Gudrun Krauss

19 total papers · 1.1k total citations
19 papers, 861 citations indexed

About

Gudrun Krauss is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Gudrun Krauss has authored 19 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pollution, 7 papers in Health, Toxicology and Mutagenesis and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Gudrun Krauss's work include Enzyme-mediated dye degradation (5 papers), Chromium effects and bioremediation (5 papers) and Lichen and fungal ecology (5 papers). Gudrun Krauss is often cited by papers focused on Enzyme-mediated dye degradation (5 papers), Chromium effects and bioremediation (5 papers) and Lichen and fungal ecology (5 papers). Gudrun Krauss collaborates with scholars based in Germany, Canada and Switzerland. Gudrun Krauss's co-authors include Dietmar Schlößer, Gerd‐Joachim Krauss, Feli× Bärlocher, Charles Junghanns, Magali Solé, Monika Moeder, Dirk Wesenberg, Kandikere R. Sridhar, Petra Jaeckel and Rainer Wennrich and has published in prestigious journals such as Environmental Science & Technology, Applied and Environmental Microbiology and The Science of The Total Environment.

In The Last Decade

Gudrun Krauss

19 papers receiving 839 citations

Author Peers

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

Author Last Decade Papers Cites
Gudrun Krauss 300 293 273 231 129 19 861
David P. H. Lejon 428 1.4× 248 0.8× 183 0.7× 229 1.0× 52 0.4× 15 1.1k
Gaidi Ren 161 0.5× 374 1.3× 229 0.8× 73 0.3× 53 0.4× 22 752
Séverine Piutti 264 0.9× 419 1.4× 441 1.6× 117 0.5× 38 0.3× 38 1.0k
Guorong Xin 194 0.6× 491 1.7× 199 0.7× 40 0.2× 62 0.5× 46 995
Tomasz Płociniczak 170 0.6× 414 1.4× 345 1.3× 131 0.6× 30 0.2× 32 813
Cindy H. Wu 181 0.6× 216 0.7× 302 1.1× 230 1.0× 36 0.3× 24 1.0k
M. Bischoff 295 1.0× 178 0.6× 253 0.9× 164 0.7× 22 0.2× 15 862
Danielle Beaumier 367 1.2× 184 0.6× 450 1.6× 156 0.7× 35 0.3× 12 886
Charles T. Corke 114 0.4× 220 0.8× 247 0.9× 225 1.0× 40 0.3× 42 928
G. Gramss 104 0.3× 562 1.9× 261 1.0× 87 0.4× 79 0.6× 49 811

Countries citing papers authored by Gudrun Krauss

Since Specialization
Citations

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

Fields of papers citing papers by Gudrun Krauss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gudrun Krauss

This figure shows the co-authorship network connecting the top 25 collaborators of Gudrun Krauss. A scholar is included among the top collaborators of Gudrun Krauss 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 Gudrun Krauss. Gudrun Krauss 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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