Ann Mari Rosager

650 total citations
9 papers, 408 citations indexed

About

Ann Mari Rosager is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Ann Mari Rosager has authored 9 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Ann Mari Rosager's work include Glioma Diagnosis and Treatment (6 papers), Ferroptosis and cancer prognosis (2 papers) and Cancer Cells and Metastasis (2 papers). Ann Mari Rosager is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Ferroptosis and cancer prognosis (2 papers) and Cancer Cells and Metastasis (2 papers). Ann Mari Rosager collaborates with scholars based in Denmark, Spain and United States. Ann Mari Rosager's co-authors include Bjarne Winther Kristensen, Justin D. Lathia, David L. Schonberg, Jeremy N. Rich, Rikke Hedegaard Dahlrot, Steinbjørn Hansen, Stephen C. Mack, Tyler E. Miller, William Flavahan and James R. Connor and has published in prestigious journals such as PLoS ONE, Cancer Cell and Scientific Reports.

In The Last Decade

Ann Mari Rosager

9 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann Mari Rosager Denmark 7 214 147 124 113 80 9 408
Jeffrey Raizer United States 8 114 0.5× 75 0.5× 220 1.8× 158 1.4× 128 1.6× 12 390
Yannève Rolland Canada 10 194 0.9× 74 0.5× 48 0.4× 41 0.4× 83 1.0× 11 344
Karel Zitterbart Czechia 14 291 1.4× 103 0.7× 84 0.7× 97 0.9× 198 2.5× 33 486
Kouichi Tabu Japan 14 332 1.6× 134 0.9× 124 1.0× 88 0.8× 268 3.4× 30 629
Emilio Cosimo United Kingdom 15 306 1.4× 115 0.8× 158 1.3× 42 0.4× 133 1.7× 21 595
Stephen Y. Chih United States 5 178 0.8× 129 0.9× 53 0.4× 176 1.6× 80 1.0× 6 399
Christopher J. Pirozzi United States 12 374 1.7× 246 1.7× 255 2.1× 105 0.9× 101 1.3× 25 689
Lingge Lu Sweden 10 407 1.9× 123 0.8× 43 0.3× 31 0.3× 84 1.1× 13 550
Yong-Kil Hong South Korea 15 234 1.1× 151 1.0× 255 2.1× 73 0.6× 166 2.1× 24 519
Daisuke Kawauchi Japan 12 199 0.9× 65 0.4× 152 1.2× 54 0.5× 68 0.8× 29 375

Countries citing papers authored by Ann Mari Rosager

Since Specialization
Citations

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

Fields of papers citing papers by Ann Mari Rosager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann Mari Rosager. 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 Ann Mari Rosager. The network helps show where Ann Mari Rosager may publish in the future.

Co-authorship network of co-authors of Ann Mari Rosager

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

All Works

9 of 9 papers shown
1.
Jensen, Charlotte Harken, Tilde Eskildsen, Christina Baun, et al.. (2024). Pericardial delta like non‐canonical NOTCH ligand 1 (Dlk1) augments fibrosis in the heart through epithelial to mesenchymal transition. Clinical and Translational Medicine. 14(2). e1565–e1565. 5 indexed citations
2.
Dahlrot, Rikke Hedegaard, Jeanette Krogh Petersen, Ann Mari Rosager, et al.. (2021). Prognostic role of Ki-67 in glioblastomas excluding contribution from non-neoplastic cells. Scientific Reports. 11(1). 17918–17918. 31 indexed citations
3.
Rosager, Ann Mari, et al.. (2021). The Epigenetic Regulator Jumonji Domain-Containing Protein 6 (JMJD6) Is Highly Expressed but Not Prognostic in IDH-Wildtype Glioblastoma Patients. Journal of Neuropathology & Experimental Neurology. 81(1). 54–60. 2 indexed citations
4.
Rosager, Ann Mari, Mia Dahl Sørensen, Rikke Hedegaard Dahlrot, et al.. (2017). Transferrin receptor-1 and ferritin heavy and light chains in astrocytic brain tumors: Expression and prognostic value. PLoS ONE. 12(8). e0182954–e0182954. 54 indexed citations
5.
Rosager, Ann Mari, Mia Dahl Sørensen, Rikke Hedegaard Dahlrot, et al.. (2017). Expression and prognostic value of JAM-A in gliomas. Journal of Neuro-Oncology. 135(1). 107–117. 17 indexed citations
6.
Jensen, Stine Skov, Morten Meyer, Bo Halle, et al.. (2016). Establishment and Characterization of a Tumor Stem Cell-Based Glioblastoma Invasion Model. PLoS ONE. 11(7). e0159746–e0159746. 25 indexed citations
7.
Schonberg, David L., Tyler E. Miller, Qiulian Wu, et al.. (2015). Preferential Iron Trafficking Characterizes Glioblastoma Stem-like Cells. Cancer Cell. 28(4). 441–455. 252 indexed citations
8.
Dahlrot, Rikke Hedegaard, et al.. (2014). Novel approaches for quantifying protein biomarkers in gliomas: benefits and pitfalls. CNS Oncology. 3(4). 287–298. 10 indexed citations
9.
Tanvig, Mette, Morten Blaabjerg, Ana Villa, et al.. (2009). A brain slice culture model for studies of endogenous and exogenous precursor cell migration in the rostral migratory stream. Brain Research. 1295. 1–12. 12 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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