Uwe von Ahsen
- Microbiology top 2%
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 22
- RNA Research and Splicing 9
- RNA modifications and cancer 8
- RNA regulation and disease 2
- Ecology top 5%
- Bacteriophages and microbial interactions 8
- Nephrology top 5%
- Endocrinology top 10%
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- Bacterial Genetics and Biotechnology 3
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- Viral Infections and Immunology Research 2
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- Immune Response and Inflammation 2
- Co-authors
- Renée SchroederJulian DaviesAlexander von GabainHarry F. NollerH F NollerMichael FamulokUdo BläsiThomas Weichhart
- Cited by
- MicrobiologyMolecular BiologyEcology
- Journals
- Nature (1 paper)Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Uwe von Ahsen
26 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 92
- Microbiology 188
- Molecular Biology 1.6k
- Ecology 449
- Nephrology 118
- Endocrinology 60
Countries citing papers authored by Uwe von Ahsen
This map shows the geographic impact of Uwe von Ahsen'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 von Ahsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uwe von Ahsen more than expected).
Fields of papers citing papers by Uwe von Ahsen
This network shows the impact of papers produced by Uwe von Ahsen. 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 von Ahsen. The network helps show where Uwe von Ahsen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Uwe von Ahsen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 2 | |
| 2 | 2005 | 188 | |
| 3 | 2005 | 164 | |
| 4 | 2003 | 59 | |
| 5 | 2002 | 173 | |
| 6 | 1999 | 81 | |
| 7 | 1999 | 122 | |
| 8 | 1998 | 8 | |
| 9 | Identification of 2'-hydroxyl groups required for interaction of a tRNA anticodon stem-loop region with the ribosome. | 1997 | 41 |
| 10 | 1997 | 37 | |
| 11 | 1997 | 13 | |
| 12 | 1996 | 118 | |
| 13 | 1995 | 158 | |
| 14 | 1993 | 15 | |
| 15 | 1993 | 15 | |
| 16 | 1992 | 107 | |
| 17 | 1991 | 25 | |
| 18 | 1991 | 47 | |
| 19 | 1991 | 78 | |
| 20 | 1991 | 229 |
About Uwe von Ahsen
Uwe von Ahsen is a scholar working on Microbiology, Molecular Biology and Ecology, having authored 26 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (22 papers), RNA Research and Splicing (9 papers), RNA modifications and cancer (8 papers), Bacteriophages and microbial interactions (8 papers), Bacterial Genetics and Biotechnology (3 papers), Viral Infections and Immunology Research (2 papers), RNA regulation and disease (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Microbiology (188 citations), Molecular Biology (1.6k citations) and Ecology (449 citations). Uwe von Ahsen has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Renée Schroeder, Julian Davies, Alexander von Gabain, Harry F. Noller, H F Noller, Michael Famulok, Udo Bläsi, Thomas Weichhart, Kim Nasmyth and Sara B.C. Buonomo. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.