Ellen Schlichting

3.0k total citations
44 papers, 1.6k citations indexed

About

Ellen Schlichting is a scholar working on Cancer Research, Oncology and Genetics. According to data from OpenAlex, Ellen Schlichting has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cancer Research, 15 papers in Oncology and 15 papers in Genetics. Recurrent topics in Ellen Schlichting's work include Breast Cancer Treatment Studies (11 papers), Estrogen and related hormone effects (8 papers) and Breast Lesions and Carcinomas (7 papers). Ellen Schlichting is often cited by papers focused on Breast Cancer Treatment Studies (11 papers), Estrogen and related hormone effects (8 papers) and Breast Lesions and Carcinomas (7 papers). Ellen Schlichting collaborates with scholars based in Norway, United States and Sweden. Ellen Schlichting's co-authors include Rolf Kåresen, Elin Borgen, Jan F. Nygård, Anne Irene Hagen, Bjørn Naume, Torill Sauer, Lars Erik Krag, Per Eystein Lønning, Jürgen Geisler and Anna Polli and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Ellen Schlichting

42 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ellen Schlichting Norway 21 834 676 457 420 224 44 1.6k
Yasuo Hozumi Japan 23 964 1.2× 704 1.0× 549 1.2× 328 0.8× 247 1.1× 84 1.9k
Erhard Quebe‐Fehling Switzerland 15 1.2k 1.4× 614 0.9× 639 1.4× 228 0.5× 120 0.5× 42 1.9k
A. De Matteis Italy 21 1.2k 1.4× 809 1.2× 533 1.2× 317 0.8× 174 0.8× 58 2.1k
Ted Vandenberg Canada 19 1.4k 1.7× 761 1.1× 279 0.6× 381 0.9× 160 0.7× 39 2.0k
J. Bonneterre France 9 764 0.9× 464 0.7× 513 1.1× 224 0.5× 66 0.3× 28 1.3k
D. Amoroso Italy 23 2.0k 2.4× 925 1.4× 668 1.5× 455 1.1× 308 1.4× 104 2.8k
Ulla Glas Sweden 21 916 1.1× 772 1.1× 875 1.9× 192 0.5× 265 1.2× 44 2.1k
Lucy Kilburn United Kingdom 15 1.1k 1.3× 863 1.3× 613 1.3× 347 0.8× 121 0.5× 64 2.1k
Marc Thill Germany 22 1.1k 1.3× 889 1.3× 247 0.5× 253 0.6× 518 2.3× 163 2.3k
Roberto Franchi Italy 25 987 1.2× 442 0.7× 437 1.0× 222 0.5× 191 0.9× 68 2.4k

Countries citing papers authored by Ellen Schlichting

Since Specialization
Citations

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

Fields of papers citing papers by Ellen Schlichting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ellen Schlichting

This figure shows the co-authorship network connecting the top 25 collaborators of Ellen Schlichting. A scholar is included among the top collaborators of Ellen Schlichting 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 Ellen Schlichting. Ellen Schlichting 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.
Stormorken, Astrid, et al.. (2025). Risk reducing mastectomy in Norwegian BRCA1/2 carriers. European Journal of Surgical Oncology. 51(3). 109571–109571.
2.
Lien, Tonje G., Xavier Tekpli, Laxmi Silwal‐Pandit, et al.. (2020). Immune phenotype of tumor microenvironment predicts response to bevacizumab in neoadjuvant treatment of ER‐positive breast cancer. International Journal of Cancer. 147(9). 2515–2525. 14 indexed citations
3.
Kåresen, Rolf, et al.. (2019). Using clinical cancer registry data for estimation of quality indicators: Results from the Norwegian breast cancer registry. International Journal of Medical Informatics. 125. 102–109. 18 indexed citations
4.
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
5.
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
6.
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
8.
Ohnstad, Hege O., Elin Borgen, Ragnhild Sørum Falk, et al.. (2017). Prognostic value of PAM50 and risk of recurrence score in patients with early-stage breast cancer with long-term follow-up. Breast Cancer Research. 19(1). 120–120. 84 indexed citations
9.
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
10.
Silwal‐Pandit, Laxmi, Hege G. Russnes, Elin Borgen, et al.. (2015). The Sub-Cellular Localization of WRAP53 Has Prognostic Impact in Breast Cancer. PLoS ONE. 10(10). e0139965–e0139965. 17 indexed citations
12.
Viken, Marte K., Anders Erik Astrup Dahm, Hans Kristian Moen Vollan, et al.. (2014). Increased coagulation activity and genetic polymorphisms in the F5, F10 and EPCRgenes are associated with breast cancer: a case-control study. BMC Cancer. 14(1). 845–845. 34 indexed citations
13.
Hannisdal, Einar, et al.. (2013). A Risk Analysis of Cancer Care in Norway: The Top 16 Patient Safety Hazards. The Joint Commission Journal on Quality and Patient Safety. 39(11). 511–AP1. 9 indexed citations
15.
Borgan, Eldrid, Roy Navon, Hans Kristian Moen Vollan, et al.. (2011). Ischemia caused by time to freezing induces systematic microRNA and mRNA responses in cancer tissue. Molecular Oncology. 5(6). 564–576. 25 indexed citations
16.
Geisler, Jürgen, Per Eystein Lønning, Lars Erik Krag, et al.. (2006). Changes in bone and lipid metabolism in postmenopausal women with early breast cancer after terminating 2-year treatment with exemestane: A randomised, placebo-controlled study. European Journal of Cancer. 42(17). 2968–2975. 84 indexed citations
17.
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
18.
Kutzsche, Stefan, Ellen Schlichting, Trude Aspelin, & Torstein Lyberg. (2000). Hemodynamic Changes and Systemic Activation of Coagulation and Fibrinolysis During Controlled Endotoxemia in Pigs. Thrombosis Research. 98(6). 517–529. 5 indexed citations
19.
Borgen, Elin, Klaus Beiske, Sissel Trachsel, et al.. (1998). Immunocytochemical detection of isolated epithelial cells in bone marrow: non-specific staining and contribution by plasma cells directly reactive to alkaline phosphatase. The Journal of Pathology. 185(4). 427–434. 112 indexed citations
20.
Meling, GI, TO Rognum, O. P. F. Clausen, et al.. (1992). Serum Carcinoembryonic Antigen in Relation to Survival, DNA Ploidy Pattern, and Recurrent Disease in 406 Colorectal Carcinoma Patients. Scandinavian Journal of Gastroenterology. 27(12). 1061–1068. 19 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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