Peter F. Stadler
- Molecular Biology top 0.05%
- Genetics top 0.05%
- Cancer Research top 0.05%
- Ecology top 0.2%
- Plant Science top 0.2%
- Co-authors
- Ivo L. HofackerStephan WolfChristoph FlammHakim TaferWalter FontanaFrank JühlingPeter SchusterMatthias Bernt
- Topics
- RNA and protein synthesis mechanisms (250 papers)Genomics and Phylogenetic Studies (193 papers)RNA modifications and cancer (148 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Peter F. Stadler
645 papers receiving 37.6k citations
Hit Papers
Peers
Comparison fields: 5 of 221
- Molecular Biology 27.9k
- Genetics 6.7k
- Cancer Research 6.5k
- Ecology 4.3k
- Plant Science 3.8k
Countries citing papers authored by Peter F. Stadler
This map shows the geographic impact of Peter F. Stadler'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 Peter F. Stadler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter F. Stadler more than expected).
Fields of papers citing papers by Peter F. Stadler
This network shows the impact of papers produced by Peter F. Stadler. 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 Peter F. Stadler. The network helps show where Peter F. Stadler may publish in the future.
Co-authorship network of co-authors of Peter F. Stadler
This figure shows the co-authorship network connecting the top 25 collaborators of Peter F. Stadler. A scholar is included among the top collaborators of Peter F. Stadler 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 Peter F. Stadler. Peter F. Stadler 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 | 1 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 6 | |
| 6 | 18 | |
| 7 | 15 | |
| 8 | 24 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 35 | |
| 12 | 12 | |
| 13 | Best match graphs | 7 |
| 14 | 35 | |
| 15 | 30 | |
| 16 | 72 | |
| 17 | 6 | |
| 18 | 53 | |
| 19 | Interleukin-6–dependent survival of multiple myeloma cells involves the Stat3-mediated induction of microRNA-21 through a highly conserved enhancerbreakdown → | 524 |
| 20 | litsift: Automated Text Categorization in Bibliographic Search | 2 |
About Peter F. Stadler
Peter F. Stadler is a scholar working on Molecular Biology, Cancer Research and Genetics, having authored 668 papers that have together received 38.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (250 papers), Genomics and Phylogenetic Studies (193 papers) and RNA modifications and cancer (148 papers). The work is most often cited by research in Cancer Research (6.5k citations), Molecular Biology (27.9k citations) and Genetics (6.7k citations). Peter F. Stadler has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Ivo L. Hofacker, Stephan Wolf, Christoph Flamm, Hakim Tafer, Walter Fontana, Frank Jühling, Peter Schuster, Matthias Bernt, Joern Pütz and Ronny Lorenz. 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.