Dana Müllerová

64 total papers · 1.1k total citations
36 papers, 746 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 36 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Health, Toxicology and Mutagenesis, 10 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 (6 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 (6 papers). Dana Müllerová collaborates with scholars based in Czechia, United Kingdom and Netherlands. Dana Müllerová's co-authors include Ján Kopecký, Jana Dvořáková, Miroslava Čedíková, Jitka Kuncová, Michaela Kripnerová, Václav Babuška, Pavel Pitule, Gema Frühbeck, Nathalie J. Farpour‐Lambert 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 724 citations

Author Peers

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

Author						Papers	Cites
Dana Müllerová	273	195	150	106	104	36	746
Seong‐Su Moon	273 1.0×	160 0.8×	164 1.1×	82 0.8×	98 0.9×	28	825
Robin Shoemaker	162 0.6×	117 0.6×	105 0.7×	54 0.5×	146 1.4×	25	811
Xiaofang Chen	149 0.5×	71 0.4×	178 1.2×	163 1.5×	152 1.5×	51	762
Mónika Fekete	200 0.7×	59 0.3×	71 0.5×	149 1.4×	110 1.1×	79	848
Diahn-Warng Perng	266 1.0×	107 0.5×	87 0.6×	34 0.3×	107 1.0×	33	901
Meda Kondolot	120 0.4×	112 0.6×	125 0.8×	200 1.9×	55 0.5×	41	730
Jing Cheng	154 0.6×	116 0.6×	177 1.2×	72 0.7×	214 2.1×	48	894
Alireza Moslem	79 0.3×	116 0.6×	81 0.5×	138 1.3×	99 1.0×	52	753
Murat Kızılgün	78 0.3×	141 0.7×	72 0.5×	89 0.8×	93 0.9×	44	708
H. Russell Foushee	132 0.5×	186 1.0×	133 0.9×	135 1.3×	43 0.4×	20	656

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

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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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