Eldri U. Due

899 total citations
11 papers, 443 citations indexed

About

Eldri U. Due is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Eldri U. Due has authored 11 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 6 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Eldri U. Due's work include HER2/EGFR in Cancer Research (3 papers), Cancer-related molecular mechanisms research (3 papers) and Cancer Genomics and Diagnostics (2 papers). Eldri U. Due is often cited by papers focused on HER2/EGFR in Cancer Research (3 papers), Cancer-related molecular mechanisms research (3 papers) and Cancer Genomics and Diagnostics (2 papers). Eldri U. Due collaborates with scholars based in Norway, United States and Finland. Eldri U. Due's co-authors include Kristine Kleivi Sahlberg, Anne‐Lise Børresen‐Dale, Olli Kallioniemi, Merja Perälä, Rami Mäkelä, Suvi‐Katri Leivonen, Vesa Hongisto, Hans Kristian Moen Vollan, Ole Christian Lingjærde and Henrik Edgren and has published in prestigious journals such as PLoS ONE, International Journal of Cancer and European Journal of Cancer.

In The Last Decade

Eldri U. Due

11 papers receiving 439 citations

Peers

Eldri U. Due
Erin A. Nekritz United States
Matthew Ashenden United Kingdom
Erick Romàn-Pèrez United States
Aviva P. Ventura United States
Yaning He China
Alexandre Dimtchev United States
Erin A. Nekritz United States
Eldri U. Due
Citations per year, relative to Eldri U. Due Eldri U. Due (= 1×) peers Erin A. Nekritz

Countries citing papers authored by Eldri U. Due

Since Specialization
Citations

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

Fields of papers citing papers by Eldri U. Due

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eldri U. Due. 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 Eldri U. Due. The network helps show where Eldri U. Due may publish in the future.

Co-authorship network of co-authors of Eldri U. Due

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

All Works

11 of 11 papers shown
1.
Jernström, Sandra, Vesa Hongisto, Suvi‐Katri Leivonen, et al.. (2017). Drug-screening and genomic analyses of HER2-positive breast cancer cell lines reveal predictors for treatment response. Breast Cancer Targets and Therapy. Volume 9. 185–198. 24 indexed citations
2.
Haukaas, Tonje H., Leslie R. Euceda, Guro F. Giskeødegård, et al.. (2016). Metabolic clusters of breast cancer in relation to gene- and protein expression subtypes. Cancer & Metabolism. 4(1). 56 indexed citations
3.
Aure, Miriam R. R., Sandra Jernström, Marit Krohn, et al.. (2015). Integrated analysis reveals microRNA networks coordinately expressed with key proteins in breast cancer. Genome Medicine. 7(1). 21–21. 25 indexed citations
4.
Reiche, Kristin, Katharina Kasack, S Schreiber, et al.. (2014). Long Non-Coding RNAs Differentially Expressed between Normal versus Primary Breast Tumor Tissues Disclose Converse Changes to Breast Cancer-Related Protein-Coding Genes. PLoS ONE. 9(9). e106076–e106076. 35 indexed citations
5.
Aure, Miriam R. R., Sandra Jernström, Marit Krohn, et al.. (2014). 331: Integrative analysis reveals extensive association between microRNA expression and mRNA–protein translation. European Journal of Cancer. 50. S79–S79. 1 indexed citations
6.
Leivonen, Suvi‐Katri, Kristine Kleivi Sahlberg, Rami Mäkelä, et al.. (2013). High‐throughput screens identify microRNAs essential for HER2 positive breast cancer cell growth. Molecular Oncology. 8(1). 93–104. 146 indexed citations
7.
Sahlberg, Kristine Kleivi, Vesa Hongisto, Henrik Edgren, et al.. (2012). The HER2 amplicon includes several genes required for the growth and survival of HER2 positive breast cancer cells. Molecular Oncology. 7(3). 392–401. 69 indexed citations
8.
Hongisto, Vesa, Kristine Kleivi Sahlberg, Henrik Edgren, et al.. (2012). 338 The HER2 Amplicon Includes Several Genes Required for the Growth and Survival of HER2 Positive Breast Cancer Cells. European Journal of Cancer. 48. S82–S83. 1 indexed citations
9.
Mathiesen, Randi R., Knut Liestøl, Eldri U. Due, et al.. (2011). High‐resolution analyses of copy number changes in disseminated tumor cells of patients with breast cancer. International Journal of Cancer. 131(4). E405–15. 44 indexed citations
10.
Zhou, Wenjing, Phuong Vu, Eldri U. Due, et al.. (2009). Full sequencing of TP53 identifies identical mutations within in situ and invasive components in breast cancer suggesting clonal evolution. Molecular Oncology. 3(3). 214–219. 23 indexed citations
11.
Bergamaschi, Anna, Eldri U. Due, Yun Wang, et al.. (2005). Evaluation of Arrayed Primer Extension for TP53 Mutation Detection in Breast and Ovarian Carcinomas. BioTechniques. 39(5). 755–761. 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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