Lars A. Akslen

1.3k total citations
19 papers, 1.1k citations indexed

About

Lars A. Akslen is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Lars A. Akslen has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Lars A. Akslen's work include Cutaneous Melanoma Detection and Management (3 papers), Heavy Metal Exposure and Toxicity (2 papers) and BRCA gene mutations in cancer (2 papers). Lars A. Akslen is often cited by papers focused on Cutaneous Melanoma Detection and Management (3 papers), Heavy Metal Exposure and Toxicity (2 papers) and BRCA gene mutations in cancer (2 papers). Lars A. Akslen collaborates with scholars based in Norway, Germany and Australia. Lars A. Akslen's co-authors include J.R. Lillehaug, Dagny Faksvåg Haugen, Ian Jacobs, Nicola MacDonald, Soma Das, Andy Ryan, Eric D. Lynch, Stephanie Geisler, Hilde Johnsen and Øystein Fluge and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer and British Journal of Cancer.

In The Last Decade

Lars A. Akslen

19 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars A. Akslen Norway 13 543 432 285 129 123 19 1.1k
Jean-Michel Foidart Belgium 14 308 0.6× 256 0.6× 382 1.3× 187 1.4× 250 2.0× 20 1.1k
Ayumi Hongo Japan 17 508 0.9× 370 0.9× 177 0.6× 102 0.8× 47 0.4× 31 944
Patrick Muraca United States 11 463 0.9× 373 0.9× 182 0.6× 124 1.0× 100 0.8× 11 994
Federica Torricelli Italy 18 471 0.9× 208 0.5× 212 0.7× 131 1.0× 137 1.1× 80 1.0k
W. B�cker Germany 20 398 0.7× 321 0.7× 88 0.3× 173 1.3× 115 0.9× 43 1.0k
Ken Ueki Japan 16 375 0.7× 223 0.5× 132 0.5× 61 0.5× 54 0.4× 33 882
Sung‐Im Do South Korea 16 399 0.7× 340 0.8× 258 0.9× 48 0.4× 35 0.3× 84 913
Cristina Pons Spain 17 478 0.9× 299 0.7× 303 1.1× 34 0.3× 114 0.9× 24 1.2k
M. L. Carcangiu United States 11 585 1.1× 340 0.8× 159 0.6× 511 4.0× 310 2.5× 13 1.4k
G R Johnson United States 15 499 0.9× 469 1.1× 86 0.3× 41 0.3× 104 0.8× 16 1.0k

Countries citing papers authored by Lars A. Akslen

Since Specialization
Citations

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

Fields of papers citing papers by Lars A. Akslen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars A. Akslen. 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 Lars A. Akslen. The network helps show where Lars A. Akslen may publish in the future.

Co-authorship network of co-authors of Lars A. Akslen

This figure shows the co-authorship network connecting the top 25 collaborators of Lars A. Akslen. A scholar is included among the top collaborators of Lars A. Akslen 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 Lars A. Akslen. Lars A. Akslen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Lambrechts, Diether, Lieve Coenegrachts, Ingrid Vandenput, et al.. (2012). High-throughput interrogation of PIK3CA, PTEN, KRAS, FBXW7 and TP53 mutations in primary endometrial carcinoma. Gynecologic Oncology. 128(2). 327–334. 63 indexed citations
2.
Mauland, Karen K., Jone Trovik, Elisabeth Wik, et al.. (2011). High BMI is significantly associated with positive progesterone receptor status and clinico-pathological markers for non-aggressive disease in endometrial cancer. British Journal of Cancer. 104(6). 921–926. 41 indexed citations
3.
Arnes, Jarle B., et al.. (2008). Expression of epidermal growth factor receptor in relation to BRCA1 status, basal-like markers and prognosis in breast cancer. Journal of Clinical Pathology. 62(2). 139–146. 30 indexed citations
4.
Foulkes, William D. & Lars A. Akslen. (2004). RESPONSE: Re: Germline BRCA1 Mutations and a Basal Epithelial Phenotype in Breast Cancer. JNCI Journal of the National Cancer Institute. 96(9). 714–714. 1 indexed citations
5.
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
6.
MacDonald, Nicola, Andy Ryan, Ian Jacobs, et al.. (2000). PTEN methylation is associated with advanced stage and microsatellite instability in endometrial carcinoma. International Journal of Cancer. 91(1). 22–26. 245 indexed citations
7.
Heuch, Ivar, et al.. (1998). Risk of primary childhood brain tumors related to birth characteristics: A Norwegian prospective study. International Journal of Cancer. 77(4). 498–503. 59 indexed citations
8.
Halvorsen, Ole J., Svein A. Haukaas, Per Å. Høisæter, & Lars A. Akslen. (1997). Expression of p 16 protein in prostatic adenocarcinomas, intraepithelial neoplasia, and benign/hyperplastic glands. Urologic Oncology Seminars and Original Investigations. 3(2). 59–66. 7 indexed citations
9.
Frich, Lars, Lars A. Akslen, & Eystein Glattre. (1997). Increased risk of thyroid cancer among Norwegian women married to fishery workers – a retrospective cohort study. British Journal of Cancer. 76(3). 385–389. 16 indexed citations
10.
Haugen, Dagny Faksvåg, Lars A. Akslen, Jan Erik Varhaug, & J.R. Lillehaug. (1996). Expression of c-erbB-3 and c-erbB-4 proteins in papillary thyroid carcinomas.. PubMed. 56(6). 1184–8. 64 indexed citations
11.
Akslen, Lars A.. (1993). Prognostic importance of histologic grading in papillary thyroid carcinoma. Cancer. 72(9). 2680–2685. 104 indexed citations
12.
Akslen, Lars A., Andreas O. Myking, Odd Mørkve, et al.. (1990). Increased Content of Chromium and Nickel in Lung Tissues from Patients with Bronchial Carcinoma. Pathology - Research and Practice. 186(6). 717–722. 9 indexed citations
13.
Raithel, H. J., et al.. (1989). Analyses of chromium and nickel in human pulmonary tissue. International Archives of Occupational and Environmental Health. 61(8). 507–512. 14 indexed citations
14.
Akslen, Lars A. & Andreas O. Myking. (1989). Balloon Cell Melanoma Mimicking Clear Cell Carcinoma. Pathology - Research and Practice. 184(5). 548–550. 7 indexed citations
15.
Akslen, Lars A., et al.. (1989). [Mortality of patients with differentiated thyroid carcinoma in Norway. The influence of sex, age, tumor stage, histologic type and residence at the time of diagnosis].. PubMed. 109(16). 1765–9. 2 indexed citations
16.
Akslen, Lars A., Knut-Jan Andersen, & Rolf Bjerkvig. (1988). Characteristics of human and rat glioma cells grown in a defined medium.. PubMed. 8(4). 797–803. 72 indexed citations
17.
Knudtzon, J, Lage Aksnes, Lars A. Akslen, & Dagfinn Aarskog. (1987). Elevated 1,25‐dihydroxyvitamin D and normocalcaemia in presumed familial Williams syndrome. Clinical Genetics. 32(6). 369–374. 17 indexed citations
18.
Akslen, Lars A., et al.. (1987). Malignant Melanoma of the Skin. Oncology. 44(3). 156–158. 2 indexed citations
19.
Akslen, Lars A., et al.. (1987). Metastatic distribution in malignant melanoma. A 30-year autopsy study.. PubMed. 7(5). 253–63. 40 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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