Dana Müllerová

1.1k total citations
37 papers, 755 citations indexed

About

Dana Müllerová is a scholar working on Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Dana Müllerová has authored 37 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Health, Toxicology and Mutagenesis, 11 papers in Public Health, Environmental and Occupational Health and 9 papers in Physiology. Recurrent topics in Dana Müllerová's work include Effects and risks of endocrine disrupting chemicals (10 papers), Adipose Tissue and Metabolism (7 papers) and Obesity, Physical Activity, Diet (7 papers). Dana Müllerová is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (10 papers), Adipose Tissue and Metabolism (7 papers) and Obesity, Physical Activity, Diet (7 papers). Dana Müllerová collaborates with scholars based in Czechia, Netherlands and United Kingdom. Dana Müllerová's co-authors include Ján Kopecký, Jana Dvořáková, Miroslava Čedíková, Jitka Kuncová, Michaela Kripnerová, Václav Babuška, Pavel Pitule, Nathalie J. Farpour‐Lambert, Gema Frühbeck and Euan Woodward and has published in prestigious journals such as International Journal of Obesity, British Journal Of Nutrition and Biomolecules.

In The Last Decade

Dana Müllerová

34 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dana Müllerová Czechia 13 276 196 152 108 104 37 755
Mónika Fekete Hungary 17 207 0.8× 61 0.3× 72 0.5× 150 1.4× 120 1.2× 81 892
Thivanka Muthumalage United States 20 699 2.5× 360 1.8× 96 0.6× 100 0.9× 240 2.3× 35 1.3k
Giuseppe Lisco Italy 18 149 0.5× 57 0.3× 102 0.7× 70 0.6× 189 1.8× 74 1.0k
Ciro Salzano Italy 15 378 1.4× 175 0.9× 67 0.4× 246 2.3× 151 1.5× 20 1.1k
Dylan Thomas United States 12 321 1.2× 58 0.3× 189 1.2× 87 0.8× 130 1.3× 13 831
Ruchi Bhandari United States 11 61 0.2× 154 0.8× 109 0.7× 87 0.8× 89 0.9× 50 634
Ninghao Huang China 13 132 0.5× 161 0.8× 62 0.4× 122 1.1× 61 0.6× 47 668
Lorenzo Romano Italy 19 323 1.2× 39 0.2× 83 0.5× 148 1.4× 172 1.7× 37 967
Alexander Moshensky United States 14 438 1.6× 174 0.9× 59 0.4× 99 0.9× 182 1.8× 20 812
Vince Fazekas‐Pongor Hungary 17 168 0.6× 64 0.3× 40 0.3× 132 1.2× 81 0.8× 49 708

Countries citing papers authored by Dana Müllerová

Since Specialization
Citations

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

Fields of papers citing papers by Dana Müllerová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Müllerová

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

All Works

20 of 20 papers shown
1.
2.
Müller, Luděk, et al.. (2024). Dietary intake of plant polyphenols: Exploring trend in the Czech population. Central European Journal of Public Health. 32(2). 101–107. 1 indexed citations
3.
Müller, Luděk, et al.. (2022). Obesogens in Foods. Biomolecules. 12(5). 680–680. 15 indexed citations
4.
Müllerová, Dana, et al.. (2021). Public Health and Preventive Medicine. 1 indexed citations
5.
Müllerová, Dana, Martin Fried, Martin Haluzı́k, et al.. (2020). Joint opinion of professional societies on pharmacological treatment of obesity. 74(6). 499–512.
6.
Dicker, Dror, Silvia Bettini, Nathalie J. Farpour‐Lambert, et al.. (2020). Obesity and COVID-19: The Two Sides of the Coin. Obesity Facts. 13(4). 430–438. 44 indexed citations
7.
Goossens, Gijs H., Dror Dicker, Nathalie J. Farpour‐Lambert, et al.. (2020). Obesity and COVID-19: A Perspective from the European Association for the Study of Obesity on Immunological Perturbations, Therapeutic Challenges, and Opportunities in Obesity. Obesity Facts. 13(4). 439–452. 39 indexed citations
8.
Dvořáková, Jana, et al.. (2018). Effect of n-3 fatty acids supplementation during life style modification in women with overweight. Central European Journal of Public Health. 26(4). 265–271. 11 indexed citations
9.
Pešta, Martin, Miroslava Čedíková, Pavel Dvořák, et al.. (2018). Trends in gene expression changes during adipogenesis in human adipose derived mesenchymal stem cells under dichlorodiphenyldichloroethylene exposure. Molecular & Cellular Toxicology. 14(4). 369–379. 9 indexed citations
10.
Hebebrand, Johannes, Jens‐Christian Holm, Euan Woodward, et al.. (2017). A Proposal of the European Association for the Study of Obesity to Improve the ICD-11 Diagnostic Criteria for Obesity Based on the Three Dimensions Etiology, Degree of Adiposity and Health Risk. Obesity Facts. 10(4). 284–307. 65 indexed citations
11.
Mráz, Miloš, et al.. (2017). [Potential sources of phthalates and bisphenol A and their significance in the development of metabolic diseases].. PubMed. 155(3). 11–5. 2 indexed citations
12.
Müllerová, Dana, Martin Pešta, Miroslava Čedíková, et al.. (2016). DDE downregulates PLIN2 expression during differentiation of mesenchymal stem cells into adipocytes in lipid-enriched medium. Journal of Applied Biomedicine. 14(2). 113–117. 3 indexed citations
13.
Svačina, Š, Marek Malý, Z Lacinová, et al.. (2016). Urine Levels of Phthalate Metabolites and Bisphenol A in Relation to Main Metabolic Syndrome Components: Dyslipidemia, Hypertension and Type 2 Diabetes. A pilot study. Central European Journal of Public Health. 24(4). 297–301. 28 indexed citations
14.
Müllerová, Dana, et al.. (2015). Dramatic decrease in muscular fitness in Czech schoolchildren over the Last 20 years. Central European Journal of Public Health. 23(Supplement). S9–S13. 24 indexed citations
15.
Pomerleau, Joceline, et al.. (2014). Heavy Metals in Hair Samples: a Pilot Study of Anaemic Children in Kazakhstan, Kyrgyzstan and Uzbekistan. Central European Journal of Public Health. 22(4). 273–276. 13 indexed citations
16.
Müllerová, Dana, Ján Kopecký, Luděk Müller, et al.. (2008). Negative association between plasma levels of adiponectin and polychlorinated biphenyl 153 in obese women under non-energy-restrictive regime. International Journal of Obesity. 32(12). 1875–1878. 29 indexed citations
17.
Mortensen, Alicja, Ilona Kryspin Sørensen, Colin J. Wilde, et al.. (2008). Biological models for phytochemical research: from cell to human organism. British Journal Of Nutrition. 99(E-S1). ES118–ES126. 16 indexed citations
18.
Müllerová, Dana & Ján Kopecký. (2007). White adipose tissue: storage and effector site for environmental pollutants.. Physiological Research. 56(4). 375–382. 121 indexed citations
19.
Müllerová, Dana, et al.. (2004). Breastfeeding promotion and protection in the Czech Republic.. PubMed. 12(2). 110–2. 2 indexed citations
20.
Müllerová, Dana. (2003). Zdravá výživa a prevence civilizačních nemocí ve schématech. 2 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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