Uwe Dünnbier

2.1k total citations
33 papers, 1.7k citations indexed

About

Uwe Dünnbier is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Analytical Chemistry. According to data from OpenAlex, Uwe Dünnbier has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pollution, 17 papers in Health, Toxicology and Mutagenesis and 16 papers in Analytical Chemistry. Recurrent topics in Uwe Dünnbier's work include Pharmaceutical and Antibiotic Environmental Impacts (27 papers), Analytical chemistry methods development (15 papers) and Water Treatment and Disinfection (15 papers). Uwe Dünnbier is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (27 papers), Analytical chemistry methods development (15 papers) and Water Treatment and Disinfection (15 papers). Uwe Dünnbier collaborates with scholars based in Germany, Armenia and Spain. Uwe Dünnbier's co-authors include Thomas Heberer, Gudrun Massmann, Thomas Taute, A. Pekdeğer, Kirsten Reddersen, Andrea Knappe, Doreen Richter, Sebastian Zühlke, Martin Jekel and Thorsten Reemtsma and has published in prestigious journals such as Environmental Science & Technology, Water Research and Chemosphere.

In The Last Decade

Uwe Dünnbier

33 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uwe Dünnbier Germany 21 1.1k 819 406 359 354 33 1.7k
Kimberlee K. Barnes United States 9 1.1k 0.9× 632 0.8× 457 1.1× 268 0.7× 96 0.3× 17 1.6k
Jeffery D. Cahill United States 8 1.3k 1.1× 692 0.8× 387 1.0× 400 1.1× 92 0.3× 8 1.7k
Manoj Schulz Germany 19 618 0.5× 496 0.6× 462 1.1× 196 0.5× 168 0.5× 27 1.3k
Karsten Nödler Germany 34 1.6k 1.4× 1.4k 1.7× 456 1.1× 448 1.2× 324 0.9× 59 3.0k
Jacob Gibs United States 10 610 0.5× 407 0.5× 340 0.8× 154 0.4× 169 0.5× 22 1.0k
Marianne Köck-Schulmeyer Spain 19 1.2k 1.0× 822 1.0× 316 0.8× 318 0.9× 72 0.2× 21 1.8k
M. Tahir Shah Pakistan 18 1.2k 1.1× 584 0.7× 793 2.0× 258 0.7× 165 0.5× 37 2.4k
David Bendz Sweden 15 627 0.5× 279 0.3× 205 0.5× 219 0.6× 165 0.5× 26 1.1k
Julien Reungoat Australia 13 1.2k 1.0× 1.1k 1.4× 688 1.7× 224 0.6× 153 0.4× 20 2.0k
Werner Kördel Germany 23 1.3k 1.1× 692 0.8× 233 0.6× 240 0.7× 113 0.3× 71 2.1k

Countries citing papers authored by Uwe Dünnbier

Since Specialization
Citations

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

Fields of papers citing papers by Uwe Dünnbier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uwe Dünnbier

This figure shows the co-authorship network connecting the top 25 collaborators of Uwe Dünnbier. A scholar is included among the top collaborators of Uwe Dünnbier 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 Uwe Dünnbier. Uwe Dünnbier 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.
Wicke, Daniel, et al.. (2022). Emissions from Building Materials—A Threat to the Environment?. Water. 14(3). 303–303. 20 indexed citations
2.
Jekel, Martin, Wolfgang Dott, Axel Bergmann, et al.. (2015). Selection of organic process and source indicator substances for the anthropogenically influenced water cycle. Chemosphere. 125. 155–167. 144 indexed citations
3.
Zietzschmann, Frederik, Johannes Altmann, Aki Sebastian Ruhl, et al.. (2014). Estimating organic micro-pollutant removal potential of activated carbons using UV absorption and carbon characteristics. Water Research. 56. 48–55. 100 indexed citations
4.
5.
Meffe, Raffaella, Claus Kohfahl, Janek Greskowiak, et al.. (2013). Fate of para-toluenesulfonamide (p-TSA) in groundwater under anoxic conditions: modelling results from a field site in Berlin (Germany). Environmental Science and Pollution Research. 21(1). 568–583. 18 indexed citations
6.
Massmann, Gudrun, et al.. (2012). Groundwater dating with the helium-tritium method to assess the long-term persistence of pharmaceuticals and their residues in groundwater. EGUGA. 4648. 1 indexed citations
7.
8.
Kirillin, Georgiy, et al.. (2012). Seeking a compromise between pharmaceutical pollution and phosphorus load: Management strategies for Lake Tegel, Berlin. Water Research. 46(13). 4153–4163. 21 indexed citations
9.
Dünnbier, Uwe, et al.. (2012). Occurrence of psychoactive compounds and their metabolites in groundwater downgradient of a decommissioned sewage farm in Berlin (Germany). Environmental Science and Pollution Research. 19(6). 2096–2106. 20 indexed citations
10.
Wiese, Bernd, Gudrun Massmann, Martin Jekel, et al.. (2011). Removal kinetics of organic compounds and sum parameters under field conditions for managed aquifer recharge. Water Research. 45(16). 4939–4950. 80 indexed citations
11.
Geißen, Sven‐Uwe, et al.. (2011). Simulation and source identification of X-ray contrast media in the water cycle of Berlin. Journal of Environmental Management. 92(11). 2913–2923. 6 indexed citations
12.
Meffe, Raffaella, Claus Kohfahl, Ekkehard Holzbecher, et al.. (2009). Modelling the removal of p-TSA (para-toluenesulfonamide) during rapid sand filtration used for drinking water treatment. Water Research. 44(1). 205–213. 18 indexed citations
13.
Heberer, Thomas, et al.. (2008). Behaviour and redox sensitivity of antimicrobial residues during bank filtration. Chemosphere. 73(4). 451–460. 105 indexed citations
14.
Richter, Doreen, Gudrun Massmann, & Uwe Dünnbier. (2008). Behaviour and biodegradation of sulfonamides (p-TSA, o-TSA, BSA) during drinking water treatment. Chemosphere. 71(8). 1574–1581. 43 indexed citations
15.
Massmann, Gudrun, Uwe Dünnbier, Thomas Heberer, & Thomas Taute. (2008). Behaviour and redox sensitivity of pharmaceutical residues during bank filtration – Investigation of residues of phenazone-type analgesics. Chemosphere. 71(8). 1476–1485. 114 indexed citations
16.
Richter, Doreen, Gudrun Massmann, & Uwe Dünnbier. (2007). Identification and significance of sulphonamides (p-TSA, o-TSA, BSA) in an urban water cycle (Berlin, Germany). Water Research. 42(6-7). 1369–1378. 31 indexed citations
17.
Richter, Doreen, Uwe Dünnbier, Gudrun Massmann, & A. Pekdeğer. (2007). Quantitative determination of three sulfonamides in environmental water samples using liquid chromatography coupled to electrospray tandem mass spectrometry. Journal of Chromatography A. 1157(1-2). 115–121. 44 indexed citations
18.
19.
Reddersen, Kirsten, Thomas Heberer, & Uwe Dünnbier. (2002). Identification and significance of phenazone drugs and their metabolites in ground- and drinking water. Chemosphere. 49(6). 539–544. 175 indexed citations
20.
Jugelt, Werner, et al.. (1990). Elektrosynthese von Enhydrazinen aus Arylvinylbromiden. Zeitschrift für Chemie. 30(1). 21–22. 1 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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