Zanina Grieg

528 total citations
11 papers, 408 citations indexed

About

Zanina Grieg is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Zanina Grieg has authored 11 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Zanina Grieg's work include Glioma Diagnosis and Treatment (3 papers), Signaling Pathways in Disease (2 papers) and Epigenetics and DNA Methylation (2 papers). Zanina Grieg is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Signaling Pathways in Disease (2 papers) and Epigenetics and DNA Methylation (2 papers). Zanina Grieg collaborates with scholars based in Norway, Denmark and United States. Zanina Grieg's co-authors include Iver A. Langmoen, Cecilie Sandberg, Einar Osland Vik-Mo, Mrinal Joel, Biljana Stangeland, Wayne Murrell, Ståle Nygård, Erlend Skaga, Jinan Behnan and Torstein R. Meling and has published in prestigious journals such as PLoS ONE, Circulation Research and Experimental Cell Research.

In The Last Decade

Zanina Grieg

11 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zanina Grieg Norway 10 244 99 92 78 48 11 408
Armelle Le Guelte France 11 276 1.1× 66 0.7× 112 1.2× 136 1.7× 72 1.5× 11 479
Kevin J. Pridham United States 13 349 1.4× 62 0.6× 102 1.1× 58 0.7× 64 1.3× 23 485
Tim Hamilton United States 6 499 2.0× 45 0.5× 48 0.5× 60 0.8× 95 2.0× 6 718
Andrew Bernath United States 8 409 1.7× 50 0.5× 69 0.8× 40 0.5× 54 1.1× 9 478
Sami Khoshyomn United States 13 166 0.7× 107 1.1× 52 0.6× 88 1.1× 66 1.4× 31 496
Samuel Rivero-Hinojosa United States 14 401 1.6× 58 0.6× 124 1.3× 69 0.9× 15 0.3× 27 630
Leire Moreno‐Cugnon Spain 12 311 1.3× 140 1.4× 193 2.1× 86 1.1× 26 0.5× 17 557
О. С. Плеханова Russia 13 206 0.8× 30 0.3× 209 2.3× 42 0.5× 33 0.7× 34 485
Haolang Ming China 9 176 0.7× 74 0.7× 108 1.2× 65 0.8× 39 0.8× 18 321
Kelsey C. Bertrand United States 10 215 0.9× 86 0.9× 93 1.0× 44 0.6× 34 0.7× 22 346

Countries citing papers authored by Zanina Grieg

Since Specialization
Citations

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

Fields of papers citing papers by Zanina Grieg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zanina Grieg

This figure shows the co-authorship network connecting the top 25 collaborators of Zanina Grieg. A scholar is included among the top collaborators of Zanina Grieg 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 Zanina Grieg. Zanina Grieg 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.
Skaga, Erlend, et al.. (2019). The efficacy of a coordinated pharmacological blockade in glioblastoma stem cells with nine repurposed drugs using the CUSP9 strategy. Journal of Cancer Research and Clinical Oncology. 145(6). 1495–1507. 46 indexed citations
2.
Sandberg, Cecilie, et al.. (2018). Phenotypic and Expressional Heterogeneity in the Invasive Glioma Cells. Translational Oncology. 12(1). 122–133. 27 indexed citations
3.
4.
Joel, Mrinal, Zanina Grieg, Wayne Murrell, et al.. (2015). Targeting PBK/TOPK decreases growth and survival of glioma initiating cells in vitro and attenuates tumor growth in vivo. Molecular Cancer. 14(1). 121–121. 80 indexed citations
5.
Grieg, Zanina, Håvard Kjesbu Skjellegrind, Mrinal Joel, et al.. (2015). Knockdown of NAT12/NAA30 reduces tumorigenic features of glioblastoma-initiating cells. Molecular Cancer. 14(1). 160–160. 29 indexed citations
6.
Sandberg, Cecilie, et al.. (2015). Wnt inhibition is dysregulated in gliomas and its re-establishment inhibits proliferation and tumor sphere formation. Experimental Cell Research. 340(1). 53–61. 35 indexed citations
7.
Stangeland, Biljana, Zanina Grieg, Cecilie Sandberg, et al.. (2015). Combined expressional analysis, bioinformatics and targeted proteomics identify new potential therapeutic targets in glioblastoma stem cells. Oncotarget. 6(28). 26192–26215. 82 indexed citations
8.
Murrell, Wayne, John Bianco, Biljana Stangeland, et al.. (2013). Expansion of Multipotent Stem Cells from the Adult Human Brain. PLoS ONE. 8(8). e71334–e71334. 38 indexed citations
9.
Jensen, Jesper K., Jonas Hallén, T. Lund, et al.. (2011). Troponin I degradation in serum of patients with acute ischemic stroke. Scandinavian Journal of Clinical and Laboratory Investigation. 71(1). 74–80. 5 indexed citations
10.
Madsen, Lene Helleskov, T. Lund, Zanina Grieg, et al.. (2009). Cardiac Troponin I Degradation in Serum of Patients with Hypertrophic Obstructive Cardiomyopathy Undergoing Percutaneous Septal Ablation. Cardiology. 114(3). 167–173. 9 indexed citations
11.
Madsen, Lene Helleskov, Geir Christensen, T. Lund, et al.. (2006). Time Course of Degradation of Cardiac Troponin I in Patients With Acute ST-Elevation Myocardial Infarction. Circulation Research. 99(10). 1141–1147. 42 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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