Eva Aumueller

806 total citations
10 papers, 623 citations indexed

About

Eva Aumueller is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Eva Aumueller has authored 10 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Epidemiology. Recurrent topics in Eva Aumueller's work include Epigenetics and DNA Methylation (4 papers), Gut microbiota and health (4 papers) and Diet and metabolism studies (4 papers). Eva Aumueller is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Gut microbiota and health (4 papers) and Diet and metabolism studies (4 papers). Eva Aumueller collaborates with scholars based in Austria, Spain and Mexico. Eva Aumueller's co-authors include Alexander G. Haslberger, Marlene Remely, Berit Hippe, Helmut Brath, Angelika Pointner, Daniel Jahn, Ibrahim Elmadfa, Ana Laura de la Garza, Fermı́n I. Milagro and J. Alfredo Martínéz and has published in prestigious journals such as Gene, Food & Function and Journal of Medicinal Food.

In The Last Decade

Eva Aumueller

10 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Aumueller Austria 9 458 289 79 76 68 10 623
Angelika Pointner Austria 9 406 0.9× 226 0.8× 97 1.2× 51 0.7× 56 0.8× 14 627
Per-Olof Bergh Sweden 2 504 1.1× 289 1.0× 70 0.9× 63 0.8× 93 1.4× 2 625
Xinmin Qiu China 6 617 1.3× 357 1.2× 127 1.6× 99 1.3× 63 0.9× 11 786
Naisi Zhao United States 13 517 1.1× 239 0.8× 87 1.1× 38 0.5× 65 1.0× 33 794
Jose Antonio Santos-Marcos Spain 6 403 0.9× 257 0.9× 47 0.6× 54 0.7× 63 0.9× 7 595
April Fiedler Australia 4 580 1.3× 455 1.6× 72 0.9× 73 1.0× 48 0.7× 8 832
Louise Crovesy Brazil 7 547 1.2× 384 1.3× 58 0.7× 54 0.7× 90 1.3× 11 798
Willian R. Ribeiro Brazil 8 426 0.9× 247 0.9× 80 1.0× 30 0.4× 70 1.0× 15 646
Hideo Ohira Japan 7 426 0.9× 252 0.9× 47 0.6× 41 0.5× 86 1.3× 11 635
Ria Singh United States 2 395 0.9× 234 0.8× 95 1.2× 41 0.5× 35 0.5× 3 575

Countries citing papers authored by Eva Aumueller

Since Specialization
Citations

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

Fields of papers citing papers by Eva Aumueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Aumueller

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

All Works

10 of 10 papers shown
1.
Remely, Marlene, et al.. (2016). Gut Microbiota of Obese, Type 2 Diabetic Individuals is Enriched in Faecalibacterium prausnitzii, Akkermansia muciniphila and Peptostreptococcus anaerobius after Weight Loss. Endocrine Metabolic & Immune Disorders - Drug Targets. 16(2). 99–106. 117 indexed citations
2.
Hippe, Berit, et al.. (2016). Faecalibacterium prausnitzii phylotypes in type two diabetic, obese, and lean control subjects. Beneficial Microbes. 7(4). 511–518. 65 indexed citations
3.
Remely, Marlene, et al.. (2015). Obesity: epigenetic regulation – recent observations. BioMolecular Concepts. 6(3). 163–175. 16 indexed citations
4.
Garza, Ana Laura de la, Usune Etxeberría, Alexander G. Haslberger, et al.. (2015). Helichrysum and Grapefruit Extracts Boost Weight Loss in Overweight Rats Reducing Inflammation. Journal of Medicinal Food. 18(8). 890–898. 21 indexed citations
6.
Garza, Ana Laura de la, Usune Etxeberría, Alexander G. Haslberger, et al.. (2014). Modulation of hyperglycemia and TNFα-mediated inflammation by helichrysum and grapefruit extracts in diabetic db/db mice. Food & Function. 5(9). 2120–2128. 26 indexed citations
7.
Remely, Marlene, Eva Aumueller, Daniel Jahn, et al.. (2014). Microbiota and epigenetic regulation of inflammatory mediators in type 2 diabetes and obesity. Beneficial Microbes. 5(1). 33–43. 98 indexed citations
8.
Remely, Marlene, Eva Aumueller, Berit Hippe, et al.. (2013). Effects of short chain fatty acid producing bacteria on epigenetic regulation of FFAR3 in type 2 diabetes and obesity. Gene. 537(1). 85–92. 220 indexed citations
9.
Aumueller, Eva, et al.. (2012). Regulation of TLR4, p38 MAPkinase, IκB and miRNAs by inactivated strains of lactobacilli in human dendritic cells. Beneficial Microbes. 3(2). 91–98. 47 indexed citations
10.
Aumueller, Eva, et al.. (2012). Genetic and epigenetic interactions in adaptive thermogenesis pathways in association with obesity from a Public Health Genomics perspective. Italian Journal of Public Health. 9(4). 3 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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