Frauke Günther

897 citations
7 papers · 636 indexed · 1 hit paper · h-index 6
Topics
Head and Neck Cancer Studies (2 papers)Bioinformatics and Genomic Networks (2 papers)Gene expression and cancer classification (2 papers)
Partner nations
Germany

In The Last Decade

Frauke Günther

7 papers receiving 608 citations

Hit Papers

neuralnet: Training of Neural Networks20102026201520202010100200300400500

Peers

Frauke Günther
Comparison fields: 5 of 168
  • Environmental Engineering 98
  • Artificial Intelligence 81
  • Molecular Biology 77
  • Global and Planetary Change 55
  • Management Science and Operations Research 48
Replace Alfonso Iodice D’Enza with:
Alfonso Iodice D’Enza Italy
Aleksander Jankowski Poland
Wai Khuen Cheng Malaysia
Khean Thye Bea Malaysia
Jireh Yi-Le Chan Malaysia
Philipp Probst Germany
Barry de Ville United States
Md Abdus Samad South Korea
Daniel A. Abaye Ghana
Jakob Richter Germany
Frauke Günther relative to Alfonso Iodice D’Enza Italy Alfonso Iodice D’Enza's profile →
Citations per field
00.5×3.2×
Alfonso Iodice D’Enza · 1×
Citations per year

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

7 of 7 papers shown
#WorkIndexed citations
1 18
2 19
3 19
4 5
5 4
6
neuralnet: Training of Neural Networksbreakdown →
551
7 20

About Frauke Günther

Frauke Günther is a scholar working on Otorhinolaryngology, Periodontics and Gender Studies, having authored 7 papers that have together received 636 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (2 papers), Bioinformatics and Genomic Networks (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Environmental Engineering (98 citations), Management Science and Operations Research (48 citations) and Otorhinolaryngology (16 citations). Frauke Günther has collaborated with scholars based in Germany. Frequent 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. Their work appears in journals such as BMC Public Health, Cancer Epidemiology Biomarkers & Prevention and BMC Genetics.

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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