Kai Uwe Totsche

9.2k total citations · 1 hit paper
178 papers, 6.8k citations indexed

About

Kai Uwe Totsche is a scholar working on Environmental Engineering, Environmental Chemistry and Ecology. According to data from OpenAlex, Kai Uwe Totsche has authored 178 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Environmental Engineering, 39 papers in Environmental Chemistry and 38 papers in Ecology. Recurrent topics in Kai Uwe Totsche's work include Groundwater flow and contamination studies (47 papers), Soil and Unsaturated Flow (32 papers) and Microbial Community Ecology and Physiology (28 papers). Kai Uwe Totsche is often cited by papers focused on Groundwater flow and contamination studies (47 papers), Soil and Unsaturated Flow (32 papers) and Microbial Community Ecology and Physiology (28 papers). Kai Uwe Totsche collaborates with scholars based in Germany, United States and United Kingdom. Kai Uwe Totsche's co-authors include Ingrid Kögel‐Knabner, Kirsten Küsel, Karin Eusterhues, Thilo Rennert, Robert Lehmann, Heike Knicker, Markus Steffens, Angelika Kölbl, Markus Wehrer and Martina Herrmann and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Kai Uwe Totsche

169 papers receiving 6.7k citations

Hit Papers

Microaggregates in soils 2017 2026 2020 2023 2017 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Kai Uwe Totsche 1.7k 1.7k 1.5k 1.4k 1.2k 178 6.8k
Peter Nico 2.4k 1.4× 1.5k 0.9× 1.5k 1.0× 1.3k 0.9× 1.1k 0.9× 123 8.7k
Marco Keiluweit 3.3k 1.9× 1.7k 1.0× 1.3k 0.9× 1.6k 1.1× 716 0.6× 59 9.0k
Reinhold Jahn 2.8k 1.6× 1.3k 0.8× 1.4k 1.0× 1.0k 0.7× 533 0.4× 92 6.5k
Martin H. Gerzabek 3.8k 2.2× 2.1k 1.2× 1.4k 1.0× 1.8k 1.3× 733 0.6× 217 10.0k
Robert Mikutta 3.9k 2.3× 2.3k 1.4× 1.9k 1.3× 959 0.7× 649 0.5× 107 7.9k
James E. Amonette 3.3k 1.9× 799 0.5× 1.3k 0.9× 1.1k 0.8× 1.4k 1.1× 108 11.8k
Aaron Thompson 1.7k 1.0× 982 0.6× 1.4k 1.0× 595 0.4× 501 0.4× 113 4.8k
S.E.A.T.M. van der Zee 1.3k 0.8× 749 0.4× 1.5k 1.0× 2.0k 1.4× 2.0k 1.6× 233 7.2k
Jon Chorover 2.7k 1.5× 1.9k 1.1× 3.0k 2.0× 2.3k 1.6× 1.4k 1.1× 269 12.8k
Ronald J. Smernik 4.1k 2.4× 1.2k 0.7× 2.0k 1.4× 1.7k 1.2× 358 0.3× 175 10.2k

Countries citing papers authored by Kai Uwe Totsche

Since Specialization
Citations

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

Fields of papers citing papers by Kai Uwe Totsche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Uwe Totsche

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Uwe Totsche. A scholar is included among the top collaborators of Kai Uwe Totsche 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 Kai Uwe Totsche. Kai Uwe Totsche 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
2.
Schöning, Ingo, Christian Poll, Ellen Kandeler, et al.. (2025). Land use and mineral type determine stability of newly formed mineral-associated organic matter. Communications Earth & Environment. 6(1). 1 indexed citations
3.
Lehmann, Katharina, Robert Lehmann, Narendrakumar M. Chaudhari, et al.. (2025). Hydroclimatic extremes threaten groundwater quality and stability. Nature Communications. 16(1). 720–720. 12 indexed citations
4.
Gałkowski, Michał, Friedemann Reum, Santiago Botía, et al.. (2024). Recommended coupling to global meteorological fields for long-term tracer simulations with WRF-GHG. Geoscientific model development. 17(20). 7401–7422.
5.
Wegner, Carl‐Eric, Raphaela Stahl, Irina M. Velsko, et al.. (2023). A glimpse of the paleome in endolithic microbial communities. Microbiome. 11(1). 210–210. 4 indexed citations
6.
Eusterhues, Karin, Jürgen Thieme, Tohru Araki, et al.. (2023). Importance of inner-sphere P-O-Fe bonds in natural and synthetic mineral-organic associations. The Science of The Total Environment. 905. 167232–167232. 4 indexed citations
7.
Ritschel, Thomas & Kai Uwe Totsche. (2023). Reductive transformation of birnessite by low-molecular-weight organic acids. Chemosphere. 325. 138414–138414. 9 indexed citations
8.
Monteil, Guillaume, Marko Scholze, Ute Karstens, et al.. (2023). Why do inverse models disagree? A case study with two European CO 2 inversions. Atmospheric chemistry and physics. 23(4). 2813–2828. 17 indexed citations
9.
Rödenbeck, Christian, Thomas Koch, Kai Uwe Totsche, et al.. (2021). NEE estimates 2006–2019 over Europe from a pre-operational ensemble-inversion system. 1 indexed citations
10.
Totsche, Kai Uwe, et al.. (2021). Pathways of biogenically excreted organic matter into soil aggregates. Soil Biology and Biochemistry. 164. 108483–108483. 115 indexed citations
11.
Fritzsche, Andreas, Julian Bosch, Michael Sander, et al.. (2021). Organic Matter from Redoximorphic Soils Accelerates and Sustains Microbial Fe(III) Reduction. Environmental Science & Technology. 55(15). 10821–10831. 38 indexed citations
12.
Yan, Lijuan, Martina Herrmann, Bernd Kampe, et al.. (2019). Environmental selection shapes the formation of near-surface groundwater microbiomes. Water Research. 170. 115341–115341. 99 indexed citations
13.
Schwab, Valérie F., Clayton D. Elder, Susan Trumbore, et al.. (2019). 14C‐Free Carbon Is a Major Contributor to Cellular Biomass in Geochemically Distinct Groundwater of Shallow Sedimentary Bedrock Aquifers. Water Resources Research. 55(3). 2104–2121. 19 indexed citations
14.
Herrmann, Martina, Patricia Geesink, Lijuan Yan, et al.. (2019). Complex food webs coincide with high genetic potential for chemolithoautotrophy in fractured bedrock groundwater. Water Research. 170. 115306–115306. 24 indexed citations
15.
Schwab, Valérie F., Susan Trumbore, Xiaomei Xu, et al.. (2019). Isolation of Individual Saturated Fatty Acid Methyl Esters Derived From Groundwater Phospholipids by Preparative High‐Pressure Liquid Chromatography for Compound‐Specific Radiocarbon Analyses. Water Resources Research. 55(3). 2521–2531. 6 indexed citations
16.
Cooper, Rebecca E., Karin Eusterhues, Carl‐Eric Wegner, Kai Uwe Totsche, & Kirsten Küsel. (2017). Ferrihydrite-associated organic matter (OM) stimulates reduction by Shewanella oneidensis MR-1 and a complex microbial consortia. Biogeosciences. 14(22). 5171–5188. 51 indexed citations
17.
Schwab, Valérie F., Martina Herrmann, Vanessa-Nina Roth, et al.. (2017). Functional diversity of microbial communities in pristine aquifers inferred by PLFA- and sequencing-based approaches. Biogeosciences. 14(10). 2697–2714. 52 indexed citations
18.
Lehmann, Robert, et al.. (2017). Aquifer configuration and geostructural links control the groundwater quality in thin-bedded carbonate–siliciclastic alternations of the Hainich CZE, central Germany. Hydrology and earth system sciences. 21(12). 6091–6116. 58 indexed citations
20.
Gerbig, Christoph, Kai Uwe Totsche, A. J. Dolman, et al.. (2015). An objective prior error quantification for regional atmospheric inverse applications. Biogeosciences. 12(24). 7403–7421. 13 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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