Stephan Güttinger
- Molecular Biology top 2%
- Cancer Research top 1%
- Cell Biology top 5%
- Plant Science top 10%
- Genetics top 10%
- Co-authors
- Ulrike KutayElsebet LundÂngelo CaladoJames E. DahlbergEva LaurellPetra MühlhäusserKarl GademannJean‐Yves Wach
- Topics
- RNA Research and Splicing (7 papers)Nuclear Structure and Function (6 papers)RNA regulation and disease (3 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Stephan Güttinger
22 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 3.0k
- Cancer Research 1.6k
- Cell Biology 229
- Plant Science 205
- Genetics 186
Countries citing papers authored by Stephan Güttinger
This map shows the geographic impact of Stephan Güttinger'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 Stephan Güttinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Güttinger more than expected).
Fields of papers citing papers by Stephan Güttinger
This network shows the impact of papers produced by Stephan Güttinger. 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 Stephan Güttinger. The network helps show where Stephan Güttinger may publish in the future.
Co-authorship network of co-authors of Stephan Güttinger
This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Güttinger. A scholar is included among the top collaborators of Stephan Güttinger 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 Stephan Güttinger. Stephan Güttinger 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 | 0 | |
| 3 | 13 | |
| 4 | 27 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 18 | |
| 10 | 39 | |
| 11 | 2 | |
| 12 | 74 | |
| 13 | 29 | |
| 14 | 85 | |
| 15 | 52 | |
| 16 | 369 | |
| 17 | 45 | |
| 18 | 181 | |
| 19 | 66 | |
| 20 | Nuclear Export of MicroRNA Precursorsbreakdown → | 2047 |
About Stephan Güttinger
Stephan Güttinger is a scholar working on History and Philosophy of Science, Business and International Management and Statistics, Probability and Uncertainty, having authored 26 papers that have together received 3.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Nuclear Structure and Function (6 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (3.0k citations) and Cell Biology (229 citations). Stephan Güttinger has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Ulrike Kutay, Elsebet Lund, Ângelo Calado, James E. Dahlberg, Eva Laurell, Petra Mühlhäusser, Karl Gademann, Jean‐Yves Wach, Simone Bonazzi and Ivo Zemp. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.