Denisa Máderová

8 total papers · 623 total citations
7 papers, 521 citations indexed

About

Denisa Máderová is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Denisa Máderová has authored 7 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 2 papers in Molecular Biology and 2 papers in Neurology. Recurrent topics in Denisa Máderová's work include Adipose Tissue and Metabolism (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Muscle metabolism and nutrition (2 papers). Denisa Máderová is often cited by papers focused on Adipose Tissue and Metabolism (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Muscle metabolism and nutrition (2 papers). Denisa Máderová collaborates with scholars based in Slovakia, Austria and Switzerland. Denisa Máderová's co-authors include Jozef Ukropec, Barbara Ukropcová, Tímea Kurdiová, Christian Wolfrum, V. Belan, Miroslav Baláž, Martin Krššák, Ladislav Valkovič, Erika Zemková and Miroslav Vlček and has published in prestigious journals such as The Journal of Physiology, Scientific Reports and Peptides.

In The Last Decade

Denisa Máderová

7 papers receiving 511 citations

Author Peers

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

Author Last Decade Papers Cites
Denisa Máderová 418 138 134 125 92 7 521
Kaitlyn K. Gerber 395 0.9× 120 0.9× 169 1.3× 108 0.9× 55 0.6× 4 477
Lisa Schering 471 1.1× 130 0.9× 213 1.6× 153 1.2× 90 1.0× 12 591
Byunghun So 358 0.9× 110 0.8× 148 1.1× 153 1.2× 83 0.9× 15 520
Gabriela Moreira 224 0.5× 112 0.8× 291 2.2× 53 0.4× 61 0.7× 12 543
M Vician 373 0.9× 134 1.0× 107 0.8× 101 0.8× 82 0.9× 6 466
Sabrina da Silva 246 0.6× 61 0.4× 107 0.8× 41 0.3× 50 0.5× 13 497
Liam D. Tryon 350 0.8× 154 1.1× 342 2.6× 105 0.8× 113 1.2× 10 570
Svenia Schnyder 301 0.7× 66 0.5× 213 1.6× 97 0.8× 74 0.8× 8 474
Daniel R. Jakaitis 265 0.6× 66 0.5× 195 1.5× 31 0.2× 79 0.9× 11 458
G. J. Cooney 344 0.8× 117 0.8× 241 1.8× 30 0.2× 84 0.9× 10 586

Countries citing papers authored by Denisa Máderová

Since Specialization
Citations

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

Fields of papers citing papers by Denisa Máderová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denisa Máderová

This figure shows the co-authorship network connecting the top 25 collaborators of Denisa Máderová. A scholar is included among the top collaborators of Denisa Máderová 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 Denisa Máderová. Denisa Máderová 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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