Katrin Gunka

2.2k citations
29 papers · 1.2k · h-index 18

Impact in

Papers in

    • RNA and protein synthesis mechanisms 5
    • Genomics and Phylogenetic Studies 3
    • Bacterial Genetics and Biotechnology 17
    • Evolution and Genetic Dynamics 3

Katrin Gunka

29 papers receiving 1.2k citations

Peers

Katrin Gunka
Comparison fields: 5 of 104
  • Genetics 486
  • Molecular Medicine 56
  • Molecular Biology 770
  • Biochemistry 81
  • Infectious Diseases 192
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Jan Martinussen Denmark
Knut Büttner Germany
I. Kullik Switzerland
Christine Eymann Germany
Patrick Duwat France
Claire Shearman United Kingdom
Zoltán Prágai United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Katrin Gunka

Since Specialization
Citations

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

Fields of papers citing papers by Katrin Gunka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Katrin Gunka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Katrin Gunka Line = papers co-authored together Katrin Gunka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018169
2 2012164
3 2012137
4 2017128
5 200884
6 201169
7 201561
8 201441
9 201038
10 201634
11 201633
12 201133
13 201533
14 201827
15 201326
16 202221
17 201520
18 201117
19 201716
20 201316

About Katrin Gunka

Katrin Gunka is a scholar working on Molecular Biology, Genetics, Ecology, Materials Chemistry and Infectious Diseases, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (17 papers), Bacteriophages and microbial interactions (9 papers), Enzyme Structure and Function (8 papers), Clostridium difficile and Clostridium perfringens research (7 papers), RNA and protein synthesis mechanisms (5 papers), Microscopic Colitis (5 papers), Evolution and Genetic Dynamics (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Genetics (486 citations), Molecular Medicine (56 citations), Molecular Biology (770 citations), Biochemistry (81 citations) and Infectious Diseases (192 citations). Katrin Gunka has collaborated with scholars based in Germany, United Kingdom and Slovenia. Frequent co-authors include Fabian M. Commichau, Jörg Stülke, Christina Herzberg, Volkhard Kaever, Hinnerk Eilers, Rolf Daniel, Uwe Groß, Ortrud Zimmermann, Daniela Wetzel and Erhard Bremer. Their work appears in journals such as Frontiers in Microbiology, Journal of Bacteriology, Microbiology, International Journal of Medical Microbiology and Journal of Visualized Experiments.

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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