Michaela Kováčiková

23 total papers · 1.0k total citations
18 papers, 816 citations indexed

About

Michaela Kováčiková is a scholar working on Epidemiology, Physiology and Molecular Biology. According to data from OpenAlex, Michaela Kováčiková has authored 18 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 13 papers in Physiology and 4 papers in Molecular Biology. Recurrent topics in Michaela Kováčiková's work include Adipokines, Inflammation, and Metabolic Diseases (13 papers), Adipose Tissue and Metabolism (13 papers) and Regulation of Appetite and Obesity (4 papers). Michaela Kováčiková is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (13 papers), Adipose Tissue and Metabolism (13 papers) and Regulation of Appetite and Obesity (4 papers). Michaela Kováčiková collaborates with scholars based in Czechia, France and Slovakia. Michaela Kováčiková's co-authors include Vladimír Štich, Eva Klimčáková, Zuzana Kováčová, Dominique Langin, J. Polák, Michaela Vı́tková, Nathalie Viguerie, J. Hejnova, Anne Bouloumié and Michaela Šiklová and has published in prestigious journals such as Endocrine Reviews, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Michaela Kováčiková

18 papers receiving 792 citations

Author Peers

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

Author Last Decade Papers Cites
Michaela Kováčiková 442 419 205 180 141 18 816
Zuzana Kováčová 523 1.2× 495 1.2× 204 1.0× 251 1.4× 144 1.0× 25 957
Shigeru Akagi 294 0.7× 397 0.9× 159 0.8× 127 0.7× 87 0.6× 23 931
Daniela Friebe 365 0.8× 320 0.8× 255 1.2× 137 0.8× 43 0.3× 20 888
Annika Taube 442 1.0× 365 0.9× 224 1.1× 153 0.8× 182 1.3× 10 946
Kerstin Wåhlén 431 1.0× 404 1.0× 229 1.1× 155 0.9× 66 0.5× 14 934
A. Cramer 293 0.7× 333 0.8× 169 0.8× 95 0.5× 159 1.1× 13 728
Christine Chabrolle 275 0.6× 410 1.0× 228 1.1× 78 0.4× 82 0.6× 21 1.1k
J. Hejnova 662 1.5× 371 0.9× 197 1.0× 210 1.2× 31 0.2× 24 980
Núbia S. Lobato 278 0.6× 209 0.5× 234 1.1× 321 1.8× 89 0.6× 24 872
P Sucharda 337 0.8× 426 1.0× 145 0.7× 149 0.8× 91 0.6× 19 865

Countries citing papers authored by Michaela Kováčiková

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Kováčiková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Kováčiková

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