Frauke Günther

897 total citations · 1 hit paper
7 papers, 636 citations indexed

About

Frauke Günther is a scholar working on Molecular Biology, Otorhinolaryngology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Frauke Günther has authored 7 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Otorhinolaryngology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Frauke Günther's work include Head and Neck Cancer Studies (2 papers), Bioinformatics and Genomic Networks (2 papers) and Gene expression and cancer classification (2 papers). Frauke Günther is often cited by papers focused on Head and Neck Cancer Studies (2 papers), Bioinformatics and Genomic Networks (2 papers) and Gene expression and cancer classification (2 papers). Frauke Günther collaborates with scholars based in Germany. Frauke Günther's co-authors include Stefan Gerd Fritsch, Karin Bammann, Nina Wawro, Ingeborg Jahn, Ronja Foraita, Wolfgang Ahrens, Tilman Brand, Claudia Börnhorst, Juliane Friemel and Jörn Bullerdiek and has published in prestigious journals such as BMC Public Health, Cancer Epidemiology Biomarkers & Prevention and BMC Genetics.

In The Last Decade

Frauke Günther

7 papers receiving 608 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

neuralnet: Training of Neural Networks

2010 551 citations Frauke Günther, Stefan Gerd Fritsch The R Journal profile →

Peers

Frauke Günther

EE

AI

MB

GPC

MSOR

Stefan Gerd Fritsch Germany

Stefano Nembrini Italy

Natalie Neumeyer Germany

Alfonso Iodice D’Enza Italy

Martin Binder Germany

Allan McQuarrie United States

Stefan Coors Germany

Rui Wu United States

Waldemar Ratajczak Poland

Elena Tuzhilina United States

Stefan Gerd Fritsch Germany

Frauke Günther

99 ×1.0

EE

81 ×1.0

AI

43 ×0.6

MB

57 ×1.0

GPC

49 ×1.0

MSOR

Citations per year, relative to Frauke Günther Frauke Günther (= 1×) peers Stefan Gerd Fritsch

Countries citing papers authored by Frauke Günther

Since Specialization

Citations

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

Fields of papers citing papers by Frauke Günther

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frauke Günther

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

All Works

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7 of 7 papers shown

1.

Jahn, Ingeborg, Claudia Börnhorst, Frauke Günther, & Tilman Brand. (2017). Examples of sex/gender sensitivity in epidemiological research: results of an evaluation of original articles published in JECH 2006–2014. Health Research Policy and Systems. 15(1). 11–11. 18 indexed citations

2.

Günther, Kathrin, Ronja Foraita, Juliane Friemel, et al.. (2016). The Stem Cell Factor HMGA2 Is Expressed in Non-HPV–Associated Head and Neck Squamous Cell Carcinoma and Predicts Patient Survival of Distinct Subsites. Cancer Epidemiology Biomarkers & Prevention. 26(2). 197–205. 19 indexed citations

3.

Friemel, Juliane, Ronja Foraita, Kathrin Günther, et al.. (2016). Pretreatment oral hygiene habits and survival of head and neck squamous cell carcinoma (HNSCC) patients. BMC Oral Health. 16(1). 33–33. 19 indexed citations

4.

Foraita, Ronja, Mirko Brandes, Frauke Günther, et al.. (2015). The influence of aerobic fitness on obesity and its parent-offspring correlations in a cross-sectional study among German families. BMC Public Health. 15(1). 638–638. 5 indexed citations

5.

Günther, Frauke, Iris Pigeot, & Karin Bammann. (2012). Artificial neural networks modeling gene-environment interaction. BMC Genetics. 13(1). 37–37. 4 indexed citations

6.

Günther, Frauke & Stefan Gerd Fritsch. (2010). neuralnet: Training of Neural Networks. The R Journal. 2(1). 30–30. 551 indexed citations breakdown →

7.

Günther, Frauke, Nina Wawro, & Karin Bammann. (2009). Neural networks for modeling gene-gene interactions in association studies. BMC Genetics. 10(1). 87–87. 20 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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