Mette Stæhr

1.2k total citations
14 papers, 488 citations indexed

About

Mette Stæhr is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Mette Stæhr has authored 14 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Oncology. Recurrent topics in Mette Stæhr's work include Nitric Oxide and Endothelin Effects (5 papers), CAR-T cell therapy research (4 papers) and Hormonal Regulation and Hypertension (3 papers). Mette Stæhr is often cited by papers focused on Nitric Oxide and Endothelin Effects (5 papers), CAR-T cell therapy research (4 papers) and Hormonal Regulation and Hypertension (3 papers). Mette Stæhr collaborates with scholars based in Denmark, United States and Hong Kong. Mette Stæhr's co-authors include Renier J. Brentjens, Terence J. Purdon, Eric L. Smith, Boye L. Jensen, Yunxin Chen, Carlos Fernández de Larrea, Andrea V. Lopez, Vladimir Ponomarev, Hans-Guido Wendel and Pernille Hansen and has published in prestigious journals such as Blood, British Journal of Pharmacology and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

In The Last Decade

Mette Stæhr

14 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mette Stæhr Denmark 12 301 234 97 96 83 14 488
Satoshi Kawashima Japan 17 65 0.2× 293 1.3× 37 0.4× 19 0.2× 16 0.2× 50 813
Noriyo Hayakawa Japan 11 93 0.3× 353 1.5× 23 0.2× 47 0.5× 7 0.1× 13 513
Haifeng Bao United States 10 201 0.7× 172 0.7× 15 0.2× 83 0.9× 68 0.8× 20 432
Cristina Nuevo‐Tapioles Spain 14 91 0.3× 452 1.9× 29 0.3× 89 0.9× 13 0.2× 23 664
Jeremy Warshauer United States 7 260 0.9× 166 0.7× 58 0.6× 198 2.1× 3 0.0× 7 699
Zhaohua Gao China 11 157 0.5× 222 0.9× 59 0.6× 68 0.7× 2 0.0× 18 516
Junlan Zhou China 13 62 0.2× 234 1.0× 11 0.1× 52 0.5× 13 0.2× 31 411
Yiping Han China 12 134 0.4× 201 0.9× 38 0.4× 19 0.2× 6 0.1× 33 544
John Dixon United Kingdom 8 74 0.2× 180 0.8× 13 0.1× 16 0.2× 54 0.7× 11 508
Matthew Sebas United States 5 48 0.2× 268 1.1× 40 0.4× 227 2.4× 17 0.2× 6 567

Countries citing papers authored by Mette Stæhr

Since Specialization
Citations

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

Fields of papers citing papers by Mette Stæhr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mette Stæhr

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

All Works

14 of 14 papers shown
1.
Traynor, Sofie, Christina Dahl, Mette Stæhr, et al.. (2025). Stochastic demethylation and redundant epigenetic suppressive mechanisms generate highly heterogeneous responses to pharmacological DNA methyltransferase inhibition. Journal of Experimental & Clinical Cancer Research. 44(1). 21–21. 3 indexed citations
2.
Traynor, Sofie, Mette Stæhr, Mikkel G. Terp, et al.. (2021). The Cancer/Testis Antigen Gene VCX2 Is Rarely Expressed in Malignancies but Can Be Epigenetically Activated Using DNA Methyltransferase and Histone Deacetylase Inhibitors. Frontiers in Oncology. 10. 584024–584024. 16 indexed citations
3.
Larrea, Carlos Fernández de, Mette Stæhr, Andrea V. Lopez, et al.. (2020). Defining an Optimal Dual-Targeted CAR T-cell Therapy Approach Simultaneously Targeting BCMA and GPRC5D to Prevent BCMA Escape–Driven Relapse in Multiple Myeloma. PubMed. 1(2). 146–154. 147 indexed citations
4.
Andersen, Henrik, Kristian B. Buhl, Mette Stæhr, et al.. (2020). Plasminogen Deficiency and Amiloride Mitigate Angiotensin II–Induced Hypertension in Type 1 Diabetic Mice Suggesting Effects Through the Epithelial Sodium Channel. Journal of the American Heart Association. 9(23). e016387–e016387. 13 indexed citations
5.
Smith, Eric L., Sham Mailankody, Mette Stæhr, et al.. (2019). BCMA-Targeted CAR T-cell Therapy plus Radiotherapy for the Treatment of Refractory Myeloma Reveals Potential Synergy. Cancer Immunology Research. 7(7). 1047–1053. 67 indexed citations
6.
Larrea, Carlos Fernández de, Mette Stæhr, Andrea V. Lopez, et al.. (2019). Optimal Dual-Targeted CAR Construct Simultaneously Targeting Bcma and GPRC5D Prevents Bcma-Escape Driven Relapse in Multiple Myeloma. Blood. 134(Supplement_1). 136–136. 20 indexed citations
7.
Andersen, Henrik, Ib Abildgaard Jacobsen, Pernille Hansen, et al.. (2018). The acute blood pressure‐lowering effect of amiloride is independent of endothelial ENaC and eNOS in humans and mice. Acta Physiologica. 225(1). e13189–e13189. 11 indexed citations
8.
Smith, Eric L., Mette Stæhr, Reed Masakayan, et al.. (2018). Development and Evaluation of an Optimal Human Single-Chain Variable Fragment-Derived BCMA-Targeted CAR T Cell Vector. Molecular Therapy. 26(6). 1447–1456. 76 indexed citations
9.
Kurt, Birgül Özkesici, Mette Stæhr, Per Svenningsen, et al.. (2017). Albuminuria is associated with an increased prostasin in urine while aldosterone has no direct effect on urine and kidney tissue abundance of prostasin. Pflügers Archiv - European Journal of Physiology. 469(5-6). 655–667. 7 indexed citations
10.
Stæhr, Mette, Kristian B. Buhl, René Frydensbjerg Andersen, et al.. (2015). Aberrant glomerular filtration of urokinase-type plasminogen activator in nephrotic syndrome leads to amiloride-sensitive plasminogen activation in urine. American Journal of Physiology-Renal Physiology. 309(3). F235–F241. 30 indexed citations
11.
Stæhr, Mette, et al.. (2013). The calcineurin inhibitor cyclosporine A improves lipopolysaccharide-induced vascular dysfunction but does not rescue from cardiovascular collapse in endotoxemic mice. Pflügers Archiv - European Journal of Physiology. 465(10). 1467–1475. 11 indexed citations
12.
Stæhr, Mette, Pernille Hansen, Kirsten Madsen, et al.. (2013). Deletion of cyclooxygenase-2 in the mouse increases arterial blood pressure with no impairment in renal NO production in response to chronic high salt intake. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 304(10). R899–R907. 12 indexed citations
13.
Damkjær, Mads, Mette Stæhr, Jan Bert Gramsbergen, et al.. (2011). Pharmacological activation of KCa3.1/KCa2.3 channels produces endothelial hyperpolarization and lowers blood pressure in conscious dogs. British Journal of Pharmacology. 165(1). 223–234. 62 indexed citations
14.
Stæhr, Mette, Kirsten Madsen, Paul M. Vanhoutte, Pernille Hansen, & Boye L. Jensen. (2011). Disruption of COX-2 and eNOS does not confer protection from cardiovascular failure in lipopolysaccharide-treated conscious mice and isolated vascular rings. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 301(2). R412–R420. 13 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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