Uwe Kühn
- Atmospheric Science top 0.5%
- Molecular Biology top 5%
- Global and Planetary Change top 1%
- Plant Science top 2%
- Health, Toxicology and Mutagenesis top 1%
- Co-authors
- Elmar WahleJ. KesselmeierTomas PielerAlex GuentherP. CiccioliA. WolfS. RottenbergerP. Stefani
- Topics
- Atmospheric chemistry and aerosols (45 papers)Plant responses to elevated CO2 (25 papers)RNA Research and Splicing (17 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Uwe Kühn
87 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Atmospheric Science 2.4k
- Molecular Biology 2.1k
- Global and Planetary Change 1.6k
- Plant Science 1.3k
- Health, Toxicology and Mutagenesis 709
Countries citing papers authored by Uwe Kühn
This map shows the geographic impact of Uwe Kühn'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 Kühn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uwe Kühn more than expected).
Fields of papers citing papers by Uwe Kühn
This network shows the impact of papers produced by Uwe Kühn. 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 Kühn. The network helps show where Uwe Kühn may publish in the future.
Co-authorship network of co-authors of Uwe Kühn
This figure shows the co-authorship network connecting the top 25 collaborators of Uwe Kühn. A scholar is included among the top collaborators of Uwe Kühn 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 Kühn. Uwe Kühn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 17 | |
| 3 | 55 | |
| 4 | 2 | |
| 5 | Elevated HONO emissions in agricultural system: model simulation by the improved DNDC model (DNDC-HONO) | 0 |
| 6 | 24 | |
| 7 | 26 | |
| 8 | 160 | |
| 9 | 271 | |
| 10 | 29 | |
| 11 | 38 | |
| 12 | 37 | |
| 13 | 30 | |
| 14 | 261 | |
| 15 | Effects of high ambient temperature on plant physiology and the emission of monoterpenes, isoprene, and volatile organic carbon by beech observed during ECHO-field campaigns in 2002 and 2003 | 1 |
| 16 | Volatile Organic Compound Emissions Account For A Significant Part Of The Residual Net Terrestrial Carbon Sink | 1 |
| 17 | 30 | |
| 18 | 85 | |
| 19 | 79 | |
| 20 | 198 |
About Uwe Kühn
Uwe Kühn is a scholar working on Atmospheric Science, Process Chemistry and Technology and Global and Planetary Change, having authored 92 papers that have together received 5.8k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (45 papers), Plant responses to elevated CO2 (25 papers) and RNA Research and Splicing (17 papers). The work is most often cited by research in Atmospheric Science (2.4k citations), Global and Planetary Change (1.6k citations) and Health, Toxicology and Mutagenesis (709 citations). Uwe Kühn has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Elmar Wahle, J. Kesselmeier, Tomas Pieler, Alex Guenther, P. Ciccioli, A. Wolf, S. Rottenberger, P. Stefani, Meinrat O. Andreae and Simone Tilmes. Their work appears in journals such as Cell, Journal of Biological Chemistry and Genes & Development.
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.