Ivar Skaland

1.9k total citations
66 papers, 1.5k citations indexed

About

Ivar Skaland is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Ivar Skaland has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Oncology, 30 papers in Cancer Research and 17 papers in Molecular Biology. Recurrent topics in Ivar Skaland's work include Breast Cancer Treatment Studies (22 papers), HER2/EGFR in Cancer Research (13 papers) and Cervical Cancer and HPV Research (13 papers). Ivar Skaland is often cited by papers focused on Breast Cancer Treatment Studies (22 papers), HER2/EGFR in Cancer Research (13 papers) and Cervical Cancer and HPV Research (13 papers). Ivar Skaland collaborates with scholars based in Norway, Netherlands and United States. Ivar Skaland's co-authors include Einar Gudlaugsson, Jan P. A. Baak, Emiel A. M. Janssen, Emiel A. M. Janssen, Håvard Søiland, Jan Kłos, Kjell H. Kjellevold, Anaís Malpica, Irene Tveiterås Øvestad and Bianca van Diermen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Ivar Skaland

65 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivar Skaland Norway 23 565 528 467 337 238 66 1.5k
Einar Gudlaugsson Norway 25 599 1.1× 469 0.9× 699 1.5× 382 1.1× 447 1.9× 89 1.8k
Kristen A. Atkins United States 24 465 0.8× 412 0.8× 574 1.2× 303 0.9× 353 1.5× 71 1.8k
Torill Sauer Norway 25 603 1.1× 529 1.0× 851 1.8× 399 1.2× 345 1.4× 108 2.1k
G. Goovaerts Belgium 19 422 0.7× 572 1.1× 586 1.3× 170 0.5× 215 0.9× 39 1.4k
Neda A. Moatamed United States 17 313 0.6× 359 0.7× 609 1.3× 127 0.4× 321 1.3× 79 1.3k
Donavan T. Cheng United States 17 345 0.6× 429 0.8× 296 0.6× 182 0.5× 82 0.3× 29 1.2k
Kerstin Heselmeyer‐Haddad United States 21 748 1.3× 717 1.4× 612 1.3× 316 0.9× 174 0.7× 47 1.7k
Nicole Massoll United States 26 221 0.4× 510 1.0× 356 0.8× 275 0.8× 475 2.0× 41 1.7k
Natalja T. ter Haar Netherlands 26 545 1.0× 700 1.3× 677 1.4× 332 1.0× 270 1.1× 51 2.1k
Eva Musulén Spain 24 294 0.5× 494 0.9× 663 1.4× 282 0.8× 173 0.7× 60 1.5k

Countries citing papers authored by Ivar Skaland

Since Specialization
Citations

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

Fields of papers citing papers by Ivar Skaland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivar Skaland

This figure shows the co-authorship network connecting the top 25 collaborators of Ivar Skaland. A scholar is included among the top collaborators of Ivar Skaland 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 Ivar Skaland. Ivar Skaland 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.
Gudlaugsson, Einar, et al.. (2023). Automated Prognostic Assessment of Endometrial Hyperplasia for Progression Risk Evaluation Using Artificial Intelligence. Modern Pathology. 36(5). 100116–100116. 4 indexed citations
2.
Gudlaugsson, Einar, et al.. (2020). Mitotic activity index and CD25+ lymphocytes predict risk of stage progression in non-muscle invasive bladder cancer. PLoS ONE. 15(6). e0233676–e0233676. 5 indexed citations
3.
Jónsdóttir, Kristín, Ivar Skaland, Cathrine F. Hjorth, et al.. (2020). <p>Digital Image Analysis of Ki-67 Stained Tissue Microarrays and Recurrence in Tamoxifen-Treated Breast Cancer Patients</p>. Clinical Epidemiology. Volume 12. 771–781. 4 indexed citations
4.
Austdal, Marie, Einar Gudlaugsson, Jan P. A. Baak, et al.. (2019). Validation study of MARCKSL1 as a prognostic factor in lymph node-negative breast cancer patients. PLoS ONE. 14(3). e0212527–e0212527. 8 indexed citations
5.
Lende, Tone Hoel, Marie Austdal, Ivar Skaland, et al.. (2019). Influence of pre-operative oral carbohydrate loading vs. standard fasting on tumor proliferation and clinical outcome in breast cancer patients ─ a randomized trial. BMC Cancer. 19(1). 1076–1076. 15 indexed citations
6.
8.
Jónsdóttir, Kristín, Hui Zhang, Ivar Skaland, et al.. (2012). The prognostic value of MARCKS-like 1 in lymph node-negative breast cancer. Breast Cancer Research and Treatment. 135(2). 381–390. 19 indexed citations
9.
Øvestad, Irene Tveiterås, Einar Gudlaugsson, Kjell Løvslett, et al.. (2012). Consistent condom use increases spontaneous regression in high-risk non-HPV16 but not in HPV16 CIN2-3 lesions, a prospective population-based cohort study. Infectious Agents and Cancer. 7(1). 30–30. 10 indexed citations
10.
Zhang, Hui, Emiel A. M. Janssen, Ivar Skaland, et al.. (2011). The prognostic value of the orphan nuclear receptor DAX-1 (NROB1) in node-negative breast cancer.. Anticancer Research. 31(2). 443–9. 14 indexed citations
11.
Gudlaugsson, Einar, Ivar Skaland, Anaís Malpica, et al.. (2011). Molecular biomarkers in endometrial hyperplasias predict cancer progression. American Journal of Obstetrics and Gynecology. 204(4). 357.e1–357.e12. 26 indexed citations
12.
Øvestad, Irene Tveiterås, Einar Gudlaugsson, Ivar Skaland, et al.. (2010). Local immune response in the microenvironment of CIN2–3 with and without spontaneous regression. Modern Pathology. 23(9). 1231–1240. 59 indexed citations
13.
Janssen, Emiel A. M., Einar Gudlaugsson, Kristín Jónsdóttir, et al.. (2010). Biologic profiling of lymph node negative breast cancers by means of microRNA expression. Modern Pathology. 23(12). 1567–1576. 56 indexed citations
16.
Skaland, Ivar, Irene Tveiterås Øvestad, Emiel A. M. Janssen, et al.. (2008). Digital Image Analysis Improves the Quality of Subjective HER-2 Expression Scoring in Breast Cancer. Applied immunohistochemistry & molecular morphology. 16(2). 185–190. 25 indexed citations
17.
Søiland, Håvard, Ivar Skaland, Bianca van Diermen, et al.. (2008). Androgen Receptor Determination in Breast Cancer. Applied immunohistochemistry & molecular morphology. 16(4). 362–370. 4 indexed citations
18.
Skaland, Ivar, Irene Tveiterås Øvestad, Emiel A. M. Janssen, et al.. (2007). Comparing subjective and digital image analysis HER2/neu expression scores with conventional and modified FISH scores in breast cancer. Journal of Clinical Pathology. 61(1). 68–71. 55 indexed citations
19.
Janssen, Emiel A. M., Håvard Søiland, Ivar Skaland, et al.. (2007). Comparing the Prognostic Value of PTEN and Akt Expression with the Mitotic Activity Index in Adjuvant Chemotherapy‐Treated Node‐Negative Breast Cancer patients aged <55 years. Analytical Cellular Pathology. 29(1). 25–35. 16 indexed citations
20.
Baak, Jan P. A., Bianca van Diermen, Emiel A. M. Janssen, et al.. (2005). Lack of PTEN expression in endometrial intraepithelial neoplasia is correlated with cancer progression. Human Pathology. 36(5). 555–561. 49 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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