Franziska Rabe
About
In The Last Decade
Franziska Rabe
3 papers receiving 513 citations
Hit Papers
Peers
Comparison fields: 5 of 37
- Plant Science 466
- Molecular Biology 190
- Cell Biology 149
- Pharmacology 21
- Ecology, Evolution, Behavior and Systematics 21
Countries citing papers authored by Franziska Rabe
This map shows the geographic impact of Franziska Rabe'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 Franziska Rabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franziska Rabe more than expected).
Fields of papers citing papers by Franziska Rabe
This network shows the impact of papers produced by Franziska Rabe. 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 Franziska Rabe. The network helps show where Franziska Rabe may publish in the future.
Co-authorship network of co-authors of Franziska Rabe
This figure shows the co-authorship network connecting the top 25 collaborators of Franziska Rabe. A scholar is included among the top collaborators of Franziska Rabe 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 Franziska Rabe. Franziska Rabe 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 | 13 | |
| 3 | 84 | |
| 4 | Metabolic priming by a secreted fungal effector breakdown → | 423 |
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.