Aleksandra Grzesiak

14 total papers · 834 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 Nuclear Receptors and Signaling (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and Renin-Angiotensin System Studies (2 papers). Aleksandra Grzesiak is often cited by papers focused on Nuclear Receptors and Signaling (2 papers), Cardiac Fibrosis and Remodeling (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 Elena Kaschina, Thomas Unger, U. Muscha Steckelings, Kai Kappert, Manuela Sommerfeld, Svetlana Slavić, Michael Bäder, Heiko Funke‐Kaiser, Pawel Namsolleck and Franziska Rompe 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 302 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aleksandra Grzesiak 163 104 93 67 58 8 307
Jianfeng Peng 193 1.2× 119 1.1× 78 0.8× 24 0.4× 29 0.5× 9 333
Bruno Sevá Pessôa 144 0.9× 100 1.0× 105 1.1× 24 0.4× 31 0.5× 8 322
Catherine Chollet 76 0.5× 119 1.1× 63 0.7× 51 0.8× 69 1.2× 14 357
Bibi S. van Thiel 124 0.8× 113 1.1× 60 0.6× 22 0.3× 55 0.9× 10 292
Qiangyou Wan 81 0.5× 140 1.3× 41 0.4× 37 0.6× 42 0.7× 13 314
Hui-Feng Cheng 125 0.8× 172 1.7× 115 1.2× 17 0.3× 30 0.5× 8 364
Dzau Vj 175 1.1× 118 1.1× 74 0.8× 19 0.3× 32 0.6× 15 312
Mobin Dib 91 0.6× 101 1.0× 130 1.4× 42 0.6× 34 0.6× 8 342
Hitoshi Shimoike 253 1.6× 73 0.7× 139 1.5× 54 0.8× 39 0.7× 11 352
Keiichi Sugimura 244 1.5× 122 1.2× 170 1.8× 53 0.8× 41 0.7× 16 365

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

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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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2026