David Kneis

2.2k total citations
41 papers, 1.0k citations indexed

About

David Kneis is a scholar working on Pollution, Water Science and Technology and Molecular Medicine. According to data from OpenAlex, David Kneis has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pollution, 13 papers in Water Science and Technology and 12 papers in Molecular Medicine. Recurrent topics in David Kneis's work include Hydrology and Watershed Management Studies (13 papers), Pharmaceutical and Antibiotic Environmental Impacts (13 papers) and Antibiotic Resistance in Bacteria (12 papers). David Kneis is often cited by papers focused on Hydrology and Watershed Management Studies (13 papers), Pharmaceutical and Antibiotic Environmental Impacts (13 papers) and Antibiotic Resistance in Bacteria (12 papers). David Kneis collaborates with scholars based in Germany, Finland and Canada. David Kneis's co-authors include Thomas U. Berendonk, Stefanie Heß, Axel Bronstert, Maik Heistermann, Chandranath Chatterjee, Rajendra Prasad Singh, Gerd Bürger, Dominik E. Reusser, Peter Vermeiren and Florian Borgwardt and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

David Kneis

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Kneis Germany 17 398 290 264 234 200 41 1.0k
Shu‐Yi‐Dan Zhou China 19 495 1.2× 291 1.0× 330 1.3× 174 0.7× 299 1.5× 57 1.4k
Pilar López Spain 20 332 0.8× 187 0.6× 132 0.5× 102 0.4× 335 1.7× 43 1.4k
Shengnan Zhao China 20 409 1.0× 228 0.8× 117 0.4× 32 0.1× 174 0.9× 78 1.4k
Chui Wei Bong Malaysia 18 327 0.8× 114 0.4× 75 0.3× 103 0.4× 202 1.0× 49 878
Tamara García–Armisen Belgium 20 296 0.7× 450 1.6× 55 0.2× 82 0.4× 349 1.7× 28 1.2k
Edyta Kiedrzyńska Poland 18 273 0.7× 253 0.9× 98 0.4× 81 0.3× 196 1.0× 50 822
Biao Chen China 21 258 0.6× 44 0.2× 353 1.3× 84 0.4× 651 3.3× 79 1.3k
Dominic Frigon Canada 19 544 1.4× 185 0.6× 54 0.2× 141 0.6× 256 1.3× 54 1.1k
Qingyu Feng China 15 164 0.4× 287 1.0× 236 0.9× 22 0.1× 89 0.4× 43 702

Countries citing papers authored by David Kneis

Since Specialization
Citations

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

Fields of papers citing papers by David Kneis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kneis

This figure shows the co-authorship network connecting the top 25 collaborators of David Kneis. A scholar is included among the top collaborators of David Kneis 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 David Kneis. David Kneis 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.
Kneis, David, Patrick Schröder, Jens Schönfeld, et al.. (2025). Ecology-based approach to predict no-effect antibiotic concentrations for minimizing environmental selection of resistance. The ISME Journal. 19(1). 2 indexed citations
2.
Fischer, Emily V., Jin Huang, Alan Elena, et al.. (2025). Effects of Cigarette-Derived Compounds on the Spread of Antimicrobial Resistance in Artificial Human Lung Sputum Medium, Simulated Environmental Media, and Wastewater. Environmental Health Perspectives. 133(3-4). 47003–47003. 2 indexed citations
3.
Meyer, Michèle, Matthias Koschorreck, Markus Weitere, David Kneis, & Núria Perujo. (2024). Dissolved organic matter quality, hydrological connectivity and microbial activity shape phosphorus buffering in river-floodplain systems. The Science of The Total Environment. 957. 177452–177452. 2 indexed citations
4.
Meyer, Michael F., Robert T. Hensley, Robert Ladwig, et al.. (2024). The 2024 “Hacking Limnology” Workshop Series and Virtual Summit: Increasing Inclusion, Participation, and Representation in the Aquatic Sciences. Limnology and Oceanography Bulletin. 33(4). 183–186.
5.
Kneis, David, Daniel Padfield, Edina Szekeres, et al.. (2024). Contrary effects of increasing temperatures on the spread of antimicrobial resistance in river biofilms. mSphere. 9(2). e0057323–e0057323. 12 indexed citations
6.
7.
Kneis, David, et al.. (2023). Quantification of the mobility potential of antibiotic resistance genes through multiplexed ddPCR linkage analysis. FEMS Microbiology Ecology. 99(4). 6 indexed citations
8.
Kneis, David, et al.. (2023). Evaluating the sensitivity of droplet digital PCR for the quantification of SARS-CoV-2 in wastewater. Frontiers in Public Health. 11. 1271594–1271594. 4 indexed citations
9.
Kneis, David, et al.. (2023). Trimethoprim resistance in surface and wastewater is mediated by contrasting variants of thedfrBgene. The ISME Journal. 17(9). 1455–1466. 12 indexed citations
10.
Klümper, Uli, et al.. (2023). Shifts from cooperative to individual-based predation defense determine microbial predator-prey dynamics. The ISME Journal. 17(5). 775–785. 8 indexed citations
11.
Heß, Stefanie, Teppo Hiltunen, Thomas U. Berendonk, & David Kneis. (2020). High variability of plasmid uptake rates in Escherichia coli isolated from sewage and river sediments. PLoS ONE. 15(4). e0232130–e0232130. 5 indexed citations
12.
Schuwirth, Nele, Florian Borgwardt, Sami Domisch, et al.. (2019). How to make ecological models useful for environmental management. Ecological Modelling. 411. 108784–108784. 136 indexed citations
13.
Kneis, David, Thomas U. Berendonk, & Stefanie Heß. (2019). High prevalence of colistin resistance genes in German municipal wastewater. The Science of The Total Environment. 694. 133454–133454. 22 indexed citations
14.
Kneis, David, et al.. (2019). Optimum positioning of wastewater treatment plants in a river network: A model-based approach to minimize microbial pollution. The Science of The Total Environment. 691. 1310–1319. 11 indexed citations
15.
Cacace, Damiano, Despo Fatta‐Kassinos, Célia M. Manaia, et al.. (2019). Antibiotic resistance genes in treated wastewater and in the receiving water bodies: A pan-European survey of urban settings. Water Research. 162. 320–330. 261 indexed citations
16.
Kneis, David, Teppo Hiltunen, & Stefanie Heß. (2018). A high-throughput approach to the culture-based estimation of plasmid transfer rates. Plasmid. 101. 28–34. 7 indexed citations
17.
Kneis, David, et al.. (2015). Evaluating the potential of radar-based rainfall estimates for streamflow and flood simulations in the Philippines. Geomatics Natural Hazards and Risk. 7(4). 1390–1405. 22 indexed citations
18.
Kneis, David, Chandranath Chatterjee, & Rajendra Prasad Singh. (2014). Evaluation of TRMM rainfall estimates over a large Indian river basin (Mahanadi). Hydrology and earth system sciences. 18(7). 2493–2502. 68 indexed citations
19.
Kneis, David, et al.. (2006). Analysis and simulation of nutrient retention and management for a lowland river-lake system. Hydrology and earth system sciences. 10(4). 575–588. 21 indexed citations
20.
Kneis, David, et al.. (2005). Flood risk reduction by the use of retention areas at the Elbe River. International Journal of River Basin Management. 3(1). 21–29. 28 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Shu‐Yi‐Dan Zhou Breakdown of academic impact, for papers by Pilar López Breakdown of academic impact, for papers by Shengnan Zhao Breakdown of academic impact, for papers by Chui Wei Bong Breakdown of academic impact, for papers by Tamara García–Armisen Breakdown of academic impact, for papers by Edyta Kiedrzyńska Breakdown of academic impact, for papers by Biao Chen Breakdown of academic impact, for papers by Dominic Frigon Breakdown of academic impact, for papers by Qingyu Feng
Rankless by CCL
2026