Aleksandra Grzesiak

847 total citations
8 papers, 307 citations indexed

About

Aleksandra Grzesiak is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Aleksandra Grzesiak has authored 8 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 3 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Aleksandra Grzesiak's work include Cardiac Fibrosis and Remodeling (2 papers), Nuclear Receptors and Signaling (2 papers) and Renin-Angiotensin System Studies (2 papers). Aleksandra Grzesiak is often cited by papers focused on Cardiac Fibrosis and Remodeling (2 papers), Nuclear Receptors and Signaling (2 papers) and Renin-Angiotensin System Studies (2 papers). Aleksandra Grzesiak collaborates with scholars based in Germany, Netherlands and Switzerland. Aleksandra Grzesiak's co-authors include Thomas Unger, Elena Kaschina, Kai Kappert, U. Muscha Steckelings, Manuela Sommerfeld, Svetlana Slavić, Pawel Namsolleck, Heiko Funke‐Kaiser, Franziska Rompe and Michael Bäder and has published in prestigious journals such as Stem Cells, Journal of Molecular and Cellular Cardiology and Journal of Hypertension.

In The Last Decade

Aleksandra Grzesiak

8 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aleksandra Grzesiak Germany 6 163 104 93 67 58 8 307
Manuela Sommerfeld Germany 10 161 1.0× 132 1.3× 127 1.4× 80 1.2× 111 1.9× 22 431
Jianfeng Peng United States 7 195 1.2× 124 1.2× 78 0.8× 24 0.4× 29 0.5× 9 339
Toyohisa Jinno Japan 9 219 1.3× 113 1.1× 95 1.0× 23 0.3× 42 0.7× 12 403
Franziska Rompe Germany 6 247 1.5× 161 1.5× 141 1.5× 47 0.7× 28 0.5× 6 400
Ulises Novoa Chile 11 249 1.5× 178 1.7× 139 1.5× 60 0.9× 21 0.4× 21 460
Jürgen Klar Germany 10 178 1.1× 241 2.3× 167 1.8× 49 0.7× 51 0.9× 11 441
Elizabeth K. Fletcher United States 11 98 0.6× 121 1.2× 200 2.2× 56 0.8× 34 0.6× 15 452
K Takeuchi Japan 7 237 1.5× 227 2.2× 150 1.6× 59 0.9× 52 0.9× 21 434
Amaia Zudaire Spain 8 187 1.1× 137 1.3× 149 1.6× 23 0.3× 18 0.3× 10 406
Qiangyou Wan China 9 81 0.5× 141 1.4× 41 0.4× 38 0.6× 43 0.7× 13 321

Countries citing papers authored by Aleksandra Grzesiak

Since Specialization
Citations

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

Fields of papers citing papers by Aleksandra Grzesiak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandra Grzesiak

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

All Works

8 of 8 papers shown
1.
Kappert, Kai, Anna Foryst‐Ludwig, Markus Clemenz, et al.. (2017). AT1-receptor blockade attenuates outward aortic remodeling associated with diet-induced obesity in mice. Clinical Science. 131(15). 1989–2005. 25 indexed citations
2.
Slavić, Svetlana, Manuela Sommerfeld, Aleksandra Grzesiak, et al.. (2013). Cannabinoid receptor 1 inhibition improves cardiac function and remodelling after myocardial infarction and in experimental metabolic syndrome. Journal of Molecular Medicine. 91(7). 811–823. 70 indexed citations
3.
Springer, Jochen, Anika Tschirner, Aleksandra Grzesiak, et al.. (2010). Cancer Cachexia Therapy: A Matter of Helping the Heart?. Journal of Cardiac Failure. 16(8). S12–S12. 2 indexed citations
4.
Curato, Caterina, Elena Kaschina, Aleksandra Grzesiak, et al.. (2009). Cardiac c-kit+AT2+ Cell Population is Increased in Response to Ischemic Injury and Supports Cardiomyocyte Performance. Stem Cells. 27(10). 2488–2497. 59 indexed citations
5.
Kaschina, Elena, Caterina Curato, M. Timm, et al.. (2009). Estrogen receptor α supports cardiomyocytes indirectly through post-infarct cardiac c-kit+ cells. Journal of Molecular and Cellular Cardiology. 47(1). 66–75. 20 indexed citations
6.
Springer, Jochen, et al.. (2009). Development of Severe Progressive Heart Failure in Experimental Cancer Cachexia. Journal of Cardiac Failure. 15(6). S25–S25. 2 indexed citations
7.
Steckelings, U. Muscha, Franziska Rompe, Elena Kaschina, et al.. (2009). The past, present and future of angiotensin II type 2 receptor stimulation. Journal of the Renin-Angiotensin-Aldosterone System. 11(1). 67–73. 77 indexed citations
8.
Kaschina, Elena, et al.. (2008). Telmisartan prevents aneurysm progression in the rat by inhibiting proteolysis, apoptosis and inflammation. Journal of Hypertension. 26(12). 2361–2373. 52 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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