U. Kapp
Impact in
- Structural Biology top 5%
-
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
- Protein Structure and Dynamics
Papers in
-
- RNA and protein synthesis mechanisms 6
- Protein Structure and Dynamics 5
- DNA and Nucleic Acid Chemistry 4
- DNA Repair Mechanisms 3
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- Enzyme Structure and Function 10
- Co-authors
- Laurent Terradot (6 shared papers)Jörg Langowski (5 shared papers)Seán McSweeney (5 shared papers)S. Cusack (5 shared papers)Katharina Strub (5 shared papers)Joseph M. Jez (2 shared papers)Corey S. Westfall (2 shared papers)Chloé Zubieta (3 shared papers)
- Journals
- FEBS Letters (3 papers)Structure (2 papers)Analytical Biochemistry (2 papers)Biochimie (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- FranceGermanyUnited Kingdom
In The Last Decade
U. Kapp
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Structural Biology 31
- Molecular Biology 669
- Immunology 159
- Molecular Medicine 35
- Small Animals 47
Countries citing papers authored by U. Kapp
This map shows the geographic impact of U. Kapp'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 U. Kapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U. Kapp more than expected).
Fields of papers citing papers by U. Kapp
This network shows the impact of papers produced by U. Kapp. 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 U. Kapp. The network helps show where U. Kapp may publish in the future.
Co-authors
The 25 scholars most cited alongside U. Kapp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 180 | |
| 2 | 2012 | 127 | |
| 3 | 2015 | 104 | |
| 4 | 2006 | 63 | |
| 5 | 2004 | 61 | |
| 6 | 1996 | 48 | |
| 7 | 1997 | 47 | |
| 8 | 1997 | 46 | |
| 9 | 1989 | 42 | |
| 10 | 2009 | 42 | |
| 11 | 2011 | 40 | |
| 12 | 2013 | 39 | |
| 13 | 2012 | 37 | |
| 14 | 2016 | 36 | |
| 15 | 2004 | 32 | |
| 16 | 2001 | 31 | |
| 17 | 1992 | 27 | |
| 18 | 1994 | 26 | |
| 19 | Identification of a minimal Alu RNA folding domain that specifically binds SRP9/14. | 1997 | 25 |
| 20 | 2006 | 18 |
About U. Kapp
U. Kapp is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Spectroscopy and Surgery, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Enzyme Structure and Function (10 papers), Bacterial Genetics and Biotechnology (8 papers), RNA and protein synthesis mechanisms (6 papers), Protein Structure and Dynamics (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers), DNA Repair Mechanisms (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Structural Biology (31 citations), Molecular Biology (669 citations), Immunology (159 citations), Molecular Medicine (35 citations) and Small Animals (47 citations). U. Kapp has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Laurent Terradot, Jörg Langowski, Seán McSweeney, S. Cusack, Katharina Strub, Joseph M. Jez, Corey S. Westfall, Chloé Zubieta, Gordon A. Leonard and Brigitte Wittmann‐Liebold. Their work appears in journals such as FEBS Letters, Structure, Analytical Biochemistry, Biochimie and Journal of Biological Chemistry.
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.