Matthias Kästner
- Pollution top 0.05%
- Ecology top 0.5%
- Soil Science top 0.2%
- Industrial and Manufacturing Engineering top 0.1%
- Health, Toxicology and Mutagenesis top 0.5%
- Co-authors
- Anja MiltnerChao LiangPeter KuschkHans H. RichnowBernd MahroArndt WießnerJohannes LehmannWulf Amelung
- Topics
- Microbial Community Ecology and Physiology (46 papers)Microbial bioremediation and biosurfactants (35 papers)Constructed Wetlands for Wastewater Treatment (27 papers)
In The Last Decade
Matthias Kästner
158 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Pollution 4.0k
- Ecology 3.3k
- Soil Science 2.9k
- Industrial and Manufacturing Engineering 2.2k
- Health, Toxicology and Mutagenesis 1.7k
Countries citing papers authored by Matthias Kästner
This map shows the geographic impact of Matthias Kästner'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 Matthias Kästner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Kästner more than expected).
Fields of papers citing papers by Matthias Kästner
This network shows the impact of papers produced by Matthias Kästner. 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 Matthias Kästner. The network helps show where Matthias Kästner may publish in the future.
Co-authorship network of co-authors of Matthias Kästner
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Kästner. A scholar is included among the top collaborators of Matthias Kästner 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 Matthias Kästner. Matthias Kästner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 44 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 11 | |
| 8 | 38 | |
| 9 | 29 | |
| 10 | 22 | |
| 11 | Quantitative assessment of microbial necromass contribution to soil organic matterbreakdown → | 1152 |
| 12 | 35 | |
| 13 | Contribution of microorganisms to non-extractable residue formation from biodegradable organic contaminants in soil | 1 |
| 14 | SOM genesis: microbial biomass as a significant sourcebreakdown → | 872 |
| 15 | 294 | |
| 16 | 7 | |
| 17 | 25 | |
| 18 | 123 | |
| 19 | 12 | |
| 20 | 70 |
About Matthias Kästner
Matthias Kästner is a scholar working on Pollution, Industrial and Manufacturing Engineering and Soil Science, having authored 160 papers that have together received 10.3k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (46 papers), Microbial bioremediation and biosurfactants (35 papers) and Constructed Wetlands for Wastewater Treatment (27 papers). The work is most often cited by research in Pollution (4.0k citations), Soil Science (2.9k citations) and Industrial and Manufacturing Engineering (2.2k citations). Matthias Kästner has collaborated with scholars based in Germany, China and Denmark. Frequent co-authors include Anja Miltner, Chao Liang, Peter Kuschk, Hans H. Richnow, Bernd Mahro, Arndt Wießner, Johannes Lehmann, Wulf Amelung, Petra Bombach and Uwe Kappelmeyer. Their work appears in journals such as Nature Communications, Environmental Science & Technology and The Science of The Total Environment.
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.