women. The EBBA-I Study. The Journal of Clinical Endocrinology & Metabolism. 97(5). E852–E857. 10 indexed citations
20.
Thune, Inger, Aina Emaus, Vidar G. Flote, et al.. (2011). Ovarian hormones and reproductive risk factors for breast cancer in premenopausal women: the Norwegian EBBA-I study. Human Reproduction. 26(6). 1519–1529. 14 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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