Meike Sobirey

502 total citations
7 papers, 428 citations indexed

About

Meike Sobirey is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Meike Sobirey has authored 7 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Genetics. Recurrent topics in Meike Sobirey's work include Protein Kinase Regulation and GTPase Signaling (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Meike Sobirey is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Meike Sobirey collaborates with scholars based in Germany, United States and Romania. Meike Sobirey's co-authors include Dirk Westermann, Carsten Tschöpe, Alexander Riad, Heinz‐Peter Schultheiß, Matthias Pauschinger, Felicitas Escher, Heinz‐Peter Schultheiss, Anne Linderer, Sophie Van Linthout and A. Riad and has published in prestigious journals such as The Journal of Immunology, Diabetes and Diabetologia.

In The Last Decade

Meike Sobirey

7 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meike Sobirey Germany 6 198 156 91 72 53 7 428
Analia Garcia United States 10 224 1.1× 171 1.1× 80 0.9× 51 0.7× 49 0.9× 13 532
Anne-Marie Marés France 12 115 0.6× 102 0.7× 65 0.7× 70 1.0× 63 1.2× 15 460
Lai‐Ming Yung United States 12 158 0.8× 189 1.2× 34 0.4× 94 1.3× 63 1.2× 15 644
Simbarashe Magwenzi United Kingdom 6 135 0.7× 143 0.9× 105 1.2× 80 1.1× 26 0.5× 6 414
Chun Xi Liu China 13 381 1.9× 179 1.1× 110 1.2× 122 1.7× 37 0.7× 15 654
Svitlana D. Brovkovych United States 8 165 0.8× 146 0.9× 91 1.0× 34 0.5× 65 1.2× 9 440
Katie S. Wraith United Kingdom 8 135 0.7× 138 0.9× 113 1.2× 86 1.2× 25 0.5× 10 432
Shoji Kume Japan 14 92 0.5× 185 1.2× 70 0.8× 82 1.1× 35 0.7× 25 571
Zaher Raslan United Kingdom 12 135 0.7× 135 0.9× 107 1.2× 81 1.1× 27 0.5× 13 442
Wen Cheng China 13 134 0.7× 268 1.7× 99 1.1× 71 1.0× 91 1.7× 30 669

Countries citing papers authored by Meike Sobirey

Since Specialization
Citations

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

Fields of papers citing papers by Meike Sobirey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meike Sobirey

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

All Works

7 of 7 papers shown
1.
Westermann, Dirk, Thomas Walther, Konstantinos Savvatis, et al.. (2009). Gene Deletion of the Kinin Receptor B1 Attenuates Cardiac Inflammation and Fibrosis During the Development of Experimental Diabetic Cardiomyopathy. Diabetes. 58(6). 1373–1381. 90 indexed citations
2.
Riad, Alexander, Sebastian Jäger, Meike Sobirey, et al.. (2008). Toll-Like Receptor-4 Modulates Survival by Induction of Left Ventricular Remodeling after Myocardial Infarction in Mice. The Journal of Immunology. 180(10). 6954–6961. 102 indexed citations
3.
Westermann, Dirk, Olga Lettau, Meike Sobirey, et al.. (2008). Doxorubicin cardiomyopathy-induced inflammation and apoptosis are attenuated by gene deletion of the kinin B1 receptor. Biological Chemistry. 389(6). 713–718. 23 indexed citations
4.
Riad, Alexander, Jing Du, Dirk Westermann, et al.. (2007). Low-dose treatment with atorvastatin leads to anti-oxidative and anti-inflammatory effects in diabetes mellitus. European Journal of Pharmacology. 569(3). 204–211. 47 indexed citations
5.
Westermann, Dirk, Susanne Rutschow, Sophie Van Linthout, et al.. (2006). Inhibition of p38 mitogen-activated protein kinase attenuates left ventricular dysfunction by mediating pro-inflammatory cardiac cytokine levels in a mouse model of diabetes mellitus. Diabetologia. 49(10). 2507–2513. 137 indexed citations
6.
Riad, Alexander, Daniel Unger, Jing Du, et al.. (2006). Chronic inhibition of p38MAPK improves cardiac and endothelial function in experimental diabetes mellitus. European Journal of Pharmacology. 554(1). 40–45. 26 indexed citations
7.
Brandt, Kirsten, Ibrahim Elmadfa, Meike Sobirey, & E. Schlotzer. (1989). [Effect of various combinations of DL-alpha-tocopherol and acetylsalicylic acid on adjuvant arthritis in the rat].. PubMed. 47(6). 381–7. 3 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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