Danuta Kapturska

1.0k total citations · 1 hit paper
9 papers, 749 citations indexed

About

Danuta Kapturska is a scholar working on Plant Science, Insect Science and Molecular Biology. According to data from OpenAlex, Danuta Kapturska has authored 9 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 4 papers in Insect Science and 3 papers in Molecular Biology. Recurrent topics in Danuta Kapturska's work include Forest Ecology and Biodiversity Studies (4 papers), Mycorrhizal Fungi and Plant Interactions (4 papers) and Enzyme-mediated dye degradation (3 papers). Danuta Kapturska is often cited by papers focused on Forest Ecology and Biodiversity Studies (4 papers), Mycorrhizal Fungi and Plant Interactions (4 papers) and Enzyme-mediated dye degradation (3 papers). Danuta Kapturska collaborates with scholars based in Germany, Belgium and South Africa. Danuta Kapturska's co-authors include Marek J. Pecyna, Martin Hofrichter, Dirk Krüger, Witoon Purahong, Michael Schloter, François Buscot, Tesfaye Wubet, Guillaume Lentendu, Henryk Flachowsky and Magda‐Viola Hanke and has published in prestigious journals such as PLoS ONE, Scientific Reports and Molecular Ecology.

In The Last Decade

Danuta Kapturska

9 papers receiving 737 citations

Hit Papers

Life in leaf litter: novel insights into community dynami... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danuta Kapturska Germany 9 417 217 210 180 174 9 749
Anna Davidová Czechia 5 306 0.7× 231 1.1× 197 0.9× 137 0.8× 63 0.4× 8 540
Julia Moll Germany 9 324 0.8× 193 0.9× 218 1.0× 143 0.8× 78 0.4× 16 509
Joy Hollingsworth United States 9 450 1.1× 71 0.3× 215 1.0× 128 0.7× 159 0.9× 12 717
Leslie R. Paul Sweden 7 1.1k 2.6× 336 1.5× 168 0.8× 257 1.4× 89 0.5× 8 1.2k
Tanja R. Scheublin Netherlands 9 896 2.1× 242 1.1× 148 0.7× 156 0.9× 84 0.5× 9 1.0k
Mary Madera United States 5 360 0.9× 70 0.3× 207 1.0× 108 0.6× 141 0.8× 7 609
Nils Högberg Sweden 15 483 1.2× 213 1.0× 183 0.9× 111 0.6× 114 0.7× 20 671
Gregory E. MacDonald United States 17 785 1.9× 104 0.5× 96 0.5× 92 0.5× 112 0.6× 103 1.1k
Donn G. Shilling United States 19 908 2.2× 149 0.7× 138 0.7× 83 0.5× 97 0.6× 77 1.1k
Daniele Manzo Italy 4 934 2.2× 70 0.3× 180 0.9× 171 0.9× 235 1.4× 5 1.1k

Countries citing papers authored by Danuta Kapturska

Since Specialization
Citations

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

Fields of papers citing papers by Danuta Kapturska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danuta Kapturska

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

All Works

9 of 9 papers shown
1.
Purahong, Witoon, Tesfaye Wubet, Guillaume Lentendu, et al.. (2016). Life in leaf litter: novel insights into community dynamics of bacteria and fungi during litter decomposition. Molecular Ecology. 25(16). 4059–4074. 315 indexed citations breakdown →
2.
Purahong, Witoon, Danuta Kapturska, Marek J. Pecyna, et al.. (2015). Effects of Forest Management Practices in Temperate Beech Forests on Bacterial and Fungal Communities Involved in Leaf Litter Degradation. Microbial Ecology. 69(4). 905–913. 58 indexed citations
3.
Kellner, Harald, Patricia Luis, Marek J. Pecyna, et al.. (2014). Widespread Occurrence of Expressed Fungal Secretory Peroxidases in Forest Soils. PLoS ONE. 9(4). e95557–e95557. 85 indexed citations
5.
Purahong, Witoon, Michael Schloter, Marek J. Pecyna, et al.. (2014). Uncoupling of microbial community structure and function in decomposing litter across beech forest ecosystems in Central Europe. Scientific Reports. 4(1). 7014–7014. 61 indexed citations
6.
Krüger, Dirk, Danuta Kapturska, Christiane Fischer, Rolf Daniel, & Tesfaye Wubet. (2012). Diversity Measures in Environmental Sequences Are Highly Dependent on Alignment Quality—Data from ITS and New LSU Primers Targeting Basidiomycetes. PLoS ONE. 7(2). e32139–e32139. 16 indexed citations
7.
Gröbe, Glenn, René Ullrich, Marek J. Pecyna, et al.. (2011). High-yield production of aromatic peroxygenase by the agaric fungus Marasmius rotula. AMB Express. 1(1). 31–31. 91 indexed citations
8.
Flachowsky, Henryk, et al.. (2009). THE SWITCH TO FLOWERING: GENES INVOLVED IN FLORAL INDUCTION OF THE APPLE CULTIVAR 'PINOVA' AND THE ROLE OF THE FLOWERING GENE MdFT. Acta Horticulturae. 701–705. 8 indexed citations
9.

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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