Danuta Cichocka

708 total citations
22 papers, 531 citations indexed

About

Danuta Cichocka is a scholar working on Pollution, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Danuta Cichocka has authored 22 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pollution, 5 papers in Molecular Biology and 5 papers in Biomedical Engineering. Recurrent topics in Danuta Cichocka's work include Microbial bioremediation and biosurfactants (8 papers), Microbial Community Ecology and Physiology (4 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Danuta Cichocka is often cited by papers focused on Microbial bioremediation and biosurfactants (8 papers), Microbial Community Ecology and Physiology (4 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Danuta Cichocka collaborates with scholars based in Switzerland, Germany and Belgium. Danuta Cichocka's co-authors include Ivonne Nijenhuis, Hans H. Richnow, Gwenaël Imfeld, Philippe F.-X. Corvini, Michael Siegert, Benjamin Ricken, Marcell Nikolausz, Boris A. Kolvenbach, Dirk Springael and Steffi Herrmann and has published in prestigious journals such as Environmental Science & Technology, Applied and Environmental Microbiology and Chemosphere.

In The Last Decade

Danuta Cichocka

20 papers receiving 519 citations

Peers

Danuta Cichocka
Rayford B. Payne United States
Abigail W. Porter United States
Clint M. Arnett United States
Anne K. Alexander United States
V. Brenner Czechia
Peter Oswald Slovakia
Songyan Du United States
Danuta Cichocka
Citations per year, relative to Danuta Cichocka Danuta Cichocka (= 1×) peers Vânia S. Bessa

Countries citing papers authored by Danuta Cichocka

Since Specialization
Citations

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

Fields of papers citing papers by Danuta Cichocka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danuta Cichocka

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

All Works

20 of 20 papers shown
1.
Wagner, Christine, et al.. (2025). Nanomotion-Based Drug Sensitivity Prediction in Ovarian and Colon Cancer Cell Lines Using Machine Learning. ACS Pharmacology & Translational Science. 8(9). 3149–3159.
3.
Mets, Toomas, Marta Putrinš, Niilo Kaldalu, et al.. (2025). Nanomotion technology for testing azithromycin susceptibility of Salmonella enterica. Microbiology Spectrum. 13(6). e0238524–e0238524. 1 indexed citations
4.
Vocat, Anthony, Claudia Antoni, Danuta Cichocka, et al.. (2024). Real-time evaluation of macozinone activity against Mycobacterium tuberculosis through bacterial nanomotion analysis. Antimicrobial Agents and Chemotherapy. 69(1). e0131824–e0131824. 3 indexed citations
5.
Kebbi‐Beghdadi, Carole, et al.. (2024). Nanomotion technology: an innovative method to study cell metabolism in Escherichia coli, as a potential indicator for tolerance. Journal of Medical Microbiology. 73(11). 4 indexed citations
6.
Vocat, Anthony, et al.. (2023). Nanomotion technology in combination with machine learning: a new approach for a rapid antibiotic susceptibility test for Mycobacterium tuberculosis. Microbes and Infection. 25(7). 105151–105151. 15 indexed citations
7.
Kolvenbach, Boris A., et al.. (2018). Gene cloning system for sulfonamide-mineralizing Microbacterium sp. strain BR1. Journal of Applied Genetics. 59(1). 119–121. 2 indexed citations
8.
Woźniak-Karczewska, Marta, Monika Čvančarová, Łukasz Chrzanowski, Philippe F.-X. Corvini, & Danuta Cichocka. (2017). Bacterial isolates degrading ritalinic acid—human metabolite of neuro enhancer methylphenidate. New Biotechnology. 43. 30–36. 12 indexed citations
9.
Woźniak-Karczewska, Marta, Monika Čvančarová, Łukasz Chrzanowski, et al.. (2017). Isolation of two Ochrobactrum sp. strains capable of degrading the nootropic drug—Piracetam. New Biotechnology. 43. 37–43. 15 indexed citations
10.
Wohlgemuth, Roland, et al.. (2017). Interim Evaluation of the Bio-based Industries Joint Undertaking (2014-2016) operating under Horizon 2020. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 2 indexed citations
11.
Lu, Yue, Javier Ramiro‐Garcia, Steffi Herrmann, et al.. (2016). Dechlorination of three tetrachlorobenzene isomers by contaminated harbor sludge-derived enrichment cultures follows thermodynamically favorable reactions. Applied Microbiology and Biotechnology. 101(6). 2589–2601. 18 indexed citations
12.
Herrmann, Steffi, Danuta Cichocka, Pieter Busschaert, et al.. (2014). Diversity of dechlorination pathways and organohalide respiring bacteria in chlorobenzene dechlorinating enrichment cultures originating from river sludge. Biodegradation. 25(5). 757–776. 19 indexed citations
13.
Ricken, Benjamin, Philippe F.-X. Corvini, Danuta Cichocka, et al.. (2013). ipso -Hydroxylation and Subsequent Fragmentation: a Novel Microbial Strategy To Eliminate Sulfonamide Antibiotics. Applied and Environmental Microbiology. 79(18). 5550–5558. 117 indexed citations
14.
15.
Cichocka, Danuta, et al.. (2011). European Union research and innovation perspectives on biotechnology. Journal of Biotechnology. 156(4). 382–391. 15 indexed citations
16.
Cichocka, Danuta, et al.. (2010). Tetrachloroethene conversion to ethene by aDehalococcoides-containing enrichment culture from Bitterfeld. FEMS Microbiology Ecology. 72(2). 297–310. 37 indexed citations
17.
Liu, Fang, Danuta Cichocka, Ivonne Nijenhuis, Hans H. Richnow, & Donna E. Fennell. (2010). Carbon isotope fractionation during dechlorination of 1,2,3,4-tetrachlorodibenzo-p-dioxin by a Dehalococcoides-containing culture. Chemosphere. 80(10). 1113–1119. 15 indexed citations
18.
Siegert, Michael, Danuta Cichocka, Steffi Herrmann, et al.. (2010). Accelerated methanogenesis from aliphatic and aromatic hydrocarbons under iron- and sulfate-reducing conditions. FEMS Microbiology Letters. 315(1). 6–16. 51 indexed citations
19.
Cichocka, Danuta, Michael Siegert, Gwenaël Imfeld, et al.. (2007). Factors controlling the carbon isotope fractionation of tetra- and trichloroethene during reductive dechlorination by Sulfurospirillum ssp. and Desulfitobacterium sp. strain PCE-S. FEMS Microbiology Ecology. 62(1). 98–107. 66 indexed citations
20.
Cichocka, Danuta, Gwenaël Imfeld, Hans H. Richnow, & Ivonne Nijenhuis. (2007). Variability in microbial carbon isotope fractionation of tetra- and trichloroethene upon reductive dechlorination. Chemosphere. 71(4). 639–648. 66 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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