Per Skaane

6.9k total citations · 1 hit paper
119 papers, 4.7k citations indexed

About

Per Skaane is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Per Skaane has authored 119 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Oncology, 45 papers in Pulmonary and Respiratory Medicine and 36 papers in Artificial Intelligence. Recurrent topics in Per Skaane's work include Global Cancer Incidence and Screening (45 papers), Digital Radiography and Breast Imaging (39 papers) and AI in cancer detection (36 papers). Per Skaane is often cited by papers focused on Global Cancer Incidence and Screening (45 papers), Digital Radiography and Breast Imaging (39 papers) and AI in cancer detection (36 papers). Per Skaane collaborates with scholars based in Norway, United States and Germany. Per Skaane's co-authors include Solveig Hofvind, Arnulf Skjennald, Randi Gullien, Andriy I. Bandos, Ellen B. Eben, Knut Engedal, David Gur, Loren T. Niklason, K. C. Young and Nehmat Houssami and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Radiology.

In The Last Decade

Per Skaane

115 papers receiving 4.5k citations

Hit Papers

Comparison of Digital Mammography Alone and Digital Mammo... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Per Skaane Norway 37 2.7k 2.4k 2.0k 1.7k 962 119 4.7k
Debra M. Ikeda United States 41 1.2k 0.5× 1.4k 0.6× 1.2k 0.6× 2.7k 1.6× 1.4k 1.4× 154 5.3k
Murray Rebner United States 22 1.4k 0.5× 1.2k 0.5× 1.3k 0.7× 978 0.6× 803 0.8× 46 3.2k
Matthew Wallis United Kingdom 26 1.6k 0.6× 1.2k 0.5× 1.8k 0.9× 1.3k 0.7× 1.9k 2.0× 113 4.4k
Kathleen R. Brandt United States 33 1.6k 0.6× 1.2k 0.5× 1.5k 0.8× 889 0.5× 944 1.0× 74 3.3k
Elizabeth A. Rafferty United States 31 1.8k 0.7× 1.4k 0.6× 822 0.4× 1.9k 1.1× 838 0.9× 64 3.6k
Daniela Bernardi Italy 31 1.6k 0.6× 1.2k 0.5× 1.1k 0.5× 971 0.6× 413 0.4× 110 3.0k
Marie A. Ganott United States 28 1.5k 0.5× 1.6k 0.7× 747 0.4× 1.8k 1.1× 496 0.5× 63 3.1k
Corinne Balleyguier France 39 1.4k 0.5× 779 0.3× 1.0k 0.5× 2.1k 1.2× 684 0.7× 183 4.9k
Andriy I. Bandos United States 26 2.3k 0.9× 2.1k 0.9× 914 0.5× 1.9k 1.1× 341 0.4× 71 3.7k
Ellen B. Mendelson United States 30 690 0.3× 1.3k 0.6× 794 0.4× 2.1k 1.2× 1.0k 1.1× 94 4.2k

Countries citing papers authored by Per Skaane

Since Specialization
Citations

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

Fields of papers citing papers by Per Skaane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Per Skaane

This figure shows the co-authorship network connecting the top 25 collaborators of Per Skaane. A scholar is included among the top collaborators of Per Skaane 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 Per Skaane. Per Skaane 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.
Moshina, Nataliia, Axel Gräwingholt, Kristina Lång, et al.. (2024). Digital breast tomosynthesis in mammographic screening: false negative cancer cases in the To-Be 1 trial. Insights into Imaging. 15(1). 38–38.
2.
Moshina, Nataliia, et al.. (2023). Mammographic features and risk of breast cancer death among women with invasive screen-detected cancer in BreastScreen Norway 1996–2020. European Radiology. 34(5). 3364–3374. 2 indexed citations
3.
Østerås, Bjørn Helge, Anne Catrine Trægde Martinsen, Randi Gullien, & Per Skaane. (2019). Digital Mammography versus Breast Tomosynthesis: Impact of Breast Density on Diagnostic Performance in Population-based Screening. Radiology. 293(1). 60–68. 54 indexed citations
4.
Skaane, Per, Andriy I. Bandos, Loren T. Niklason, et al.. (2019). Digital Mammography versus Digital Mammography Plus Tomosynthesis in Breast Cancer Screening: The Oslo Tomosynthesis Screening Trial. Radiology. 291(1). 23–30. 116 indexed citations
5.
Müller‐Schimpfle, Markus, Werner Bader, Pascal Baltzer, et al.. (2019). Consensus Meeting of Breast Imaging: BI-RADS® and Beyond. Breast Care. 14(5). 308–314. 8 indexed citations
6.
Falk, Ragnhild Sørum, Solveig Hofvind, Per Skaane, & Tor Haldorsen. (2013). Overdiagnosis among women attending a population‐based mammography screening program. International Journal of Cancer. 133(3). 705–712. 52 indexed citations
8.
Martinsen, Anne Catrine Trægde, et al.. (2011). Iterative reconstruction reduces abdominal CT dose. European Journal of Radiology. 81(7). 1483–1487. 65 indexed citations
9.
Couto, Elisabeth, Samera Azeem Qureshi, Solveig Hofvind, et al.. (2011). Hormone therapy use and mammographic density in postmenopausal Norwegian women. Breast Cancer Research and Treatment. 132(1). 297–305. 25 indexed citations
10.
Aarøe, Jørgen, Torbjørn Lindahl, Vanessa Dumeaux, et al.. (2010). Gene expression profiling of peripheral blood cells for early detection of breast cancer. Breast Cancer Research. 12(1). R7–R7. 87 indexed citations
11.
Hofvind, Solveig, Berta M. Geller, Robert Rosenberg, & Per Skaane. (2009). Screening-detected Breast Cancers: Discordant Independent Double Reading in a Population-based Screening Program. Radiology. 253(3). 652–660. 44 indexed citations
12.
Karssemeijer, Nico, et al.. (2008). Differential impact of conventional and low‐dose oral hormone therapy, tibolone and raloxifene on mammographic breast density, assessed by an automated quantitative method. BJOG An International Journal of Obstetrics & Gynaecology. 115(6). 773–779. 20 indexed citations
13.
Sharma, Praveen, Narinder Singh Sahni, Robert Tibshirani, et al.. (2005). Early detection of breast cancer based on gene-expression patterns in peripheral blood cells. Breast Cancer Research. 7(5). R634–44. 102 indexed citations
15.
Skaane, Per, K. C. Young, & Arnulf Skjennald. (2003). Population-based Mammography Screening: Comparison of Screen-Film and Full-Field Digital Mammography with Soft-Copy Reading—Oslo I Study. Radiology. 229(3). 877–884. 168 indexed citations
16.
Skaane, Per, et al.. (1995). [Investigation of palpable breast tumours. Patient flow and quality assessment of the tripple diagnostic procedure].. PubMed. 115(16). 1965–9. 1 indexed citations
17.
Skaane, Per, et al.. (1988). Hypoechoic solitary inflammatory polyp of the gallbladder. Journal of Clinical Ultrasound. 16(8). 603–604. 5 indexed citations
18.
Skaane, Per. (1988). Radiologische Befunde bei der Mukozele des Appendix. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 149(12). 624–628. 1 indexed citations
19.
Skaane, Per. (1987). Ultrasonic demonstration of a pedunculated colonic polyp. Journal of Clinical Ultrasound. 15(3). 204–206. 6 indexed citations
20.
Skaane, Per, et al.. (1986). Mucinous adenocarcinoma of the appendix presenting as an ovarian cystadenocarcinoma: case report and review of appendiceal neoplasms with ovarian metastases.. PubMed. 12(4). 379–84. 7 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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