Siver Andreas Moestue

2.2k total citations
57 papers, 1.4k citations indexed

About

Siver Andreas Moestue is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Siver Andreas Moestue has authored 57 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 23 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Cancer Research. Recurrent topics in Siver Andreas Moestue's work include Advanced MRI Techniques and Applications (15 papers), Cancer, Hypoxia, and Metabolism (14 papers) and MRI in cancer diagnosis (10 papers). Siver Andreas Moestue is often cited by papers focused on Advanced MRI Techniques and Applications (15 papers), Cancer, Hypoxia, and Metabolism (14 papers) and MRI in cancer diagnosis (10 papers). Siver Andreas Moestue collaborates with scholars based in Norway, United States and United Kingdom. Siver Andreas Moestue's co-authors include Ingrid S. Gribbestad, Tone F. Bathen, Gunhild M. Mælandsmo, Beathe Sitter, May‐Britt Tessem, Olav Engebraaten, Anna Barkovskaya, Harri M. Itkonen, Else Marie Huuse and Lu Jiang and has published in prestigious journals such as Cancer Research, Scientific Reports and The FASEB Journal.

In The Last Decade

Siver Andreas Moestue

57 papers receiving 1.4k citations

Peers

Siver Andreas Moestue
Ellen Ackerstaff United States
Jessica K.R. Boult United Kingdom
Ross J. Maxwell United Kingdom
Aparna H. Kesarwala United States
Brian P. Lieberman United States
Doris R. Siwak United States
C. J. Koch United States
Ellen Ackerstaff United States
Siver Andreas Moestue
Citations per year, relative to Siver Andreas Moestue Siver Andreas Moestue (= 1×) peers Ellen Ackerstaff

Countries citing papers authored by Siver Andreas Moestue

Since Specialization
Citations

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

Fields of papers citing papers by Siver Andreas Moestue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siver Andreas Moestue. 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 Siver Andreas Moestue. The network helps show where Siver Andreas Moestue may publish in the future.

Co-authorship network of co-authors of Siver Andreas Moestue

This figure shows the co-authorship network connecting the top 25 collaborators of Siver Andreas Moestue. A scholar is included among the top collaborators of Siver Andreas Moestue 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 Siver Andreas Moestue. Siver Andreas Moestue 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.
Korsnes, Mónica Suárez, et al.. (2024). Single-cell tracking as a tool for studying EMT-phenotypes. Experimental Cell Research. 437(1). 113993–113993. 1 indexed citations
2.
Giampà, Marco, Maria Andersen, Sebastian Krossa, et al.. (2023). Visualization of Small Intact Proteins in Breast Cancer FFPE Tissue. Methods in molecular biology. 2688. 161–172. 1 indexed citations
3.
Moestue, Siver Andreas, et al.. (2022). Castration-resistant prostate cancer cells are dependent on the high activity of CDK7. Journal of Cancer Research and Clinical Oncology. 149(8). 5255–5263. 9 indexed citations
4.
Wang, Qiong, et al.. (2021). EMT-Derived Alterations in Glutamine Metabolism Sensitize Mesenchymal Breast Cells to mTOR Inhibition. Molecular Cancer Research. 19(9). 1546–1558. 8 indexed citations
5.
Pandya, Abhilash, Tore‐Geir Iversen, Siver Andreas Moestue, et al.. (2021). Biodistribution of Poly(alkyl cyanoacrylate) Nanoparticles in Mice and Effect on Tumor Infiltration of Macrophages into a Patient-Derived Breast Cancer Xenograft. Nanomaterials. 11(5). 1140–1140. 10 indexed citations
6.
Denti, Vanna, Maria Andersen, Andrew Smith, et al.. (2021). Reproducible Lipid Alterations in Patient-Derived Breast Cancer Xenograft FFPE Tissue Identified with MALDI MSI for Pre-Clinical and Clinical Application. Metabolites. 11(9). 577–577. 12 indexed citations
7.
Hill, Deborah K., Trygve Andreassen, Jan Henrik Ardenkjær‐Larsen, et al.. (2021). Classification and biomarker identification of prostate tissue from TRAMP mice with hyperpolarized 13C-SIRA. Talanta. 235. 122812–122812. 11 indexed citations
8.
Barkovskaya, Anna, et al.. (2020). Inhibition of O-GlcNAc transferase activates tumor-suppressor gene expression in tamoxifen-resistant breast cancer cells. Scientific Reports. 10(1). 16992–16992. 30 indexed citations
9.
Selnæs, Kirsten M., Mattijs Elschot, May‐Britt Tessem, et al.. (2020). Detection of Recurrent Prostate Cancer With 18F-Fluciclovine PET/MRI. Frontiers in Oncology. 10. 582092–582092. 11 indexed citations
10.
Barkovskaya, Anna, et al.. (2019). O-GlcNAc Transferase Inhibition Differentially Affects Breast Cancer Subtypes. Scientific Reports. 9(1). 5670–5670. 29 indexed citations
11.
Popov, Anatoliy V., et al.. (2019). Detection and Differentiation of Breast Cancer Sub-Types using a cPLA2α Activatable Fluorophore. Scientific Reports. 9(1). 6122–6122. 13 indexed citations
12.
Euceda, Leslie R., et al.. (2018). NMR-Based Prostate Cancer Metabolomics. Methods in molecular biology. 1786. 237–257. 10 indexed citations
13.
Kim, Jana, Eugene Kim, Leslie R. Euceda, et al.. (2017). Multiparametric characterization of response to anti‐angiogenic therapy using USPIO contrast‐enhanced MRI in combination with dynamic contrast‐enhanced MRI. Journal of Magnetic Resonance Imaging. 47(6). 1589–1600. 11 indexed citations
14.
Li, Pengfei, Susan Hoppmann, Ping Du, et al.. (2017). Pharmacokinetics of Perfluorobutane after Intra-Venous Bolus Injection of Sonazoid in Healthy Chinese Volunteers. Ultrasound in Medicine & Biology. 43(5). 1031–1039. 20 indexed citations
15.
Jia, Min, Trygve Andreassen, Lasse D. Jensen, et al.. (2016). Estrogen Receptor α Promotes Breast Cancer by Reprogramming Choline Metabolism. Cancer Research. 76(19). 5634–5646. 49 indexed citations
16.
Haukaas, Tonje H., Siver Andreas Moestue, Riyas Vettukattil, et al.. (2016). Impact of Freezing Delay Time on Tissue Samples for Metabolomic Studies. Frontiers in Oncology. 6. 17–17. 37 indexed citations
17.
Huuse, Else Marie, Eugene Kim, Sonja Andersen, et al.. (2014). MRI reveals the in vivo cellular and vascular response to BEZ235 in ovarian cancer xenografts with different PI3-kinase pathway activity. British Journal of Cancer. 112(3). 504–513. 23 indexed citations
18.
Huuse, Else Marie, Siver Andreas Moestue, Tone F. Bathen, et al.. (2011). In vivo MRI and histopathological assessment of tumor microenvironment in luminal‐like and basal‐like breast cancer xenografts. Journal of Magnetic Resonance Imaging. 35(5). 1098–1107. 27 indexed citations
19.
Moestue, Siver Andreas, Andrew Healey, Roger M. Bjerke, et al.. (2009). Whole‐body section fluorescence imaging – a novel method for tissue distribution studies of fluorescent substances. Contrast Media & Molecular Imaging. 4(2). 73–80. 5 indexed citations
20.
Pedersen‐Bjergaard, Stig, et al.. (2000). Microemulsion electrokinetic chromatography in suppressed electroosmotic flow environment. Journal of Chromatography A. 876(1-2). 201–211. 71 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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