Mette Eknæs

1.3k total citations
17 papers, 999 citations indexed

About

Mette Eknæs is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Mette Eknæs has authored 17 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Pathology and Forensic Medicine and 6 papers in Surgery. Recurrent topics in Mette Eknæs's work include Genetic factors in colorectal cancer (7 papers), Epigenetics and DNA Methylation (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Mette Eknæs is often cited by papers focused on Genetic factors in colorectal cancer (7 papers), Epigenetics and DNA Methylation (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Mette Eknæs collaborates with scholars based in Norway, Portugal and Finland. Mette Eknæs's co-authors include Ragnhild A. Lothe, Guro E. Lind, Manuel R. Teixeira, Rolf I. Skotheim, Stine A. Danielsen, Rui Henrique, Cármen Jerónimo, Chieu B. Diep, Jarle Bruun and Ina A. Eilertsen and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Mette Eknæs

17 papers receiving 996 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mette Eknæs Norway	16	573	247	245	228	214	17	999
Robert Cummins Ireland	20	487 0.8×	220 0.9×	399 1.6×	159 0.7×	151 0.7×	46	1.1k
Terje Ahlquist Norway	16	567 1.0×	301 1.2×	430 1.8×	387 1.7×	115 0.5×	20	1.2k
Dehe Kong United States	11	825 1.4×	482 2.0×	257 1.0×	363 1.6×	191 0.9×	15	1.3k
Martin Werner Germany	12	319 0.6×	192 0.8×	252 1.0×	119 0.5×	226 1.1×	21	837
Gaku Kigawa Japan	21	794 1.4×	276 1.1×	421 1.7×	234 1.0×	190 0.9×	70	1.2k
Pau Castel United States	13	801 1.4×	153 0.6×	319 1.3×	124 0.5×	151 0.7×	39	1.1k
Melissa Dumble United States	17	749 1.3×	244 1.0×	411 1.7×	91 0.4×	203 0.9×	28	1.3k
Kaname Yamashita Japan	15	411 0.7×	361 1.5×	442 1.8×	108 0.5×	117 0.5×	51	976
Nam-Gyun Kim South Korea	9	428 0.7×	305 1.2×	157 0.6×	122 0.5×	121 0.6×	11	854
Valentina Sancisi Italy	22	816 1.4×	290 1.2×	360 1.5×	117 0.5×	129 0.6×	33	1.5k

Countries citing papers authored by Mette Eknæs

Since Specialization

Citations

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

Fields of papers citing papers by Mette Eknæs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mette Eknæs

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

All Works

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17 of 17 papers shown

Vedeld, Hege Marie, Marianne A. Merok, Marine Jeanmougin, et al.. (2017). CpG island methylator phenotype identifies high risk patients among microsatellite stable BRAF mutated colorectal cancers. International Journal of Cancer. 141(5). 967–976. 40 indexed citations

Berg, Kaja C. G., Peter W. Eide, Ina A. Eilertsen, et al.. (2017). Multi-omics of 34 colorectal cancer cell lines - a resource for biomedical studies. Molecular Cancer. 16(1). 116–116. 284 indexed citations

Løvf, Marthe, Torfinn Nome, Jarle Bruun, et al.. (2014). A novel transcript, VNN1‐AB, as a biomarker for colorectal cancer. International Journal of Cancer. 135(9). 2077–2084. 14 indexed citations

Honne, Hilde, Gunhild Trøen, Mette Eknæs, et al.. (2013). Identification of Highly Methylated Genes across Various Types of B-Cell Non-Hodgkin Lymphoma. PLoS ONE. 8(11). e79602–e79602. 19 indexed citations

Lothe, Ragnhild A., Hilde Honne, Kim Andresen, et al.. (2013). Colorectal cancer DNA methylation marker panel validated with high performance in Non-Hodgkin lymphoma. Epigenetics. 9(3). 428–436. 31 indexed citations

Costa, Vera L., Rui Henrique, Stine A. Danielsen, et al.. (2011). TCF21andPCDH17methylation: An innovative panel of biomarkers for a simultaneous detection of urological cancers. Epigenetics. 6(9). 1120–1130. 86 indexed citations

Costa, Vera L., Rui Henrique, Stine A. Danielsen, et al.. (2010). Three Epigenetic Biomarkers, GDF15 , TMEFF2 , and VIM , Accurately Predict Bladder Cancer from DNA-Based Analyses of Urine Samples. Clinical Cancer Research. 16(23). 5842–5851. 139 indexed citations

Ribeiro, Franclim R., Matthias Kolberg, Trude H. Ågesen, et al.. (2010). Genomic Changes in Chromosomes 10, 16, and X in Malignant Peripheral Nerve Sheath Tumors Identify a High-Risk Patient Group. Journal of Clinical Oncology. 28(9). 1573–1582. 38 indexed citations

Lind, Guro E., Terje Ahlquist, Matthias Kolberg, et al.. (2008). Hypermethylated MAL gene – a silent marker of early colon tumorigenesis. Journal of Translational Medicine. 6(1). 13–13. 45 indexed citations

10.

Ribeiro, Franclim R., Chieu B. Diep, Cármen Jerónimo, et al.. (2005). Statistical dissection of genetic pathways involved in prostate carcinogenesis. Genes Chromosomes and Cancer. 45(2). 154–163. 38 indexed citations

11.

Castro, Patrícia, Mette Eknæs, Manuel R. Teixeira, et al.. (2005). Adenomas and follicular carcinomas of the thyroid display two major patterns of chromosomal changes. The Journal of Pathology. 206(3). 305–311. 24 indexed citations

12.

Diep, Chieu B., Manuel R. Teixeira, Lin Thorstensen, et al.. (2004). Genome characteristics of primary carcinomas, local recurrences, carcinomatoses, and liver metastases from colorectal cancer patients.. Molecular Cancer. 3(1). 6–6. 40 indexed citations

13.

Sahlberg, Kristine Kleivi, Manuel R. Teixeira, Mette Eknæs, et al.. (2004). Genome signatures of colon carcinoma cell lines. Cancer Genetics and Cytogenetics. 155(2). 119–131. 57 indexed citations

14.

Teixeira, Manuel R., Franclim R. Ribeiro, Mette Eknæs, et al.. (2004). Genomic analysis of prostate carcinoma specimens obtained via ultrasound‐guided needle biopsy may be of use in preoperative decision‐making. Cancer. 101(8). 1786–1793. 21 indexed citations

15.

Brandal, Petter, Francesca Micci, Bodil Bjerkehagen, et al.. (2003). Molecular cytogenetic characterization of desmoid tumors. Cancer Genetics and Cytogenetics. 146(1). 1–7. 18 indexed citations

16.

Kraggerud, Sigrid Marie, Rolf I. Skotheim, Jadwiga A. Szymańska, et al.. (2002). Genome profiles of familial/bilateral and sporadic testicular germ cell tumors. Genes Chromosomes and Cancer. 34(2). 168–174. 67 indexed citations

17.

Diep, Chieu B., Luis A. Parada, Manuel R. Teixeira, et al.. (2002). Genetic profiling of colorectal cancer liver metastases by combined comparative genomic hybridization and G‐banding analysis. Genes Chromosomes and Cancer. 36(2). 189–197. 38 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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